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The mathematical models of productivity theory allows for the productivity rate of manufacturing machines and systems to be modelled with results that are validated by their actual output. This book presents the analytical approaches and methods to define maximal productivity rate of manufacturing machines and systems, based on the parameters of technological processes, structural design, reliability of mechanisms, and management systems.
Work Organization and Methods Engineering for Productivity provides an introduction to, and practical advice on, assessing methods of working to achieve maximum output and efficiency. The main focus of the book is on the 'work study', which helps to increase the productivity of men, machines and materials. We are currently seeing a lot of disruptive advancement in industrial operations caused by technologies, including artificial intelligence and IoT. Against this technological backdrop, and with ever increasing focus on value, the fundamental understanding of how to analyze and organize the workplace for productivity is more important than ever. Case studies and illustrations throughout make this book a much have for managers with responsibility for production and planning in industry. - Helps the reader understand the fundamental factors affecting productivity, along with their relevance to work organization - Includes valuable industry case studies from sectors including manufacturing, textile production and sea port operations - Includes several formats and charts that are important in the recording of data for practical work studies
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A guide to combining two powerful management techniques totransform any business organization into a masterpiece of businessefficiency. Lester Dean Thurow, Dean of MIT's Sloan School ofManagement, recently stated that benchmarking combined with processengineering will be the most important management technique of the1990s. Now, in this groundbreaking book, Gregory Watson describeshow top corporations worldwide have already successfullyimplemented that powerful cutting-edge technique--which he calls"business systems engineering"--to promote continuous improvement.More importantly, he clearly demonstrates how you can do the samein your organization. * Introduces business systems engineering, a dynamic new approachto rethinking and redesigning business processes to achievedramatic improvements in quality, cost, service, speed, andmore * Offers clear guidelines for using business systems engineeringtechniques to make your organization more dynamic, productive, andable to adapt to change in today's global marketplace * Incorporates key aspects of TQM, business process improvement,policy deployment, industrial engineering, teamwork, problemsolving, and information technology into one holistic system * Includes business systems engineering success stories, includingthose at Compaq, United Services Automobile Association andMotorola, as well as a survey of the effect of systems changeacross the global automobile industry
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.
In companies that produce goods and services, productivity and efficiency improvements are a constant challenge. This book reviews the differences between productivity and efficiency. It proposes a new method and makes available a computational tool for implementation that contributes to facilitating the use of Data Envelopment Analysis (DEA). The book presents a discussion about productivity and efficiency, illustrating the potentials of use and conceptual differences. It covers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations, explains in detail how to use DEA for analysis, provides innovative methods for using DEA, offers a free online computer tool with a direction guide, shows real empirical applications, and covers other techniques that can be used to complement the analysis performed. The book is for professionals, managers, consultants, students working and taking courses in productive systems of goods and services. Ancillary materials include a free online computer tool to operationalize the concepts and methods proposed in the book, a guide on how to use the method and the software developed for the DEA application. Solutions manual, instructor’s manual, PowerPoint slides, and figure slides also will be available upon qualified adoption.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.