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Books > Business & Economics > Business & management > Management of specific areas > General
Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events. Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.
The principle aim of this book, entitled "Operations ResearchlManagement Science at Work", is to provide a summary snapshot of recent research in and applications of Operations Research (OR)/ Management Science (MS) in the Asia-pacific region. The book emphasises research having potential industry interest, covering a wide range of topics from major fields of ORIMS in a systematic and coherent fashion and shows the elegance of their implementations. The book is intended to serve the needs of applied researchers who are interested in applications of ORIMS algorithms. The book includes descriptions of many real-world problems together with their solutions; we hope the reader will appreciate their applicability. The Asia-pacific region has embraced business applications of decision support systems in recent years. Given that many of these applications are unaffected by legacy models or systems it has meant that state of the art ORIMS techniques have been embedded in them. Moreover, the increased use of OR/MS techniques in this region provides opportunities for identifying methodological advances that are taking place as a result of the unique nature of the applications. These also provide opportunities for exploring synergies and interfaces that exist between OR/MS, from the point of view of applications as well as theoretical advances.
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The applications of fuzzy criterion dynamic programming models are illustrated by reservoir operations including the integrated network of reservoir operation and the open inventory network problems. An interesting feature of this book is the special attention it pays to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models, thus opening up a new way of injecting the much-needed type of non-cost, intuitive, and easy-to-use methods into multi-stage inventory processes. This is accomplished by constructing and optimizing the fuzzy criterion models developed for inventory processes. Practitioners in operations research, management science, and engineering will find numerous new ideas and strategies for modeling real world multi- stage inventory problems, and researchers and applied mathematicians will find this work a stimulating and useful reference.
In this wide-ranging book, Warren Greenberg surveys the health care industry using the economics of industrial organisations approach. By doing so, he provides the reader with an understanding of the differences between health care and other industries in the economy. As a result, this will be ideal for students in health care economy and policy who need to gain an understanding of this, the single largest sector of the economy.
Supervisory Control of Discrete Event Systems Using Petri Nets presents a novel approach to its subject. The concepts of supervisory control and discrete event systems are explained, and the background material on general Petri net theory necessary for using the book's control techniques is provided. A large number of examples is used to illustrate the concepts and techniques presented in the text, and there are plenty of references for those interested in additional study or more information on a particular topic. Supervisory Control of Discrete Event Systems Using Petri Nets is intended for graduate students, advanced undergraduates, and practicing engineers who are interested in the control problems of manufacturing, communication and computer networks, chemical process plants, and other high-level control applications. The text is written from an engineering perspective, but it is also appropriate for students of computer science, applied mathematics, or economics. The book contains enough background material to stand alone as an introduction to supervisory control with Petri nets, but it may also be used as a supplemental text in a course on discrete event systems or intelligent autonomous control.
Quality-Oriented Design of Business Processes introduces a modeling method, `Integrated Enterprise Modelling' (IEM), which is related to ISO standards and provides manufacturing organizations with the means of analyzing, improving, and redesigning their business processes. The purpose of the book is to improve the quality of products and organizational performance through optimizing complex business processes and organizational design. Clearly, changing markets and innovative competitors force each company to study and improve its organization, its business processes, and the technologies it employs. Whoever drops behind in these times loses market share and endangers the long-term existence of the company. Hence, it is critical to realign the entire corporate planning and design throughout the value-added chain to speed up the business processes. The book is the result of a scientific study funded by the German Federal Ministry for Research and Technology. The authors develop the concept of Quality-Oriented Design of Business Processes, which is the underlying motivation for IEM. Moreover IEM is the engine for achieving the integration of quality management into the design and planning of business processes. The book discusses the IEM method thoroughly and applies it to the concept of `Quality-Oriented Design of Business Processes' throughout the book. This concept is illustrated with an example of a company. Finally, the book describes the entry of the IEM method into national, European and international standardization.
If you think more strategically than your competitors, your company will win the competitive battle in the mid or long term. This book explains simply and clearly the elements, concepts, analyses and interrelationships that make up this strategic thinking, and shows how to employ it in your business or organization.
The ARIS architecture developed here is described in concrete terms as an information model within the entity-relationship approach. This information model, in turn, serves as the basis for the systematic and rational application of methods in the development of information systems. Furthermore, it provides the basis for storing the enterprise's application-specific data, organization and function models. The ARIS architecture constitutes a framework within which integrated applications can be developed, optimized and converted into EDP-technical implementations. At the same time, it demonstrates how economics can examine and analyze information systems so as to translate their contents into EDP-form.
