![]() |
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
||
|
Books > Business & Economics > Business & management > Management of specific areas > General
It has been observed that the studies of quality are pursued in various disciplines like economics, quality management, and marketing science, and are seen isolated. The treatments imparted to these studies are also different and has the backdrop of discipline in which the work has been pursued. The nature of isolation is equally seen when quality uncertainty and perceived quality were pursued separately without showing any inkling that these can be complimentary. Economist and Nobel Laureate, Akerlof (1970), wrote a seminal piece "The market for lemons: quality uncertainty and market mechanism," where he described quality uncertainty due to information asymmetry. It refers to the fact that a party in a transaction may have more information than the other. This is information asymmetry. If the seller has more information than the buyer about the product quality, he/she may sell it, as if it is a high-quality product. In reality, it could be a low-quality product. The buyer does not have the information regarding the quality of the offered product. The market condition that led to this transaction is quality uncertainty due to information asymmetry.
Basically five problems areas are addressed by operations research specialists in the manufacturing domain: theore- tical and practical aspectsin production planning, facility layout, inventory control, tool management and scheduling. Some of these problems can be solved off-line, while others must be treated as real-time problems impacted by the changing state of the system. Additionally, all of these problems have to be dealt with in an integrated systems framework. Several new topics have recently appeared in the scientific literature which now attract the interest of operations researchers. These include distributed real-time scheduling, hierarchical and heterarchical control systems, integrated algorithms for design, process planning, and equipment level programming, material handling in a finite capacity resource environment, and designing and implementing distributed data management systems. The contributions of these proceedings represent new andunique theoretical developments and applications related to these new topics. They deal with modelling production structures and applying expert systems or neural networks to production systems. Mathematical programming, control theory, simulation, genetic algorithms, tabu search, and simulated annealing are applied as solutiton techniques.
One of the most important tasks faced by decision-makers in
business and government is that of selection. Selection problems
are challenging in that they require the balancing of multiple,
often conflicting, criteria. In recent years, a number of
interesting decision aids have become available to assist in such
decisions.
The purpose of this book is to discuss the state of the art and future trends in the field of computerized production management systems. It is composed of a number of independent papers, each presented in a chapter. Some of the widely recognized experts in the field around the world have been asked to contribute. lowe each of them my sincere gratitude for their kind cooperation. I am also grateful to Peter Falster and Jim Browne for their kind support in helping me to review topics to be covered and to select the authors. This book is a result of the professional work done in the International Federation of Information Processing Technical Committee IFIP TC5 "Com puter Applications in Technology" and especially in the Working Group WG5. 7 "Computer-Aided Production Management." This group was established in 1978 with the aim of promoting and encouraging the advancement of the field of computer systems for the production management of manufacturing, off shore, construction, electronic and similar and related industries. The scope of the work includes, but is not limited to, the following topics: 1) design and implementation of new production planning and control systems taking into account new technology and management philosophy; 2) CAPM in a CIM environment including interfaces to CAD and CAM; 3) project management and cost engineering; 4) knowledge engineering in CAPM; 5) CAPM for Flexible Manufacturing Systems (FMS) and Flexible Assembly Systems (F AS); 6) methods and concepts in CAPM; 7) economic and social implications of CAPM."
The mathematical science of facility locating has attracted much attention in d- crete and continuous optimization over nearly last four decades. Investigators have focused on both algorithms and formulations in diverse settings in both the private sectors (e.g., industrial plants, banks, retail facilities, etc.) and the public sectors (e.g., hospitals, post stations, etc.). Facility location problems locate a set of facilities (resources) to minimize the cost ofsatisfying someset ofdemands(ofthecustomers)with respectto some set of constraints. Facility location decisions are critical elements in strategic planning for awiderangeofprivateandpublic?rms.Thebranchesoflocatingfacilities arebroad and long-lasting, in?uencing numerous operational and logistical decisions. High costs associated with property acquisition and facility construction make facility location or relocation projects long-term investments. Decision makers must select sites that will not only perform well according to the current system state, but also willcontinuetobepro?tableforthefacility'slifetime, evenas environmentalfactors change, populationsshift, andmarkettrendsevolve.Findingrobustfacilitylocations is thus a dif?cult task, demanding decision makers to account for uncertain future events. Locationscience is an areaof analyticalstudythat can be tracedbackto Pierrede Fermat, Evagelistica Torricelli (a student of Galileo), and Battista Cavallieri. Each one independently proposed (and some say solved) the basic Euclidean spatial - dian problem early in the seventeenth century.
