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    Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems [[electronic resource] :] : third International Conference, ICDSST 2017, Namur, Belgium, May 29-31, 2017, Proceedings / / ed.: Linden, Isabelle., Liu, Shaofeng., Colot, Christian. - 1st ed. 2017. - [S. l. : s. n.]. - XVIII, 193 p. 76 illus. - Б. ц.
    Зміст:
Visualization Case Studies --
Visual decision support system for helping physicians to make a decision on new drugs --
Automatic traffic enforcement camera operation, based on a business intelligence system --
Multicriteria decision making for healthcare facilities location with visualization based on FITradeoff method --
Business process modelling and visualization to support e-government decision making: Business/IS alignment --
Visualization Perspectives --
Visualization for decision support in FITradeoff method: exploring its evaluation with cognitive neuroscience --
Incorporating Uncertainty into Decision-Making: An Information Visualization Approach --
Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining --
Value of Visual Analytics to South African Businesses --
Analytics and Decision --
Conceiving Hybrid What-If Scenarios Based on Usage Preferences --
A semantics extraction framework for decision support in context-specific social web networks --
A method for energy management and cost assessment of pumps in Waste Water Treatment Plants --
MCDM --
Implementation of an extended fuzzy VIKOR method based on triangular and trapezoidal fuzzy linguistic variables and alternative deffuzication techniques --
Integrating System Dynamics with exploratory MCDA for robust decision-making. .
Рубрики: Management information systems.
   Data mining.
   Operations research.
   Decision making.
   Application software.
   Management science.
   Production management.
   Business Information Systems.
   Data Mining and Knowledge Discovery.
   Operations Research/Decision Theory.
   Computer Appl. in Administrative Data Processing.
   Operations Research, Management Science.
   Operations Management.
Анотація: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017. The EWG-DSS series of the International Conference on Decision Support System Technology (ICDSST) offers a platform for European and international DSS communities, comprising the academic and industrial sectors, in order to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main topic of this year’s conference was “Data, Information and Knowledge Visualization in Decision Making”. The 13 papers presented in this volume were carefully reviewed and selected from 53 submissions. They were organized in topical sections named: visualization case studies; visualization perspectives; analytics and decision; and Multi-Criteria Decision Making.

Перейти: https://doi.org/10.1007/978-3-319-57487-5

Дод.точки доступу:
Linden, Isabelle. \ed.\; Liu, Shaofeng. \ed.\; Colot, Christian. \ed.\; SpringerLink (Online service)
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    Drew, John H.
    Computational Probability [[electronic resource] :] : algorithms and Applications in the Mathematical Sciences / / John H. Drew, Evans, Diane L., Glen, Andrew G., Leemis, Lawrence M. ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XI, 336 p. 85 illus., 25 illus. in color. - Б. ц.
    Зміст:
Computational Probability --
Maple for APPL --
Data Structures and Simple Algorithms --
Transformations of Random Variables --
Bivariate Transformations of Random Variables --
Products of Random Variables --
Data Structures and Simple Algorithms --
Sums of Independent Discrete Random Variables --
Order Statistics for Random Sampling from Discrete Populations --
Reliability and Survival Analysis --
Symbolic ARMA Model Analysis --
Stochastic Simulation --
Transient Queueing Analysis --
Bayesian Applications --
Other Applications. .
Рубрики: Operations research.
   Decision making.
   Statistics .
   Probabilities.
   Operations Research/Decision Theory.
   Statistics and Computing/Statistics Programs.
   Probability Theory and Stochastic Processes.
Анотація: This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.

Перейти: https://doi.org/10.1007/978-3-319-43323-3

Дод.точки доступу:
Evans, Diane L.; Glen, Andrew G.; Leemis, Lawrence M.; Drew, John H. \.\; SpringerLink (Online service)
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    Brill, Percy H.
    Level Crossing Methods in Stochastic Models [[electronic resource] /] : монография / Percy H. Brill ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XXVII, 559 p. 124 illus., 27 illus. in color. - Б. ц.
    Зміст:
Chapter 1. Origin of Level Crossing Method --
Chapter 2. Sample Path and System Point --
Chapter 3. M/G/1 Queues and Variants --
Chapter 4. M/M/C Queues --
Chapter 5. G/M/1 and G/M/c Queues --
Chapter 6. Dams and Inventories --
Chapter 7. Multi-Dimensional Models --
Chapter 8. Embedded Level Crossing Method --
Chapter 9. Level Crossing Estimation --
Chapter 10. Renewal Theory Using LC --
Chapter 11. Additional Applications of LC.
Рубрики: Operations research.
   Decision making.
   Management science.
   Operations Research/Decision Theory.
   Operations Research, Management Science.
Анотація: This is a complete update of the first edition of Level Crossing Methods in Stochastic Models, which was published in 2008. Level crossing methods are a set of sample-path based mathematical tools used in applied probability to establish reliable probability distributions. Since the basis for solving any applied probability problem requires a reliable probability distribution, Level Crossing Methods in Stochastic Models, Second Edition is a useful tool for all researchers working on stochastic application problems, including inventory control, queueing theory, reliability theory, actuarial ruin theory, renewal theory, pharmacokinetics, and related Markov processes. The second edition includes a new section with a novel derivation of the Benes series for M/G/1 queues. It provides new results on the service time for three M/G/I queueing models with bounded workload. It analyzes new applications of queues where zero-wait customers get exceptional service, including several examples on M/G/1 queues, and a new section on G/M/1 queues. Additionally, there are two other important new sections: on the level-crossing derivation of the finite time-t probability distributions of excess, age, and total life, in renewal theory; and on a level-crossing analysis of a risk model in Insurance. The original Chapter 10 has been split into two chapters: the new chapter 10 is on renewal theory, and the first section of the new Chapter 11 is on a risk model. More explicit use is made of the renewal reward theorem throughout, and many technical and editorial changes have been made to facilitate readability. Percy H. Brill, Ph.D., is a Professor emeritus at the University of Windsor, Canada. Dr. Brill is the creator of the level crossing method for analyzing stochastic models. He has published extensively in stochastic processes, queueing theory and related models, especially using level crossing methods.