There is a wide variety of perspectives for productivity analysis. The back grounds of different researchers and practitioners who work on this topic include such fields as economics, business administration, and industrial engineering, among others. Within each such field, there are different schools of thought on the theory and application of productivity analysis. Often it is not difficult to observe a lack of communication among the advocates of these separate schools. The purpose of this book is to present in a single volume samples of alternative approaches to productivity analy sis. This may be considered as a first step toward a better communication among practitioners and researchers in the fields of management, industrial engineering, and economics. The focus of the book is on the United States, where the productivity growth problem has been acute for some time. The book begins with a brief overview chapter that covers some of the issues involved in productivity analysis and a sample of methodological ap proaches presently in use. After this introduction, we move to Chapter 2 where Solomon Fabricant presents the issues related to measurement and analysis at the macroeconomic level. In Chapter 3, C. Lowell Harriss discusses concepts that he considers es sential for productivity growth: capital formation, technological progress, and freedom."
Knowledge Services Management looks at the transformation of the traditional workplace into a quasi-internal market environment where work activities in knowledge services are organized around clusters of similar or complementary knowledge stocks to address particular types of customer-clients priorities. The book explores a new internal market structure for these service organizations and the implications this presents for managers and scholars in the 21st century workplace. By adopting an internal market perspective, the book develops new organizational forms outside the traditional hierarchical paradigm, which is ill-suited for the emerging knowledge workplace, in order to effectively manage emerging knowledge services. The indispensable role of customer/client in the operations of these organizations is examined, as is the creation of the "Proventure Workplace", a work environment which accentuates jobs requiring rich cognitive skills for continuing innovation and creativity.
In this book we open our insights in the Theory of the Firm, obtained through the application of Optimal Control Theory, to a public of scholars and advanced students in economics and applied mathematics. We walk on the micro economic side of the street that is bordered by Theory of the Firm on one side and by Optimal Control Theory on the other, keeping the reader away from all the dead end roads we turned down during our 10 years lasting research. We focus attention on the expressiveness and variety of insights that are obtained through studying only simple models of the firm. In this book mathematics is our tool, insight in optimal corporate policy our goal. Therefore most of the mathematics and calculations is put into appendices and in the main text all attention is on modelling corporate behaviour and on analysing the results of the calculations. So, the main text focusses on micro economics, even more specific: on Theory of the Firm. In that way this book is contrasted from such famous text books in applied Optimal Control with a much broader portfolio of applications, like Feichtinger & Hartl (1986) or with a more rigorous introduction into theory, like Seierstad & Sydsaeter (1987).
Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements. The use of GST in this book is in sharp contrast to previous attempts. It addresses structural problems totally based on qualitative, non-numerical mathematics. The book lays a framework for initial efforts to investigate the potential of using formal GST to address organizational dilemmas. The text has been tested in several graduate courses. It can serve as an excellent textbook or reference for graduate level research in this field, as well as a reference for researchers in related fields.
Although IT outsourcing is nothing new, it remains surprisingly challenging for professionals. This book assists the IT professional in several areas of the outsourcing process: establishing outsourcing relationships, maintaining and managing the relationship, and finally governing outsourcing projects successfully.
Social entrepreneurship is on the rise and social enterprises are solving some of the most critical and enduring social problems by using innovative, pragmatic and sustainable business models. Access to knowledge thanks to the Internet and rapid expansion of the knowledge economy are opening new opportunities for social ventures. With knowledge-based social entrepreneurship where knowledge is the primary resource, more pressing social problems can be addressed by using advanced technologies. This book investigates this emerging concept, possibilities that it holds, its place in today's economy, and links bridges between knowledge, innovation, and social entrepreneurship. Academics, entrepreneurs, students, and NGOs will find the theoretical and practical information presented in this book extremely valuable.
This book contains substantially extended and revised versions of the best papers from the 13th International Conference on Enterprise Information Systems (ICEIS 2011), held in Beijing, China, June 8-11, 2011. The 27 papers included (plus one invited paper) in this volume were carefully reviewed and selected from 57 full papers presented at the conference (out of 402 submissions). They reflect state-of-the-art research that is often driven by real-world applications, thus successfully relating the academic with the industrial community. The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and Internet computing, and human-computer interaction."
Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.
What makes the Apple iPhone "cool"? Bang & Olufsen and
Samsung's televisions "beautiful"? Any of a wide variety of
products and services "special"? The answer is not simply
functionality or technology, for competitors' products are often as
good.
Mass Customization: Challenges and Solutions defines the parameters of the emerging business strategy, mass customization. The book will cover the main categories of the area with a systematic examination of the following themes: manufacturing systems and mass customization, supply chain management and mass customization, and information systems and mass customization. In addition to being tightly organized by themes and a carefully selected group of contributors, the Editors will write introductory material to the sections along with introductory and concluding chapters. The result is a book that provides the field with the conceptual framework of mass customization, its tools, its solutions, and real-world examples of successful implementations of the business strategy. An important book for academics working in production operations, production manufacturing, industrial engineering, logistics, supply chain management, and industry practitioners.
