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"The aim of this book is to cover various aspects of the Production and Operations Analysis. Apart from the introduction to basic understanding of each topic, the book also provides insights to various conventional techniques as well as, various other mathematical and nature-based techniques extracted from the existing literature. Concepts like smart factories, intelligent manufacturing, and various techniques of manufacturing are also included. Various types of numerical examples are presented in each chapter and the descriptions done in lucid style with figures, point-wise descriptions, tables, pictures to facilitate easy understanding of the subject"--
This text provides a survey of the analytical methods used to support the functions of production and operations management. This latest edition continues to bring the most thorough coverage of cutting-edge quantitative models used in operations, while presenting it in a clean, easy to understand fashion. There are many new problems both solved and unsolved for students to comprehend the quantitative material of the book. Furthermore, we have enhanced the technology package of this book to have more applied learning of concepts and skills for students. Lastly, technology, such as the internet, ecommerce, etc has been added to reflect the changes in how business is conducted. This text reflects Steve Nahmias' extensive teaching background and experience in both business and engineering schools. .
Market_Desc: Management consultants and production control professionals in discrete parts manufacturing (both electronics and mechanical parts industries) Special Features: · Multi-level inventory material· Organized by topic and chronologically.· Covers supply chain integration issues within plant models About The Book: This book covers the design and improvement of single and multistage production systems. Following the standard production planning and scheduling decision hierarchy, it describes the inputs and outputs at each level of the decision hierarchy and one or more decision approaches. The assumptions leading to each approach are included along with the details of the model and the corresponding solution. Modern system concepts and the engineering methods for creating lean production systems are included.
Manufacturing models - Assembly lines : reliable serial systems - Transfer lines and general serial systems - Shop scheduling with many products - Flexible manufacturing systems - Machine setup and operation sequencing - Material handling systems - Warehousing : storage and retrieval systems - General manufacturing systems : analytical queueing models - General manufacturing systems : empirical simulation models.
This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
Nahmias and Olsen skillfully blend comprehensive coverage of topics with careful integration of mathematics. The authors’ decades of experience in the field contributed to the success of previous editions; the eighth edition continues the long tradition of excellence. Clearly written, reasonably priced, with an abundance of expertly formulated practice problems and updated examples, this textbook is essential reading for analyzing and improving all facets of operations. Some of the material in the newest edition has been reorganized. For example, the first chapter introduces service strategy, the product/process matrix and flexible manufacturing systems, benchmarking, the productivity frontier, the innovation curve, and lean production as a strategy. The focus is slightly more international. The analysis of capacity growth planning now appears in the chapter on supply chain analytics. Aggregate planning details were added to chapter 3, including chase and level strategies in an appendix to the chapter. There is an expanded discussion on risk pooling in the chapter on supply chain strategy. The mechanics behind lean production are included in the chapter on push and pull production systems. The chapter on quality and assurance downplays sampling in favor of discussions of quality management, process capability, and the waste elimination side of lean. The separate chapter on facilities layout and location was eliminated and the information redistributed throughout the text. The authors reinforce the learning process through key points at the beginning of each chapter to guide the reader, snapshots that provide useful examples of applications to businesses, and historical notes that provide a context for the topics discussed. Production and Operations Analytics, 8/e provides the tools for adapting to the dynamic global marketplace.
The objective of the book is to acquaint the reader with the use of queueing theory in the analysis of manufacturing systems.
The primary purpose of systems engineering is to organize information and knowledge to assist those who manage, direct, and control the planning, development, production, and operation of the systems necessary to accomplish a given mission. However, this purpose can be compromised or defeated if information production and organization becomes an end unto itself. Systems engineering was developed to help resolve the engineering problems that are encountered when attempting to develop and implement large and complex engineering projects. It depends upon integrated program planning and development, disciplined and consistent allocation and control of design and development requirements and functions, and systems analysis. The key thesis of this report is that proper application of systems analysis and systems engineering will improve the management of tank wastes at the Hanford Site significantly, thereby leading to reduced life cycle costs for remediation and more effective risk reduction. The committee recognizes that evidence for cost savings from application of systems engineering has not been demonstrated yet.