Перейти: https://doi.org/10.1007/978-3-319-50332-5

Дод.точки доступу:
Brill, Percy H. \.\; SpringerLink (Online service)
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    Shan, Siqing.
    Emergency Response Decision Support System [[electronic resource] /] : монография / Siqing. Shan, Yan, Qi. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 70 p. 18 illus., 1 illus. in color. - Б. ц.
    Зміст:
Abstract --
Chapter 1 Introduction --
1.1 What Is Emergency Response --
1.2 What Is A Decision Support System (DSS)? --
1.3 What Is An Emergency Response Decision Support System (ERDSS)? --
1.4 ERDSS Business Values --
1.5 Current ERDSS Research --
1.6 ERDSS Challenges And Trends --
Chapter 2 The Emergency Response Decision Support System Framework --
2.1 The ERDSS Framework --
2.2 The Emergency Service Helpdesk Module --
2.3 The Command And Coordination Center Module --
2.4 The Emergency Plan Management Module --
2.5 The Emergency Relief Supplies Management Module --
2.6 The Emergency Finance Budget Management Module --
2.7 The Emergency Organization And Activity Management Module --
2.8 The Emergency Knowledge Warehouse Module --
2.9 The Emergency Warning Management Module --
2.10 The Emergency Alarm Management Module --
2.11 The Problem Analysis And Management Module --
Chapter 3 ERDSS Key Technologies --
3.1 Disaster Assessment Technology --
3.2 Adaptive Information Evaluation Technology --
3.3 Knowledge Management Technology --
3.4 Knowledge Evaluation Technology --
3.5 Blog Evaluation Technology --
3.6 Information Dissemination Analysis Technology --
3.7 Emergency Resource Scheduling Technology --
3.8 Simulation Modeling Technology --
3.9 Other Related Technologies --
Chapter 4 Case Study --
4.1 Disaster Rescue Decision Support System for Beijing --
4.2 Beijing Flood Emergency Management Intelligent Database System --
Acknowledgments.
Рубрики: Knowledge management.
   Operations research.
   Decision making.
   Data mining.
   Technology.
   Knowledge Management.
   Operations Research/Decision Theory.
   Data Mining and Knowledge Discovery.
   Applied Science, multidisciplinary.
Анотація: This book mainly addresses the Emergency Response Decision Support System (ERDSS) and its applications, making use of ten related modules and a number of key technologies, especially Disaster Assessing Technology, Adaptive Information Evaluation Technology and Knowledge Management Technology. The book is especially valuable in coping with disasters that result in the loss of human life and property, and which threaten the stability of our societies. The ERDSS enables people to prepare for potential incidents, to rapidly respond to them, and to cope with their aftermath. Presenting practical solutions, this book helps readers to understand the ERDSS and effectively respond to emergency events.

Перейти: https://doi.org/10.1007/978-981-10-3542-5

Дод.точки доступу:
Yan, Qi.; Shan, Siqing. \.\; SpringerLink (Online service)
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    Markov Decision Processes in Practice [[electronic resource] /] : монография / ed.: Boucherie, Richard J., van Dijk, Nico M. - 1st ed. 2017. - [S. l. : s. n.]. - XXXII, 552 p. 99 illus., 56 illus. in color. - Б. ц.
    Зміст:
One-Step Improvement Ideas And Computational Aspects --
Value Function Approximation In Complex Queueing Systems --
Approximate Dynamic Programming By Practical Examples --
Server Optimization Of Infinite Queueing Systems --
Structures Of Optimal Policies In Mdps With Unbounded Jumps: The State Of Our Art --
Markov Decision Processes For Screening And Treatment Of Chronic Diseases --
Stratified Breast Cancer Follow-Up Using A Partially Observable MDP --
Advance Patient Appointment Scheduling --
Optimal Ambulance Dispatching --
Blood Platelet Inventory Management --
Stochastic Dynamic Programming For Noise Load Management --
Allocation In A Vertical Rotary Car Park --
Dynamic Control Of Traffic Lights --
Smart Charging Of Electric Vehicles --
Analysis Of A Stochastic Lot Scheduling Problem With Strict Due-Dates --
Optimal Fishery Policies --
Near-Optimal Switching Strategies For A Tandem Queue --
Wireless Channel Selection With Restless Bandits --
Flexible Staffing For Call Centers With Non-Stationary Arrival Rates --
MDP For Query-Based Wireless Sensor Networks --
Optimal Portfolios And Pricing Of Financial Derivatives Under Proportional Transaction Costs. .
Рубрики: Operations research.
   Decision making.
   Management science.
   Probabilities.
   Operations Research/Decision Theory.
   Operations Research, Management Science.
   Probability Theory and Stochastic Processes.
Анотація: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach. The book is divided into six parts. Part 1 is devoted to the state-of-the-art theoretical foundation of MDP, including approximate methods such as policy improvement, successive approximation and infinite state spaces as well as an instructive chapter on Approximate Dynamic Programming. It then continues with five parts of specific and non-exhaustive application areas. Part 2 covers MDP healthcare applications, which includes different screening procedures, appointment scheduling, ambulance scheduling and blood management. Part 3 explores MDP modeling within transportation. This ranges from public to private transportation, from airports and traffic lights to car parking or charging your electric car. Part 4 contains three chapters that illustrates the structure of approximate policies for production or manufacturing structures. In Part 5, communications is highlighted as an important application area for MDP. It includes Gittins indices, down-to-earth call centers and wireless sensor networks. Finally Part 6 is dedicated to financial modeling, offering an instructive review to account for financial portfolios and derivatives under proportional transactional costs. The MDP applications in this book illustrate a variety of both standard and non-standard aspects of MDP modeling and its practical use. This book should appeal to readers for practitioning, academic research and educational purposes, with a background in, among others, operations research, mathematics, computer science, and industrial engineering.

