Download or read book Decision Control in Management Science written by Georges Zaccour and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Decision and Control written by Stafford Beer and published by John Wiley & Sons. This book was released on 1966 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Study of operational research in management - includes sections on decision making and control, simulation, automation and the outcome for industry and government.
Download or read book Systems and Decision Making written by Hans G. Daellenbach and published by . This book was released on 1994-10-11 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Models and Managers The Concept of a Decision Calculus written by John D. C. Little and published by Palala Press. This book was released on 2018-03-03 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Decision Control Management and Support in Adaptive and Complex Systems Quantitative Models written by Pavlov, Yuri P. and published by IGI Global. This book was released on 2013-02-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Management Control Systems in Complex Settings Emerging Research and Opportunities written by Zanin, Filippo and published by IGI Global. This book was released on 2017-12-08 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Management Science written by Robert A. Dunn and published by . This book was released on 1981 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quality Decision Management The Heart of Effective Futures Oriented Management written by E.G. Frankel and published by Springer Science & Business Media. This book was released on 2008-12-21 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Application of Decision Science in Business and Management written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2020-03-04 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Decision making written by Rebecca Hudson and published by Nova Science Publishers. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines various decision-making processes, influences and its role in business management. The chapters describe the original decision-making approach based on joint use of the multi-criteria method and the method of group preferences in business management; a discussion on the internationalization decision-making process of small-medium enterprises (SMEs); and an examination on the efficiency of computer decision support systems by developing a set of universal analytic models for increasing the efficiency of fuzzy input information processing.
Download or read book Optimal Control Theory written by Suresh P. Sethi and published by Taylor & Francis US. This book was released on 2006 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from their research and classroom instruction. Sethi and Thompson have provided management science and economics communities with a thoroughly revised edition of their classic text on Optimal Control Theory. The new edition has been completely refined with careful attention to the text and graphic material presentation. Chapters cover a range of topics including finance, production and inventory problems, marketing problems, machine maintenance and replacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory.
Download or read book Hierarchical Decision Making in Stochastic Manufacturing Systems written by Suresh P. Sethi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs.
Download or read book Management Control written by Samuel Eilon and published by Pergamon. This book was released on 1979 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifies the control function as a central theme in the management process. The essential ingredients of control include the specification of a goal (or goals), a measurement task, feedback information on performance, and the decision to take corrective action. The absence of any of these ingredients can only result in the action. The absence of any of these ingredients can only result in the management activity becoming ineffectual or even meaningless. A manager may, therefore, be identified as a controller of a system, and the book proceeds to explore first the relationships between a controller and his system and secondly the interactions between several controllers operating within the same system. The nature of the decision making process is then analysed and various types of decisions are identified, followed by a discussion of problems associated with organizational design.
Download or read book Applied Management Science written by John A. Lawrence and published by . This book was released on 2010-04-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Management Science and Decision Technology written by Jeffrey D. Camm and published by South Western Educational Publishing. This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Management Science written by Donald McNickle and published by Palgrave Macmillan. This book was released on 2005-01-15 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for a wide-range of mathematical abilities, this comprehensive, accessible overview emphasizes the conceptual aspects of decision-making rather than mathematical techniques or computer methods. Structured around a clear framework, the text first builds up the basic ideas of systems and shows how hard "OR" incorporates these concepts into its modeling process. It also incorporates important real-world aspects such as time, decision-making over time, constraints, uncertainty and multiple objectives into this framework, and shows how conflicts and ambiguities of world views lead to fundamental changes in the aims and models of decision-making approaches. A companion website is located at: http://www.palgrave.com/business/daellenbach/index.asp
Download or read book Optimal Decisions Under Uncertainty written by J.K. Sengupta and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.