Beyond Lean Simulation in Practice

Lean thinking, as well as associated processes and tools, have involved into a ubiquitous perspective for improving systems particularly in the manufacturing arena. With application experience has come an understanding of the boundaries of lean capabilities and the benefits of getting beyond these b...

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Bibliographic Details
Main Author: Standridge, Charles R. (Author)
Format: Electronic eBook
Language:English
Published: [Place of publication not identified] Grand Valley State University [2013]
Edition:Second Edition
Series:Open textbook library.
Subjects:
Online Access:Access online version
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505 0 |a Beyond Lean: Process and Principles -- Simulation Modeling -- Modeling Random Quantities -- Conducting Simulation Experiments -- The Simulation Engine -- A Single Workstation -- Serial Systems -- Job Shops -- Inventory Organization and Control -- Inventory Control Using Kanbans -- Cellular Manufacturing Operations -- Flexible Manufacturing Systems -- Automated Inventory Management -- Transportation and Delivery -- Integrated Supply Chains -- Distribution Centers and Conveyors -- Automated Guided Vehicle Systems -- Automated Storage and Retrieval 
520 0 |a Lean thinking, as well as associated processes and tools, have involved into a ubiquitous perspective for improving systems particularly in the manufacturing arena. With application experience has come an understanding of the boundaries of lean capabilities and the benefits of getting beyond these boundaries to further improve performance. Discrete event simulation is recognized as one beyond-the-boundaries of lean technique. Thus, the fundamental goal of this text is to show how discrete event simulation can be used in addition to lean thinking to achieve greater benefits in system improvement than with lean alone. Realizing this goal requires learning the problems that simulation solves as well as the methods required to solve them. The problems that simulation solves are captured in a collection of case studies. These studies serve as metaphors for industrial problems that are commonly addressed using lean and simulation. 
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