Перейти: https://doi.org/10.1007/978-3-319-47766-4

Дод.точки доступу:
Boucherie, Richard J. \ed.\; van Dijk, Nico M. \ed.\; SpringerLink (Online service)
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    Grunig, Rudolf.
    Solving Complex Decision Problems [[electronic resource] :] : a Heuristic Process / / Rudolf. Grunig, Kuhn, Richard. ; . - 4th ed. 2017. - [S. l. : s. n.]. - XVII, 193 p. 122 illus. - Б. ц.
    Зміст:
Introduction --
Decision Problems and Decision-Making Procedures: Decision Problems --
Goal and Problem-Finding Systems as Requirements for the Discovery of Decision Problems --
Rational Decision-Making --
Decision-Making Procedures --
A General Heuristic Decision-Making Procedure: Overview of the Decision-Making Procedure --
Problem Verification and Analysis --
Developing and Evaluating the Solution Options --
Decision Maxims for Establishing the Overall --
Overall Evaluation on the Options and Decision --
A Case Study Illustrating the Application of the Procedure --
Special Problems and Approaches to Solve Them: Decision Sequences --
Information Procurement Decisions --
Collective Decisions --
Final Remarks.
Рубрики: Leadership.
   Operations research.
   Decision making.
   Business Strategy/Leadership.
   Operations Research/Decision Theory.
Анотація: Making decisions is certainly the most important task managers are faced with, and it is often a very difficult one. This book offers a procedure for solving complex decision problems step by step. Unlike other texts, the book focuses on problem analysis, on developing potential solutions, and on establishing a decision-making matrix. In this fourth edition of the book, published under a new title, the authors present simplified, actionable guidelines that can be easily applied to the individual steps in the heuristic process. The book is intended for decision-makers at companies, non-profit organizations and in public administration whose work involves complex problems. It will also benefit students and participants in executive courses.

Перейти: https://doi.org/10.1007/978-3-662-53814-2

Дод.точки доступу:
Kuhn, Richard.; Grunig, Rudolf. \.\; SpringerLink (Online service)
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    Sustainable Supply Chains [[electronic resource] :] : a Research-Based Textbook on Operations and Strategy / / ed. Bouchery, Yann. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - XV, 517 p. 68 illus., 35 illus. in color. - Б. ц.
    Зміст:
Perspectives on Sustainability and Sustainable Supply Chains --
Measuring Environmental Impacts in Supply Chains --
Introduction to Life Cycle Assessment --
Carbon Footprinting in Supply Chains --
Water Footprint Assessment in Supply Chains --
Sustainable Non-Renewable Materials Management --
Disclosing and Reporting Environmental Sustainability of Supply Chains --
Operational Aspects of Sustainable Supply Chains --
Green Logistics --
Green Inventory Management --
Green Facility Location --
Operational Implications of Environmental Regulation --
Responsible Purchasing: Moving from Compliance to Value Creation in Supplier Relationships --
Green Technology Choice --
Principles of EcoDesign in Sustainable Supply Chains --
Business Models and Strategy in Sustainable Supply Chains --
Market Value Implications of Voluntary Corporate Environmental Initiatives --
Business Implications of Sustainability Practices in Supply Chains --
Moving from a Product-Based Economy to a Service-Based Economy for a More Sustainable Future --
Closed-Loop Supply Chains: A Strategic Overview --
Sustainable Food Supply Chain Design --
Risk and Uncertainty Management for Sustainable Supply Chains --
The Social Dimension of Sustainable Supply Chains --
Improving Social and Environmental Performance in Global Supply Chains --
Social Responsibility in Supply Chains --
Cross-Sector Partnerships for Sustainable Supply Chains.
Рубрики: Operations research.
   Decision making.
   Business logistics.
   Industrial procurement.
   Operations Research/Decision Theory.
   Supply Chain Management.
   Procurement.
Анотація: This book is primarily intended to serve as a research-based textbook on sustainable supply chains for graduate programs in Business, Management, Industrial Engineering, and Industrial Ecology, but it should also be of interest for researchers in the broader sustainable supply chain space, whether from the operations management and industrial engineering side or more from the industrial ecology and life-cycle assessment side. As firms become progressively more tightly coupled in global supply chains, rather than being large vertically integrated monoliths, risks and opportunities associated with activities upstream or downstream will increasingly impinge upon their own wellbeing. For a firm to thrive, it is increasingly imperative that it be aware of economic, environmental and social dimensions of the entire supply chain it belongs to, and that it proactively monitor and manage those. Finding efficient solutions towards a more sustainable supply chain is increasingly important for managers, but clearly this raise difficult questions, often without clear answers. This book aims to provide insights into these kinds of questions for students and practitioners, based on the latest academic research. We have noticed a recent surge in the number of courses on “sustainable supply chain management” or related topics, but a relative lack of corresponding teaching materials. While sustainability has been widely studied at the level of company strategy and extensive related pedagogical materials exist, there is still a relative lack of materials on sustainability with a supply chain management perspective. This book is primarily intended to serve as a research-based textbook on sustainable supply chains for graduate programs in Business, Management, Industrial Engineering, and Industrial Ecology, but it should also be of interest for researchers in the broader sustainable supply chain space, whether from the operations management and industrial engineering side or more from the industrial ecology and life-cycle assessment side.