On the verge of the global information society, enterprises are competing for markets that are becoming global and driven by customer demand, and where growing specialisation is pushing them to focus on core competencies and look for partnerships to provide products and services. Simultaneously the public demands environmentally sustainable industries and urges manufacturers to mind the whole life span of their products and production resources. Information infrastructure systems are anticipated to offer services enabling and catalyzing the strategies of manufacturing companies responding to these challenges: they support the formation of extended enterprises, the mastering of full product and process life cycles, and the digitalization of the development process. Information infrastructure systems would accommodate access to and transformation of information as required by the various authorized stakeholders involved in the life phases of products or production resources. Services should be available to select and present all relevant information for situations involving any kind of players, during any life phase of a product or artifact, at any moment and at any place.
Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals and students. Fundamentals of Operational Risk Management outlines how to implement a sound operational risk management framework which is embedded in day-to-day business activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores the importance of risk appetite and tolerance. With case studies of major operational risk events to illustrate each concept, this book demonstrates the value of ORM and how it fits with other types of risk management. There is also guidance on the regulatory treatment of operational risk and the importance of risk culture in any organization. Master the essentials and improve the practice of operational risk management with this comprehensive guide.
The usual view in a mixed economy is that some goods and services are produced privately and some, such as transportation, are produced publicly. Private institutions, such as households and entrepreneurs, produce and con sume goods and services in pursuing their parochial interests, while the pub lic sector attempts to broaden public interests. More precisely, the public sector constructs new transportation systems, improves their capaci ties, and regulates services and prices; and the private sector chooses locations of pro duction, modes of transportation, and routes of shipmellt. At the sallie' Lillte'. all forms of transportation influence our lives and cause us concern for Oll r environment, health, and safety. Thus, transportation is intimately woven into the daily life of individuals and organizations in our society. Because of its constant presence, transportation is easy to overlook until it fails in some way. Few would contend that private firms could or should construct an effi cient transportation system in a mixed economic system. Because the entire transportation system must be integrated and coordinated, firms with the power to construct such a system would have considerable monopoly control."
Many of those interested in the effect of industry on contemporary life are also interested in Frederick W. Taylor and his work. He was a true character, the stuff of legends, enormously influential and quintessentially American, an award-winning sportsman and mechanical tinkerer as well as a moralizing rationalist and early scientist. But he was also intensely modem, one of the long line of American social reformers exploiting the freedom to present an idiosyncratic version of American democracy, in this case one that began in the industrial workplace. Such as wide net captures an amazing range of critics and questioners as well as supporters. So much is puzzling, ambiguous, unexplained and even secret about Taylor's life that there will be plenty of scope for re-examination, re-interpretation and disagreement for years to come. But there is a surge of fresh interest and new analyses have appeared in recent years (e. g. Wrege, C. & R. Greenwood, 1991 "F. W. Taylor: The father of scientific management," Business One Irwin, Homewood IL; Nelson, D. (Ed. ) 1992 "The mental revolution: Scientific management since Taylor," Ohio State University Press, Columbus OH). We know other books are under way. As is customary, we offer this additional volume respectfully to our academic and managerial colleagues, from whatever point of view they approach scientific management, in the hope that it will provoke fresh thought and discussion. But we have a more aggressive agenda.
