5/11/2012

Production Systems Engineering Review

Production Systems Engineering
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Production Systems Engineering offers all of the tools an engineer or operations manager could want. It begins with the basics about manufacturing, and then delves into the probability concepts that make up this field.
Chapter 3 outlines the basic mathematical concepts of production systems, and, like many chapters, includes case studies based on real-world examples which help you apply and understand the concepts in various contexts.
While the book is filled with rigorous mathematics, there are charts, diagrams, and case studies to help even the novice reader understand the theory. I have applied the concepts about continuous improvement in closed-loop production lines to manufacturing systems at a Big Three automotive plant, where we verified a 7% increase in production in one line, and 11% in another line. This throughput improvement saved significant money in overtime-avoidance.
This book is definitely recommended to anyone who works in manufacturing, as the concepts will surely be able to help their company continuously improve. The best part is that anyone can use it, especially with the easy-to-use computer software that's included!

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Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design. This volume is the first ever textbook devoted exclusively to PSE. It is intended for senior undergraduate and first year graduate students interested in manufacturing. The development is first principle-based rather than recipe-based. The only prerequisite is elementary Probability Theory; however, all necessary probability facts are reviewed in an introductory chapter. Using a system-theoretic approach, this textbook provides analytical solutions for the following problems: mathematical modeling of production systems, performance analysis, constrained improvability, bottleneck identification and elimination, lean buffer design, product quality, customer demand satisfaction, transient behavior, and system-theoretic properties. Numerous case studies are presented. In addition, the so-called PSE Toolbox, which implements the algorithms developed, is described. The volume includes numerous case studies and problems for homework assignment.

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