Перейти: https://doi.org/10.1007/978-3-319-29791-0

Дод.точки доступу:
Bouchery, Yann. \ed.\; Corbett, Charles J. \ed.\; Fransoo, Jan C. \ed.\; Tan, Tarkan. \ed.\; SpringerLink (Online service)
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    Optimization and Control for Systems in the Big-Data Era [[electronic resource] :] : theory and Applications / / ed. Choi, Tsan-Ming. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - X, 280 p. 34 illus., 30 illus. in color. - Б. ц.
    Зміст:
Preface --
1. Optimization and Control for Systems in the Big-Data Era: An Introduction --
- Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang --
Part I: Reviews on Optimization and Control Theories --
2. Dual Control in Big Data Era: An Overview --
- Peilin Fu --
3. Time Inconsistency and Self Control Optimization Problems: Progress and Challenges --
- Yun Shi, Xiangyu Cui --
4. Quadratic Convex Reformulations for Integer and Mixed-Integer Quadratic Programs --
- Baiyi Wu, Rujun Jiang --
Part II: Reviews on Optimization and Control Applications --
5. Measurements of Financial Contagion: A Primary Review from the Perspective of Structural Break --
- Xi Pei, Shushang Zhu --
6. Asset-Liability Management in Continuous-Time: Cointegration and Exponential Utility --
- Mei-Choi Chiu --
7. A Review of Modern Cryptography: From the World War II Era to the Big-Data Era --
- Bojun Lu --
8. Supply Risk in the New Business Era: Supply Chain Competition and Cooperation --
- Xiang Li, Yongjian Li, Linghua Zhao --
Part III: Financial Optimization Analysis --
9. A Parameterized Method for Optimal Multi-period Mean-Variance Portfolio Selection with Liability --
- Xun Li, Zhongfei Li, Xianping Wu, Haixiang Yao --
10. Sparse and Multiple Risk Measures Approach for Data Driven Mean-CVaR Portfolio Optimization Model --
- Jianjun Gao, Weiping Wu --
11. Multistage Optioned Portfolio Selection: Mean-Variance Model and Target Tracking Model --
- Jianfeng Liang --
12. Multi-period portfolio selection with stochastic investment horizon --
- Lan Yi< --
Part IV: Operations Analysis --
13. A New Model and Method for Order Selection Problems in Flow-shop Production --
- Jun Wang, Xiaoxiao Zhuang, Baiyi Wu --
14. Quick Response Fashion Supply Chains in the Big Data Era --
- Tsan-Ming Choi --
Part V: Concluding Remarks --
15. Optimization and Control for Systems in the Big-Data Era: Concluding Remarks --
- Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang .
Рубрики: Operations research.
   Decision making.
   Mathematical optimization.
   Application software.
   Operations Research/Decision Theory.
   Optimization.
   Information Systems Applications (incl. Internet).
Анотація: This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

Перейти: https://doi.org/10.1007/978-3-319-53518-0

Дод.точки доступу:
Choi, Tsan-Ming. \ed.\; Gao, Jianjun. \ed.\; Lambert, James H. \ed.\; Ng, Chi-Kong. \ed.\; Wang, Jun. \ed.\; SpringerLink (Online service)
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    International Manufacturing Strategy in a Time of Great Flux [[electronic resource] /] : монография / ed.: Brennan, Louis., Vecchi, Alessandra. - 1st ed. 2017. - [S. l. : s. n.]. - VI, 233 p. 16 illus. - Б. ц.
    Зміст:
Trends in manufacturing strategies: a longitudinal investigation of the international manufacturing strategy survey --
The taxonomy of international manufacturing strategies --
International manufacturing strategy: the impact of misalignment between national culture and organizational structure --
Catch-up strategies of emerging market firms: lessons learned from India and China --
Best strategic decisions in management of complex operations --
ICT and international manufacturing strategy --
Do improvement programs complement each other? --
Practices and performance in constraints management production planning and control systems --
Exploring critical success factors for implementing green lean six sigma --
S&OP related key performance measures with integration of sustainability and decoupling points.
Рубрики: Production management.
   Manufactures.
   Organization.
   Planning.
   Operations research.
   Decision making.
   Management.
   Industrial management.
   Management information systems.
   Operations Management.
   Manufacturing, Machines, Tools, Processes.
   Organization.
   Operations Research/Decision Theory.
   Innovation/Technology Management.
   Business Process Management.
Анотація: This book assesses the state of international manufacturing strategy and clarifies how recent developments, for example regarding configuration, technology, and the environment, are impacting on its content and direction and on its relationship to manufacturing performance. In providing up-to-date coverage of the consequences of such forces and factors for international manufacturing, this book aims to expand the debate concerning international manufacturing strategy and cast light on its current evolution. International manufacturing is operating within a time of great flux. While offshoring of activities has dominated over recent decades, nearshoring and reshoring are increasingly being considered and observed in practice. At the same time, technologies such as 3D-printing are gaining traction and the role of ICT and data analytics is increasingly important in the international manufacturing landscape while digitization becomes more prevalent and the embrace of the Internet of Things (IOT) accelerates. Furthermore, issues related to the environment are figuring more prominently in international manufacturing considerations, and assumptions regarding the long-term cost of energy are being called into question. International manufacturing is also experiencing greater servitization.

Перейти: https://doi.org/10.1007/978-3-319-25351-0

Дод.точки доступу:
Brennan, Louis. \ed.\; Vecchi, Alessandra. \ed.\; SpringerLink (Online service)
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10.

    Fujii, Satoshi.
    Prescription for Social Dilemmas [[electronic resource] :] : psychology for Urban, Transportation, and Environmental Problems / / Satoshi. Fujii ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 215 p. 47 illus. - Б. ц.
    Зміст:
What Are Social Dilemmas? --
Various Types of Social Dilemmas --
Strategies for Solving Social Dilemmas: Structural Strategy and Psychological Strategy --
Theory for Behavior modification Process for Cooperation --
“Objective–Information–Provision” Method --
“Inducing Temporary Cooperation” Method --
Basic Theory for Communication to Change Attitudes and Behavior --
Communicative Strategies to Change Attitudes and Behavior --
Successes and Crimes of the Structural Strategy --
For Introduction of a Structural Strategy --
Dilemmas of a High Order Produced by Structural Strategy --
Public Acceptance of Structural Strategy --
Concluding Remarks.
Рубрики: Operations research.
   Decision making.
   Economic theory.
   Sociology.
   Operations Research/Decision Theory.
   Economic Theory/Quantitative Economics/Mathematical Methods.
   Sociological Theory.
Анотація: This book provides a theoretical, empirical, and pragmatic understanding of social dilemmas (SDs). A SD is a social situation where cooperation maximizing collective or social profit is different from defection maximizing individual profit. Problems arise when too many group members choose to pursue individual profit and immediate satisfaction rather than behave in the group’s best long-term interests. The problems include an environmental problem and various types of urban, economic, and political problems. Most books treating SDs are not monographs but are proceedings or omnibus volumes written by different researchers. Few monographs have been published for SDs, but those few deal only with basic theories and empirical findings. This book, by contrast, is a monograph by a single author and provides complete coverage from basic theories in Part I to applied theories and pragmatic solutions for urban, transportation, and environmental problems in Parts II and III. Various types of strategies are proposed in this book to overcome the problems caused by SDs in various situations based on the basic theories of those dilemmas. The strategies are psychological and structural ones. The book includes theories, empirical evidence in experiments, and practical policies in the real world for these strategies. Thus, the work effectively provides a bridge between basic behavioral scientists, applied behavioral scientists, and practitioners. With this useful source, basic scientists will understand how to apply their scientific knowledge to the real world and also will encounter new scientific problems that should be solved scientifically. Applied researchers and specialists will become familiar with new solutions through basic research on SDs and will be made aware of new pragmatic problems that should be solved with a practical approach.