This volume is concerned with the nature of new manufacturing technologies, such as CAD/CAM and robotics, as well as ap propriate methodologies for evaluating whether such technologies are financially and organizationally viable in particular contexts. The chapters included here were commissioned as papers for presen tation at The Wharton Conference on Productivity, Technology, and Organizational Innovation, which took place in Philadelphia on December 8 and 9 of 1983. The conference was sponsored by The University of Pennsylvania's Center for the Study of Organizational Innovation. There has been a surge of interest in the area of manufacturing over the past ten years as managers have come to realize that the operations function is critical to remaining competitive. New status has been given to factory and operations managers. New programs revitalizing manufacturing and distribution have been introduced in organizations. Corporate strategy is now explicitly considering operations and manufacturing functions. And the curricula of leading business schools are reflecting the rapidly advancing research on technology management and manufacturing operations. In spite of these important signs of progress, we are clearly just at the beginning of understanding the issues involved here. The present volume provides a state-of-the-art review of the realities of technology management and manufacturing strategy. As described in the Editor's Introduction, we address four topics: The Nature of New Manufacturing Technology, Innovation and Manufacturing Strategy, Productivity Management, and Technology Management and Organ ization. These issues are clearly very important themes for U.S."
If one accepts the premise that there is no wealth without production, whether at the individual or national level, one is immediately led to the conclusion that the study of productive systems lies at the forefront of subjects that should be intensively, as well as rationally and extensively, studied to achieve the desired 'sustainable growth' of society, where the latter is defined as growth in the quality of life that does not waste the available resources in the long run. Since the end of World War II there has been a remarkable evolution in thinking about production, abetted to a large measure by the nascent field of informatics: the computer technology and the edifices that have been built around it, such as information gathering and dissemination worldwide through communication networks, software products, peripheral interfaces, etc. Additionally, the very thought processes that guide and motivate studies in production have undergone fundamental changes which verge on being revolutionary, thanks to developments in operations research and cybernetics.
The basic notion underlying this monograph - budget or revenue constrained models of production - we owe to Ronald W. Shephard, who recognized its fundamental importance in modeling behavior in a wide variety of settings including the service and public sector. Our endeavor here is to extend Shephard's earlier work in several directions while maintaining his axiomatic approach. Our contributions include an expanded set of duality results and a general bent toward empirical implementation: including various parameterizations, applications to efficiency and productivity measurement, and shadow pricing. We hope to provide those engaged in empirical work with some powerful and useful tools which have received relatively little attention. The nature of the material in this monograph is somewhat technical, however, the level of mathematical difficulty is standard. Although we have tried to keep the monograph fairly self-contained, we have also kept technical detail to a minimum in the body of the text. Many technical extensions appear as problems at the ends of Chapters. The reader is also referred to the notes at the end of each chapter for references to additional literature. A prepublication draft of this manuscript was used as lecture notes in a graduate course in production theory at the Department of Economics at Bilkent University. We thank our students as well as faculty members for their patience and interest. Special thanks go to Dean Togan, Zeynap Koksal and Ali Dogramaci for making our stay in Ankara not only productive, but also enjoyable.
Direct Engineering (DE) is the creation of a product development cycle into a single, unified process. The design process in most industries is an evolutionary one (i.e., incremental changes to some existing design). DE is a manufacturing process that seeks to improve the design processes by providing complete archival documentation of existing designs. It uses three-dimensional geometric models with integrated manufacturing information throughout the design process. DE reduces the design cycle, and the variety and number of engineering changes. This process decreases the design cycle time, increases productivity, and provides a higher quality product. The required technologies and methodologies that will support the development of the DE environment are: (1) product representation using feature-based modeling; (2) knowledge-based applications that will support the entire product development cycle; (3) an engineering environment implemented around distributed computing and object-oriented systems; (4) direct manufacturing techniques using rapid prototyping. Direct Engineering: Toward Intelligent Manufacturing addresses the following recent topics related to the development, implementation, and integration of the DE environment: (1) the current scope of the research in intelligent manufacturing; (2) the results of the technologies and tools developed for integrated product and process designs, and (3) examination of the methodologies and algorithms used for the implementation of direct engineering.
