Practical, up-to-date coverage for a new generation of engineering and management professionals. Lawrence S. Aft s Productivity, Measurement, and Improvement has long served as a seminal reference for students and professionals in industrial engineering, quality management, and other related fields. Now Work Measurement and Methods Improvement brings his work right up to date with the demands of today s rapidly changing marketplace, where work measurement and methods improvement have a vital role to play in improving quality and enhancing productivity in a wide range of industries. Accessible and easy to follow, this book presents solid, practical coverage of the key principles and practices of work measurement. It explains the purpose, use, advantages, and limitations of tools and methods for: * Work analysis including graphical productivity analysis and work methods improvement * Product measurement from time study and standard data systems to work sampling and labor reporting issues * Product improvement ergonomics, incentive systems, continuous improvement, process improvement, and more With straightforward examples, chapter-end summaries, review questions, and practice exercises that emphasize the application of fundamental concepts, Work Measurement and Methods Improvement is an essential reference for current and future professionals who must do the work and manage the process to achieve better quality, higher productivity, and powerhouse performance for their organization.

Divided into two major areas of discussion - work systems, and work methods, measurement, and management - this guide provides up-to-date, quantitative coverage of work systems and how work is analyzed and designed. Includes 30 chapters organized into six parts: Work Systems and How They Work; Methods Engineering and Layout Planning; Time Study and Work Measurement; New Approaches in Process Improvement and Work Management; Ergonomics and Human Factors in the Workplace, and Traditional Topics in Work Management. Addresses the "systems" by which work is accomplished, such as worker-machine systems, manufacturing cells, assembly lines, projects, and office work pools. Summarizes many aspects of work systems, operations analysis, and work measurement using mathematical equations and quantitative examples. For professionals in the area of industrial engineering.

This book is an essential supplement for MOST (Maynard Operation Sequence Technique) certification training. An excellent resource for practicing professionals and newcomers in the fields of industrial engineering and management, it provides a detailed explanation of each of the three MOST Systems. This edition is updated with relevant examples using today’s technology to develop engineered standards. Content includes refreshed charts and guidelines to selecting a MOST System and completing a MOST analysis based on the application rules for BasicMOST, MiniMOST and MaxiMOST. A new informative chapter highlights the use of standards to improve workforce performance and increase productivity. A must for MOST certification for engineers, productivity improvement specialists, staffing, and costing professionals. Certification training can be completed online and worldwide through authorized partners.

This book emphasizes the need to ask critical questions before implementing tools and their integration into the many applications in which industrial engineers work. This use of critical thinking will minimize the likelihood of mistakes that can result in the wasting of finite resources and the possible loss of life. Included in this book are examples, both successful and unsuccessful, for each of the functions on which industrial engineers focus. These examples include the critical questions that were asked that resulted in success and those questions that were not asked that resulted in failure. Integration of Methods Improvement and Measurement into Industrial Engineering Functions is applicable to students, new graduates, and practitioners in the areas of industrial engineering, human factors, materials processing, quality control, asset management, production control, and supply chain management, as well as those concerned with safety issues.