Перейти: https://doi.org/10.1007/978-4-431-55618-3

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Fujii, Satoshi. \.\; SpringerLink (Online service)
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11.

    Optimal Financial Decision Making under Uncertainty [[electronic resource] /] : монография / ed.: Consigli, Giorgio., Kuhn, Daniel., Brandimarte, Paolo. - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 298 p. 49 illus., 39 illus. in color. - Б. ц.
    Зміст:
Multi-period Risk Measures and Optimal Investment Policies --
Asset Price Dynamics: Shocks and Regimes --
Scenario Optimization Methods in Portfolio Analysis and Design --
Robust Approaches to Pension Fund Asset Liability Management under Uncertainty --
Liability-driven Investment in Longevity Risk Management --
Pricing Multiple Exercise American Options by Linear Programming --
Optimizing a Portfolio of Liquid and Illiquid Assets --
Stabilization Implementable Decisions in Dynamic Stochastic Programming --
The Growth Optimal Investment Strategy is Secure, Too --
Heuristics for Portfolio Selection --
Optimal Financial Decision Making under Uncertainty. .
Рубрики: Operations research.
   Decision making.
   Macroeconomics.
   Mathematical optimization.
   Operations Research/Decision Theory.
   Macroeconomics/Monetary Economics//Financial Economics.
   Optimization.
Анотація: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management. The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows: Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas. Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applications The inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods. Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems. Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.

Перейти: https://doi.org/10.1007/978-3-319-41613-7

Дод.точки доступу:
Consigli, Giorgio. \ed.\; Kuhn, Daniel. \ed.\; Brandimarte, Paolo. \ed.\; SpringerLink (Online service)
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12.

    Handbook of Marketing Decision Models [[electronic resource] /] : монография / ed.: Wierenga, Berend., van der Lans, Ralf. - 2nd ed. 2017. - [S. l. : s. n.]. - XI, 598 p. 35 illus., 19 illus. in color. - Б. ц.
    Зміст:
Chapter 1 --
Marketing Decision Models: Progress and Perspectives --
Introduction the Second Edition of the Handbook of Marketing Decision Models --
Berend Wierenga and Ralf van der Lans --
Chapter 2 --
Sales Promotion Models --
Harald van Heerde and Scott A. Neslin --
Chapter 3 --
Innovation and New Products Research --
A State-of-the-Art Review, Models for Managerial Decision Making, and Future Research Directions --
Tingting Fan, Peter N. Golder, and Donald R. Lehmann --
Chapter 4 --
Models for the Financial-Performance Effects of Marketing --
Dominique M. Hanssens and Marnik G. Dekimpe --
Chapter 5 --
Loyalty Programs: Current Insights, Research Challenges, and Emerging Trends --
Tammo H.A. Bijmolt and Peter C. Verhoef --
Chapter 6 --
Structural models in marketing: Consumer Demand and Search --
Pradeep K. Chintagunta --
Chapter 7 --
Economic Models of Choice --
Greg M. Allenby, Jaehwan Kim, and Peter E. Rossi --
Chapter 8 --
Empirical Models of Learning Dynamics: A Survey of Recent Developments --
Andrew T. Ching, Tulin Erdem, and Michael P. Keane --
Chapter 9 --
Measurement Models for Marketing Constructs --
Hans Baumgartner and Bert Weijters --
Chapter 10 --
Marketing Models for the Customer-Centric Firm --
Eva Ascarza, Peter S. Fader, and Bruce G. S. Hardie --
Chapter 11 --
Eye Movements during Search and Choice --
Ralf van der Lans and Michel Wedel --
Chapter 12 --
Business-Cycle Research in Marketing --
Barbara --
Deleersnyder and Marnik G. Dekimpe --
Chapter 13 --
Marketing Models for the Life Sciences Industry --
Vardan Avagyan , Vardit Landsman , and Stefan Stremersch --
Chapter 14 --
Marketing Models for Internet Advertising --
Randolph E. Bucklin and Paul R. Hoban --
Chapter 15 --
Advertising Effectiveness and Media Exposure --
Peter J Danaher --
Chapter 16 --
Social Media Analytics --
Wendy W. Moe, Oded Netzer, and David A. Schweidel --
Chapter 17 --
Integrating Social Networks into Marketing Decision Models --
Xi Chen, Ralf van der Lans and Michael Trusov --
Chapter 18 --
Morphing Theory and Applications --
Gui B. Liberali, John R. Hauser, and Glen L. Urban --
Biographies of Authors.
Рубрики: Operations research.
   Decision making.
   Marketing.
   Management science.
   Operations Research/Decision Theory.
   Marketing.
   Operations Research, Management Science.
Анотація: The Second Edition of this book presents the state of the art in this important field. Marketing decision models constitute a core component of the marketing discipline and the area is changing rapidly, not only due to fundamental advances in methodology and model building, but also because of the recent developments in information technology, the Internet and social media. This Handbook contains eighteen chapters that cover the most recent developments of marketing decision models in different domains of marketing. Compared to the previous edition, thirteen chapters are entirely new, while the remaining chapters represent complete updates and extensions of the previous edition. This new edition of the Handbook has chapters on models for substantive marketing problems, such as customer relationship management, customer loyalty management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological developments that are gaining popularity in the area of marketing decision models, such as structural modeling, learning dynamics, choice modeling, eye-tracking and measurement. The introductory chapter discusses the main developments of the last decade and discusses perspectives for future developments.

Перейти: https://doi.org/10.1007/978-3-319-56941-3

Дод.точки доступу:
Wierenga, Berend. \ed.\; van der Lans, Ralf. \ed.\; SpringerLink (Online service)
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13.