Internet Studies has been one of the most dynamic and rapidly
expanding interdisciplinary fields to emerge over the last decade.
The Oxford Handbook of Internet Studies has been designed to
provide a valuable resource for academics and students in this
area, bringing together leading scholarly perspectives on how the
Internet has been studied and how the research agenda should be
pursued in the future. The Handbook aims to focus on Internet
Studies as an emerging field, each chapter seeking to provide a
synthesis and critical assessment of the research in a particular
area. Topics covered include social perspectives on the technology
of the Internet, its role in everyday life and work, implications
for communication, power, and influence, and the governance and
regulation of the Internet.
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries
How do you create world-class educational institutions that are academically rigorous and vocationally relevant? Are business schools the blueprint for institutions of the future, oran educational experiment gone wrong? This is thefirst title in a new series from IE Business School, IE Business Publishing .
Over the last 30 years, corporate social responsibility (CSR) has become a household term, reflecting a combination of factors that we have come to associate with that most catch-all of terms "globalization," including the widespread popular concern with such social issues as the environment and international human rights. Corporate Social Responsibility examines the history of the idea of business ethics (which goes back at least to ancient Mesopotamia) before exploring the state of CSR today. This book argues that a wide-ranging understanding of the purpose of business is necessary to create value for a community of stakeholders which in turn can generate a sustainable future. The book suggests that corporations still have a long way to go, but remains optimistic. The book's sanguine interpretation of the current state of corporate affairs and a recommended way forward, results not only from the authors analysis, but also his direct experience. This book presents the case that we are in the midst of a major paradigm shift in our understanding of the purpose of business and that this new understanding holds much promise for business being a significant force for a more just and peaceful world. This work provides a concise overview of CSR and an important examination of the present and future work of the UN Global Compact and will be of interest to students of international organizations, international business and corporate social responsibility.
Technological change has been recognized as the major contributor to economic growth and has become one of the most important challenges to policy makers and managers. Many excellent books and papers have been written on the subject. Most of these deal with the macro or micro economic impact of technological change or the technological change process from invention and discovery to innovation, development, and final maturity as well as ultimate obsolescence of technology. This book is designed to present technological change as a decision process and explain the use of recently developed methods for the effective management of technological change. In particular, techniques for the effective choice among technological alternatives, timing of the introduction of new technology both in terms of its own status and that of the technology to be replaced if any, and the rate and method of introduction of new technology are presented. Management of technology is a complex decision process which is affected by both internal and external factors. The purpose of this book is to instruct the reader in effective technology deciSion making which involves the evaluation of the status of technology in use if any, the problem to be solved or output to be obtained, determination of environmental and internal constraints, and the competitive environment or market conditions which affect the technology decisions.
The integration of manufacturing constraints and their optImIzation within the design process of mechanical products and systems are now an industrial priority. Following the first two IDMME conferences in Nantes in 1996 and Compiegne in 1998, the purpose of the IDMME'2000 conference was to present recent developments in these areas and new areas within the product and process development theme. The original initiative of the conference is mainly due to the efforts of the French AIP-PRIMECA group (Pool of Computer Resources for Mechanics). The organizing committee and the local organizing institutions (Concordia University, Ecole Poly technique de Montreal, and McGill University) contributed to the success of the conference. The presentation of 190 papers and the presence of more than 225 researchers coming from more than 20 countries demonstrate the success of the initiative. This book contains 57 of these papers selected by an International Scientific Committee: Chairman: C. Fortin (Canada) Co-chairmen: P. Chedmail (France), G. Cognet (France), C. Mascle (Canada), J. Pegna (Canada) J. Angeles (Canada) P. Martin (France) J. L. Batoz (France) C. McMahon (U. K. ) J. C. Bocquet (France) M. Mantyla (Finland) A. - Bernard (France) J. L. Maxwell (USA) P. Bourdet (France) N. M. Patrikalakis (USA) A Clement (France) J. P. Pelle (France) D. Cochran (USA) B. Peseux (France) D. Coutellier (France) D. Play (France) A- Dalsky (Russia) M. Pratt (USA) D. A. Dornfeld (USA) B. Ravani (USA) D. Deneux (France) A. Riviere (France) G. Gogu (France) C.