Back in 1983 I was chatting with Dick Coleman, publisher of Traffic World magazine, when he unexpectedly proposed that I write a column for the magazine on computer applications in the transportation/physical distribution industry. "But, Dick, I don't know all that much about computers," I protested. "You use one, don't you?" he asked logically. Yes, I did; I'd been running my consulting business with it for two years. But that didn't, I explained, make me an expert. "Think about it," he said. That's typical Coleman; he drops these studiedly casual ideas and just lets them lay there until you pick them up and wind up doing just what he wanted you to do all along. Sure enough, the longer I pondered the notion the more it appealed to me. OK, I wasn't a computer expert (I'm still not). But I was a computer user, in the transportation/distribution field; maybe from that perspective I might have some useful things to say to other transportation/distribution users and would-be users of computers. Thus was born the "Computer Software for Transportation" column. The first one appeared in the April 11, 1983, issue of Traffic World, and it's been a once-a-month schedule ever since. And thus, too, was ultimately born this book.
Modern production concepts can be considered as an essential field of economics nowadays. They help to give valuable insights and thus provide important competitive advantages. There is a broad variety of new approaches to Production Planning and Control (PPC), Just-in-Time (JIT), Flexible Manufacturing Systems (FMS), Flexible Automation (FA), Automated Guided Vehicle Systems (AGVS), Total Quality Control (TQC), and Computer Integrated Manufacturing (CIM), all of which are indispensable cornerstones in this context. This book presents in a condensed and easy-to-comprehend form the different contributions of a group of internationally recommended scientists. The varied approaches to modern production concepts are not only based on theoretical foundations but also go one step further in that they present the implementation of these concepts and methods in detail. This close link with practical aspects will help to illuminate the theoretical material for researchers and students in universities. The book will be of major importance for practitioners involved in solving everyday industrial problems. The interdisciplinary nature of these contributions will help to create a new and valuable perspective on the field of production concepts.
First book to combine financial results with proprietary benchmarking data and in-depth interviews with experienced knowledge practitioners. The resulting framework provides an inside- and outside-the-firm view of the risks and opportunities found in knowledge management and competitive intelligence.
The health of American manufacturing has been a cause of real concern during the 1980s. Foreign competition, hostile takeovers, new technologies and a host of other factors have caused dramatic changes in this key sector of the American economy. Many ob servers of this process of change are singing the "rust belt blues," consigning U.S. manufacturing greatness to the history books. In April 1986, the Center for the Study of American Business at Washington University issued a study by its director, Dr. Murray L. Weidenbaum, which challenged this perception of American manu facturing's future. The report, entitled Learning to Compete, pointed to a variety of positive developments resulting from the ad versity faced by American firms in the first half of the decade: pro ducers had improved quality and productivity, reduced costs, and in creased emphasis on R&D. In November 1988, as a logical extension of this research, the Center held a conference on American Manufacturing in the 1990s. Focusing on American responses to the changing global competitive environment, this conference brought together the practical experi ence of business professionals and the more detached views of aca demic and media experts. In a day and a half of meetings, encompassing six separate ses sions, a luncheon address and an after-dinner debate, conference participants assembled an extensive profile on the state of U.S."
A Symposium was held on February 25, 2006 in honor of the 80th birthday of Saul I. Gass and his major contributions to the field of operations research over 50 years. This volume includes articles from each of the Symposium speakers plus 16 other articles from friends, colleagues, and former students. Each contributor offers a forward-looking perspective on the future development of the field.
MICHEL GENDREAU AND PATRICE MARCOTTE As an academic, Michael Florian has always stood at the forefront of transportation research. This is reflected in the miscellaneous contributions that make the chapters of this book, which are related in some way or another to Michael's interests in both the theoretical and practical aspects of his field. These interests span the areas of Traffic Assignment, Network Equilibrium, Shortest Paths, Railroad problems, De mand models, Variational Inequalities, Intelligent Transportation Systems, etc. The contributions are briefly outlined below. BASSANINI, LA BELLA AND NASTASI determine a track pricing policy for railroad companies through the solution of a generalized Nash game. BEN-AKIVA, BIER LAIRE, KOUTSOPOULOS AND MISHALANI discuss simulation-based estimators of the interactions between supply and demand within a real-time transportation system. BOYCE, BALASUBRAMANIAM AND TIAN analyze the impact of marginal cost pricing on urban traffic in the Chicago region. BROTCORNE, DE WOLF, GENDREAU AND LABBE present a discrete model of dynamic traffic assignment where flow departure is endogenous and the First-In-First-Out condition is strictly enforced. CASCETTA AND IMP ROTA give a rigorous treatment of the problem of estimating travel demand from observed data, both in the static and dynamic cases. CRAINIC, DUFOUR, FLo RIAN AND LARIN show how to obtain path information that is consistent with the link information provided by a nonlinear multimodal model. ERLANDER derives the logit model from an efficiency principle rather than from the classical random utility approach." |
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