    Ulmer, Marlin Wolf.
    Approximate Dynamic Programming for Dynamic Vehicle Routing [[electronic resource] /] : монография / Marlin Wolf. Ulmer ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXV, 197 p. 55 illus., 6 illus. in color. - Б. ц.
    Зміст:
Introduction --
Part I: Dynamic Vehicle Routing --
Rich Vehicle Routing: Environment --
Rich Vehicle Routing: Applications --
Modeling --
Anticipatory --
Solution Approaches --
Literature Classification --
Part II: Stochastic Customer Requests --
Motivation --
SDVRP with Stochastic Requests --
Solution Algorithms --
Computational Evaluation --
Conclusion and Outlook.
Рубрики: Operations research.
   Decision making.
   Management science.
   Operations Research/Decision Theory.
   Operations Research, Management Science.
Анотація: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the theoretical ADP-methodology with illustrative examples from the field of SDVRPs. The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.

Перейти: https://doi.org/10.1007/978-3-319-55511-9

Дод.точки доступу:
Ulmer, Marlin Wolf. \.\; SpringerLink (Online service)
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14.

    Group Decision and Negotiation: Theory, Empirical Evidence, and Application [[electronic resource] :] : 16th International Conference, GDN 2016, Bellingham, WA, USA, June 20-24, 2016, Revised Selected Papers / / ed.: Bajwa, Deepinder., Koeszegi, Sabine T., Vetschera, Rudolf. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 175 p. 30 illus. - Б. ц.
    Зміст:
Individual Preferences in Group Decision and Negotiation --
The Application of Item Response Theory for Analyzing the Negotiators’ Accuracy in Defining Their Preferences --
Trade-Offs for Ordinal Ranking Methods in Multi-Criteria Decisions --
Group Decision Making --
Multi-Criteria Group Decision Making with Private and Shared Criteria: An Experiment --
Plurality, Borda Count, or Anti-plurality: Regress Convergence Phenomenon in the Procedural Choice --
Estimating Computational Models of Dynamic Decision Making from Transactional Data --
Demystifying Facilitation: A New Approach to Investigating the Role of Facilitation in Group Decision Support Processes --
Negotiations --
Bargaining Power – Measuring Its Drivers and Consequences in Negotiations --
A Deviation Index Proposal to Evaluate Group Decision Making Based on Equilibrium Solutions --
What Computers Can Tell Us about Emotions – Classification of Affective Communication in Electronic Negotiations by Supervised Machine Learning --
Applications of Group Decision and Negotiation --
Facebook and the Elderly: The Benefits of Social Media Adoption for Aged Care Facility Residents --
How to Help a Pedagogical Team of a MOOC Identify the “Leader Learners” --
Negotiating Peace: The Role of Procedural and Distributive Justice in Achieving Durable Peace.
Рубрики: Management information systems.
   Operations research.
   Decision making.
   Application software.
   Game theory.
   Business Information Systems.
   Operations Research/Decision Theory.
   Computer Appl. in Administrative Data Processing.
   Game Theory, Economics, Social and Behav. Sciences.
   Information Systems Applications (incl. Internet).
Анотація: This book constitutes revised selected papers from the 16th International Conference on Group Decision and Negotiation, GDN 2016, held in Bellingham, WA, USA, in June 2016. The GDN meetings aim to bring together researchers and practitioners from a wide spectrum of fields, including economics, management, computer science, engineering, and decision science. The 12 papers presented in this volume were carefully reviewed and selected from 70 submissions. They deal with the fundamental part of all decision processes and individual preferences; the situations of group decision making; the collective decision making in situations characterized by a higher level of conflict; and the group processes and negotiations in different subject areas.

Перейти: https://doi.org/10.1007/978-3-319-52624-9

Дод.точки доступу:
Bajwa, Deepinder. \ed.\; Koeszegi, Sabine T. \ed.\; Vetschera, Rudolf. \ed.\; SpringerLink (Online service)
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15.

