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Decision & Control in Management Science

Decision & Control in Management Science
Author: Georges Zaccour
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2013-04-17
Genre: Business & Economics
ISBN: 1475735618

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Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems. Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.


Decision and Control

Decision and Control
Author: Stafford Beer
Publisher: John Wiley & Sons
Total Pages: 578
Release: 1966
Genre: Business & Economics
ISBN:

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Study of operational research in management - includes sections on decision making and control, simulation, automation and the outcome for industry and government.


Systems and Decision Making

Systems and Decision Making
Author: Hans G. Daellenbach
Publisher:
Total Pages: 570
Release: 1994-10-11
Genre: Business & Economics
ISBN:

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Systems and Decision Making A Management Science Approach Hans G Daellenbach University of Canterbury, Christchurch, New Zealand Traditional methods of problem solving, based on the cause-and-effect model, can no longer cope with the complex situations in which decisions have to be made today. These problem situations occur within a systems context. Most of these systems are created and controlled by humans and it is, therefore, important that decision making is guided by a systematic and comprehensive methodology that helps the decision maker to make effective use of his/her extensive but limited powers of reasoning. Systems and Decision Making combines contemporary systems work with Operations Research (OR). Daellenbach places an emphasis on developing a methodology for decision situations that lend themselves to quantitative approaches rather than give an elementary survey of many OR/MS techniques. It incorporates some of the learnings of soft systems methodology for more practical problem solving, particularly at the problem identification and formulation stages. The text also shows that the scientific component of modelling can be considerably enhanced by the use of various diagrammatic devices. The second part of the book studies a number of topics important for the analyst, such as how to deal with the time element, with constraints, with uncertainty, and with multiple goals. These are demonstrated by various OR/MS techniques. Systems and Decision Making is an excellent core text for undergraduate and graduate students of systems, management science and MBA courses.


Models and Managers: The Concept of a Decision Calculus

Models and Managers: The Concept of a Decision Calculus
Author: John D. C. Little
Publisher: Palala Press
Total Pages: 70
Release: 2018-03-03
Genre: Business & Economics
ISBN: 9781379109389

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.


Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models

Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models
Author: Pavlov, Yuri P.
Publisher: IGI Global
Total Pages: 280
Release: 2013-02-28
Genre: Mathematics
ISBN: 1466629681

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In order to ensure the criteria for monitoring and managing the various problems and design for decision control, a mathematical description of exact human knowledge is required for the management of adaptive and complex systems. Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models presents an application and demonstration of a new mathematical technique for descriptions of complex systems. This comprehensive collection contains scientific results in the field of contemporary approaches to adaptive decision making that is essential for researchers, scholars, and students alike.


Management Science and Decision Technology

Management Science and Decision Technology
Author: Jeffrey D. Camm
Publisher: South Western Educational Publishing
Total Pages: 0
Release: 2000
Genre: Business & Economics
ISBN: 9780324007152

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The focus of this book is on using data and spreadsheet models effectively for the analysis of business problems and decision making. Included are discussions of building good spreadsheet models; data collection, visualization, and statistical analysis; forecasting; optimization using Excel Solver; decision and risk analysis; and simulation using Crystal Ball add-in for Excel and Arena BE. The principal focus is on gaining insight and intuition for better decisions, with applications in operations planning, finance, and marketing.


Management Control Systems in Complex Settings: Emerging Research and Opportunities

Management Control Systems in Complex Settings: Emerging Research and Opportunities
Author: Zanin, Filippo
Publisher: IGI Global
Total Pages: 204
Release: 2017-12-08
Genre: Business & Economics
ISBN: 1522539883

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Organizations are constantly creating original initiatives, product lines, or implementing new workflows to remain competitive in the contemporary business world. Employing optimum methods for efficient performance and timely completion of tasks is vital to the success of a business. Management Control Systems in Complex Settings: Emerging Research and Opportunities is a noteworthy reference work for the latest academic research on business management and the complexity involved in decision-making, direction, measurement, and the evaluation of a company. Containing broad commentary on an assortment of relevant views and issues, such as customer loyalty and reputation, effective manufacturing processes, and strategic issues in complex firms, this book is optimally intended for business professionals, managers, and aspiring entrepreneurs as well as students and academics looking for groundbreaking analysis on the Three Vs model of inventory management and value creation.


Management Science

Management Science
Author: Robert A. Dunn
Publisher:
Total Pages: 527
Release: 1981
Genre: Decision-making
ISBN: 9780029775509

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Quality Decision Management -The Heart of Effective Futures-Oriented Management

Quality Decision Management -The Heart of Effective Futures-Oriented Management
Author: E.G. Frankel
Publisher: Springer Science & Business Media
Total Pages: 115
Release: 2008-12-21
Genre: Technology & Engineering
ISBN: 1402089961

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Over the years I have worked with or consulted for many managers throughout the world at all levels of industry and government. I have seen who succeeded, achieved goals, and made progress, and who failed or crashed. I have studied their methods of operation and their decision-making approach, as well as the range of people involved in the decision-making. I similarly personally managed large industrial and service organizations and their operations, and found that to succeed and have a content team of collaborators, decision-making had to be joint and delegated to the lowest competent and informed level. Using this approach not only improved the performance of the organization or firm, but also resulted in a more content, professional, cooperative, happy, and competent workforce. In general, people like to assume responsibility, particularly of functions with which they are intimately familiar. They enjoy the role of de- sion-maker and the use of their knowledge and experience in guiding their and related work. Delegation of decision-making not only infuses pride and conte- ment but also assures more informed, timely, and effective implementation of de- sions. It also adds to worker training and education as workers inquire, develop information and use of their own experience in improving their decision-making. Worker pride and feeling of control and involvement lead to contentment and s- isfaction which, in return, pays dividends in worker productivity, morale, retention, and resulting low turnover.


Application of Decision Science in Business and Management

Application of Decision Science in Business and Management
Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
Total Pages: 247
Release: 2020-03-04
Genre: Business & Economics
ISBN: 1838800999

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Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.