Introduction to Intelligent Simulation of Complex Discrete Systems and Processes: RAO Language focuses on a unique approach in modeling and simulation of complex systems. In this volume are considered features of complex systems and processes, their mathematical description, and modeling. Theoretical foundations of the RAO (Resource-Action-Operation) language as well as its syntax and utilisation are given. Examples of simulation models of different complexity levels, related to different fields, are also presented. The RAO intelligent modeling system, introduced and described in Introduction to Intelligent Simulation of Complex Discrete Systems and Processes is unique because: (1) it makes simulation modeling universal for the classes of systems and processes modeled; (2) it is simple to modify the models; and (3) it has the capacity to model complex control systems together with the object controlled (including simulation modeling for on-line control). The RAO tool allows the user to use a language very similar to his professional language and rids him of intermediary, supplementary description of the system modeled. In fifteen chapters this volume provides an overview of general modeling trends, and hence serves the research community in guiding their modeling methods; intelligent simulation modeling is introduced to solve complex systems and processes.
The aim of this book is to provide a better understanding with as to how to coordinate and improve decisions about product life cycle, process and supply chain design to improve new product development. The conclusions are based upon original research of supply chain management and new product development in numerous industries.
Conquering Global Markets offers assessments of the issues, statistics, cases, and best practices of mergers, acquisitions, joint ventures and alliances throughout the world. Using information gleaned interviews with CEOs, the book provides insights into making global M&As successful.
Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture. Optimal Inventory Modeling of Systems is the first book to take the system approach to inventory modeling. The result has been dramatic reductions in the resources to operate many systems - fleets of aircraft, ships, telecommunications networks, electric utilities, and the space station. Although only four chapters and appendices are totally new in this edition, extensive revisions have been made in all chapters, adding numerous worked-out examples. Many new applications have been added including commercial airlines, experience gained during Desert Storm, and adoption of the Windows interface as a standard for personal computer models.
Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines.
Furthermore, if the effects of regulations on user costs are excluded, it is impossible to analyze monetary policy effects. Chapter 2 examines the principal areas of regulation that affect user costs. For example, reserve requirements, as administered by the Federal Reserve, act as a tax on financial firms so covered. Required reserves earn no return to the financial firm and there is foregone revenue. Deposit insurance increases the user cost of servicing deposits to the banks. Interest rate regulations place limits on interest rates on time de posits, or prohibit payments on demand deposits during part of the period studied. Underlying all these are the open market operations of the Federal Reserve, and their effects on interest rates and the quantities of financial goods. Chapter 2 reveals that previous work on the estimation of bank tech nologies is incomplete, and that the regulations require modelling as a part of the profit maximizing structure. 1.3 User Cost Derivation Chapter 3 discusses the construction of user costs. These are derived for the services from all assets or liabilities on a bank balance sheet or appearing on the income statement. The user cost formulation permits goods to be classified as outputs and inputs. Those with a positive user cost, where expenditures per unit exceed revenues per unit, are inputs. The unit for financial goods such as loans or deposits is one dollar per period. Goods with a negative user cost, with expenditures falling below revenue per unit, are outputs." |
You may like...
Leadership In Health Services Management
Karien Jooste, Siedine Coetzee
Paperback
Marketing Analytics - Essential Tools…
Rajkumar Venkatesan, Paul W. Farris, …
Hardcover
Business Management By Portfolio - An…
Louis Botha, Tersia Botha
Paperback
(1)
Management Principles - A Contemporary…
T. Botha, M. Vrba, …
Paperback
The Book Every Leader Needs To Read…
Abed Tau, Adriaan Groenewald, …
Paperback
Contextual Process Digitalization
Albert Fleischmann, Stefan Oppl, …
Hardcover
R1,438
Discovery Miles 14 380
|