    Proceedings of the Fourth International Forum on Decision Sciences [[electronic resource] /] : монография / ed.: Li, Xiang., Xu, Xiaofeng. - 1st ed. 2017. - [S. l. : s. n.]. - XI, 899 p. 111 illus., 64 illus. in color. - Б. ц.
    Зміст:
Innovation Research on Three-Dimensional Central Coordination of University-Industry-Government under Triple Helix Perspective --
The Innovative Pattern of Bulk Commodity Supply Chain Based on Internet Finance --
Social Attribute Preference Learning Based Design Decision of Electrical Engineering Projects --
Global Climate Change Studying Based on Big Data Analysis of Antarctica --
The Analysis of Our Energy Internet Development Prospect under the Background of “B&R” --
Study on the Relationship between Managerial Power and the Quality of Accounting Information --
Behavioral Selections of the Express Company and the Customer: An Analysis Based on Evolution Game Theory --
The Effects of Social Commerce Disputes of Rating Result --
Project Bid Evaluation Research Based on the Aggressive Generalized DEA Model --
The Mechanism of Empowering Leadership’s Effect on Employee Creativity in Dingtalk Alibaba Context --
The Credit Scoring Model Based on Logistic-BP-AdaBoost Algorithm and Its Application in P2P Credit Platform --
Dynamic Simulation of Stock Market Based on SVM With Different Parameter Optimization Methods --
The Analysis of China's Cotton Subsidy Policy Based on MPS and CSCT --
The Analysis of Farmers Cognition and the Influence of the Cotton Target Price Reform in Xinjiang --
Experimental Economics Analysis of Environment-Friendly Agricultural Technique Decision-Making --
Research On the Linkage Effect Between Shanghai and Shenzhen 300 Stock Index and the Shanghai and Shenzhen Fund Index --
Competitiveness Assessment of China Listed Household Electric Appliance Enterprises by the Principal Component Analysis --
The Analysis of Internet Development Index Based on Visualization --
A Comparative Analysis Study Of Data Mining Algorithm In Customer Relationship Management --
Research on Value Evaluation of Scientific and Technical Human Capital Based on Key Performance Indicators --
Analysis of Factors Affecting Consumers’ Brand Trust under Different Purchasing Behaviors --
Big Data to Lead A New Era for “Internet+”: Current Status and Prospect --
Research on Fault Detection of High-Speed Train Bogie --
Influence of Customer to Customer Interaction on Service Purchase Behavior Intention: Moderating Role of Customer Experience——In China E-Commerce Environment --
Evolutionary Game and Simulation on the Internet of Things in Supply Chain --
Pricing Structure Financial Products of Commercial Banks in China --
A Chance Maximization Model for Uncertain Project Scheduling Problem --
The Explorer of Decision-Making in Class --
Some Power Aggregation Operators for Hesitant Intuitionistic Fuzzy Linguistic Set and Their Applications to Multiple Attribute Decision Making --
Mechanics Analysis in Cable Supported Barrel Vault Based on the Uncertain Damage --
Formulas to Calculate the Variance and Pseudo-Variance of Complex Uncertain Variable --
Measure Constraint Model and Its Properties of Closed-Loop Logistics Network --
Chance Left Constraint Model for TSP and Its GASO Algorithm --
Research on the Impact of the Counter Marketing to the Sales Performance of China's Tobacco Industry --
The Manufacturing Enterprise of China Internal Control and the Agency Costs --
Research on the Development and Management of Intellectual Property in the Aerospace Manufacturing Industry --
Under the Trend of Wisdom Supply Chain, Finance Storage Risk Identification and Aversion Countermeasures Research in Our Country --
Research Status of Earned Value Management --
Reliability Analysis of Unrepairable Warm Standby Systems Mixed With Randomness and Fuzziness --
Research on the Marketing Strategy of the New Media Age Based on AISAS Model:A Case Study Of Micro Channel Marketing --
Overview and Prospect of the Research on the Product Oil Consumption Tax in China --
A Survey of Electronic Commerce Tax Collection and Management --
Development Analysis of O2O Model Based on Mobile Electronic Business --
Research on Modeling Customer Churn in Video Players --
Risk Analysis of Supply Chain Pricing Problem Based on Uncertain Measure --
Pricing Decision Problem in Closed-Loop Supply Chain under Uncertain Random Environment --
Competition in A Two-Channel Supply Chain With Symmetric Retailers under Channel Preference --
Uncertain Resource-Constrained Project Scheduling Problem with Net Present Value Criterion for Risk-Averse Decision Makers --
Research on the Development of Cross-Border E-Commerce in Port Cities——A Case of Manzhouli City --
Study on Development Countermeasure of Manzhouli Wood Processing Industrial Cluster --
The Study of Relationship between Diversification Strategy and Customers Performance in Service Industry— An Example Analysis of High-End Catering Enterprise in Beijing --
The"Internet +" Based Study on the Development Strategy ABAOT Sino-Russian Cross-Border E-Commerce --
The SWOT Analysis and Countermeasure Research of Travel Agency Online Marketing in Network Times --
The Analysis of the Management Mode of Decision-Making Characteristics and Development Trend of Engineering Project --
Study of Community E-Commerce Logistic Distribution Model Based on Intelligent Community Property --
Research on the Development Strategy of Cultural Enterprises Based on the Negative WOM --
The Literature Review on the Research of Derailment --
Regulation of Equity Crowdfunding in Hong Kong --
The Impact of Big Data on Small and Medium-Sized Enterprises Financing --
Uncertain Optimization Model for Railway Power Supply Equipment Maintenance Scheduling Problem --
Research on Yong Teachers’ Salary System in Private Colleges --
The Problems and Suggestions of Express "Real-Name System" in Our Country --
Introduction to Network Economy Era of Customer Relationship Management --
Research on the Tourism Consumption Behavior of College Students in the Mobile Social Network Environment --
Application of Improved Adaptive Genetic Algorithm in Train Energy Saving --
Optimal Inventory Policy for Newsboy Problem Based on Fuzzy Random Demand --
Research on the Causes and Countermeasures of the Price Dispersion of Online Retail Commodity --
Empirical Analysis of Influence Factor of Investment Income of Commercial Bank Financial Product --
Empirical Analysis on the Evolution of Development Mode of Cultural Creative Industry --
The Effect of Chinese Listed Company Manager’s Irrational Merger and Acquisition Decision on the Performance --
Research on Competitiveness of Listed Security Companies in China --
Research on the Evaluation of Rural Credit Cooperatives in Agriculture Efficiency in China’s Various Regions --
The Empirical Study on the Comprehensive Evaluation of Agricultural Economic Development Level in Various Regions of Heilongjiang Province --
The Chinese Regional Rural Credit Unions’ Efficiency Evaluation Based on Network DEA --
Analysis of Economic Benefit of Resource-Based City’s Transformation Based on the Development of Modern Service Industry --
Research on the Comprehensive Evaluation of Financial Ecological Environment in Various Regions of Heilongjiang Province --
Research on Performance Evaluation of Agricultural Development in Different Regions in China --
The Empirical Research on the Technical Efficiency and the Influencing Factors with the County Agency of Agricultural Development Bank of China --
The Empirical Study on the Evaluation and Improvement of Wheat Cost and Benefit Efficiency in Different Regions in China --
A Biclustering-Based Lead User Identification Methodology Applied to Xiaomi --
Discrete Tunnel-Filled Function Method for Discrete Global Optimization Problems --
The Trend Research of Intergenerational Income Elasticity Change between Father and Son - Based On The CHNS Data of Three Provinces in Central Empirical --
Research on the Legal Regulation of China's E-Finance Field.
Рубрики: Operations research.
   Decision making.
   Business logistics.
   Operations Research/Decision Theory.
   Logistics.
Анотація: These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme “Data-Driven Decision-Making.” The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

Перейти: https://doi.org/10.1007/978-981-10-2920-2

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Li, Xiang. \ed.\; Xu, Xiaofeng. \ed.\; SpringerLink (Online service)
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16.

    Kuschel, Torben.
    Capacitated Planned Maintenance [[electronic resource] :] : models, Optimization Algorithms, Combinatorial and Polyhedral Properties / / Torben. Kuschel ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXIX, 286 p. 17 illus., 9 illus. in color. - Б. ц.
    Зміст:
Introduction --
The Capacitated Planned Maintenance Problem --
Known concepts and solution techniques --
The Weighted Uncapacitated Planned Maintenance Problem --
Analyzing the solvability of the Capacitated Planned Maintenance Problem --
Algorithms for the Capacitated Planned Maintenance Problem --
Computations for the Capacitated Planned Maintenance Problem --
Final remarks and future perspectives. .
Рубрики: Operations research.
   Decision making.
   Mathematical optimization.
   Production management.
   Algorithms.
   Polytopes.
   Combinatorics.
   Operations Research/Decision Theory.
   Optimization.
   Production.
   Algorithm Analysis and Problem Complexity.
   Polytopes.
   Combinatorics.
Анотація: This book examines the problem of maintenance planning and scheduling in industrial production systems. It presents two practically relevant, deterministic mathematical models: the capacitated planned maintenance problem (CPMP) and the weighted uncapacitated planned maintenance problem (WUPMP). It introduces specific optimization algorithms such as construction heuristics, Lagrangean and tabu search metaheuristics. A problem independent hybrid approach links and alternates between two Lagrangean relaxations. It also analyzes the solvability with respect to the computational complexity of several problem classes, polyhedral properties and lower bounds. Computational studies demonstrate the performance of the heuristics, lower bounds, subgradients obtained from heuristics and the quality of dual information. This unique book includes implementation details and an introduction to the necessary theory making it suitable for upper undergraduate students.

Перейти: https://doi.org/10.1007/978-3-319-40289-5

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Kuschel, Torben. \.\; SpringerLink (Online service)
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17.

    Bahill, A. Terry.
    Tradeoff Decisions in System Design [[electronic resource] /] : монография / A. Terry. Bahill, Madni, Azad M. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXIV, 698 p. 189 illus., 103 illus. in color. - Б. ц.
    Зміст:
System Design and the Design Process --
Decisions and Mistakes --
Common Methods and Processes --
Discovering System Requirements --
Tradeoff Studies --
Risk Analysis and Management --
Comparing Four Processes.
Рубрики: Operations research.
   Decision making.
   Industrial engineering.
   Production engineering.
   Control engineering.
   Operations Research/Decision Theory.
   Industrial and Production Engineering.
   Control and Systems Theory.
Анотація: This textbook is about three key aspects of system design: decision making under uncertainty, trade-off studies and formal risk analyses. Recognizing that the mathematical treatment of these topics is similar, the authors generalize existing mathematical techniques to cover all three areas. Common to these topics are importance weights, combining functions, scoring functions, quantitative metrics, prioritization and sensitivity analyses. Furthermore, human decision-making activities and problems use these same tools. Therefore, these problems are also treated uniformly and modeled using prospect theory. Aimed at both engineering and business practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Tradeoff Decisions in System Design explains how humans can overcome cognitive biases and avoid mental errors when conducting trade-off studies and risk analyses in a wide range of domains. With generous use of examples as a common thread across chapters this book. employs uml

Перейти: https://doi.org/10.1007/978-3-319-43712-5

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Madni, Azad M.; Bahill, A. Terry. \.\; SpringerLink (Online service)
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18.

    Big Data Management [[electronic resource] /] : монография / ed.: Garcia Marquez, Fausto Pedro., Lev, Benjamin. - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 267 p. 107 illus., 38 illus. in color. - Б. ц.
    Зміст:
Introduction --
The Big Data Business Opportunity --
The Business Transformation by Big Data --
Data Integration and Management Science --
Novel Approaches for Big Data Analytics --
Case Studies: Engineering; Financial; Economic; Business; Project Management --
Signal Processing.
Рубрики: Management information systems.
   Engineering economics.
   Engineering economy.
   Operating systems (Computers).
   Operations research.
   Decision making.
   Management.
   Industrial management.
   Business Information Systems.
   Engineering Economics, Organization, Logistics, Marketing.
   Operating Systems.
   Operations Research/Decision Theory.
   Innovation/Technology Management.
Анотація: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Перейти: https://doi.org/10.1007/978-3-319-45498-6

Дод.точки доступу:
Garcia Marquez, Fausto Pedro. \ed.\; Lev, Benjamin. \ed.\; SpringerLink (Online service)
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19.

    A Guide to Systems Research [[electronic resource] :] : philosophy, Processes and Practice / / ed.: Edson, Mary C., Buckle Henning, Pamela., Sankaran, Shankar. - 1st ed. 2017. - [S. l. : s. n.]. - XV, 244 p. 36 illus., 11 illus. in color. - Б. ц.
    Зміст:
Foreword --
1. Philosophical Foundations of Systems Research --
2. Systems Research Framework --
3. Problem Structuring and Research Design in Systemic Inquiry --
4. Modeling and Simulation --
5. Taking Action Using Systems Research --
6. Systems Research Reporting --
7. Competencies Necessary for Systems Research --
8. Evaluating the Impact of Systems Research.
Рубрики: Organization.
   Planning.
   Operations research.
   Decision making.
   Economic sociology.
   Computational complexity.
   Project management.
   Organization.
   Operations Research/Decision Theory.
   Organizational Studies, Economic Sociology.
   Complexity.
   Project Management.
Анотація: This guide is designed for systems researchers – emerging and seasoned – searching for holistic approaches of inquiry into complexity, which the Systems Sciences provide. The authors share insight into the foundations of research that are not only systematic in terms of rigor, but systemic in perspective, analysis, design, development, implementation, reporting, and evaluation. This guide also explores researcher competencies necessary to conduct sound systems research. Researchers using this guide will gain understanding of what distinguishes systems research from other types of research and why it is important in research today.

Перейти: https://doi.org/10.1007/978-981-10-0263-2

Дод.точки доступу:
Edson, Mary C. \ed.\; Buckle Henning, Pamela. \ed.\; Sankaran, Shankar. \ed.\; SpringerLink (Online service)
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20.

    Hanne, Thomas.
    Computational Intelligence in Logistics and Supply Chain Management [[electronic resource] /] : монография / Thomas. Hanne, Dornberger, Rolf. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XX, 176 p. 20 illus., 14 illus. in color. - Б. ц.
    Зміст:
Introduction to Logistics and Supply Chain Management --
Computational Intelligence --
Transportation Problems --
Inventory Planning and Lot-Sizing --
Scheduling --
Location Planning and Network Design --
Intelligent Software for Logistics.
Рубрики: Operations research.
   Decision making.
   Production management.
   Industrial engineering.
   Production engineering.
   Operations Research/Decision Theory.
   Operations Management.
   Industrial and Production Engineering.
Анотація: This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them. .

Перейти: https://doi.org/10.1007/978-3-319-40722-7

Дод.точки доступу:
Dornberger, Rolf.; Hanne, Thomas. \.\; SpringerLink (Online service)
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