Production and Operations Analysis, Seventh Edition
Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 11.7, Problem 23P

A.

Summary Introduction

Interpretation: The possible contribution of ‘queuing theory’ for designing and/or controlling flexible manufacturing systems is to be discussed.

Concept Introduction:A flexible manufacturing system (FMS), as the name indicates, has a high degree of flexibility to quickly adapt to changing patterns of manufacturing so as to be able to produce a large variety of dis-similar items.Such systems, normally, consist of many computer controlled equipment which can be quickly reprogrammed for changes.

A queue is formed wherever there is a set of service providers and a set of service receivers−whether human or machine. Whatever are the rate of arrival of the service receivers and the servicing rate of the providers; sooner or later there will be either a queue of receivers or there will be unutilized providers. This concept has been researched mathematically to develop algorithms for various situations.

B.

Summary Introduction

Interpretation:the possible contribution of ‘simulation’for designing and/or controlling flexible manufacturing systems are to be discussed.

Concept Introduction:A flexible manufacturing system (FMS), as the name indicates, has a high degree of flexibility to quickly adapt to changing patterns of manufacturing so as to be able to produce a large variety of dis-similar items.Such systems, normally, consist of many computer controlled equipment which can be quickly reprogrammed for changes.

Simulation means making an almost similar model (an attempted copy) of any product/process and to try it out several times to verify that the performance meets or shall met expectations. Computer applications enable large number of simulations in a very short time. This is mostly based on probability and statistical theories.

C.

Summary Introduction

Interpretation: the possible contribution of ‘mathematical programming’for designing and/or controlling flexible manufacturing systems are to be discussed.

Concept Introduction: A flexible manufacturing system (FMS), as the name indicates, has a high degree of flexibility to quickly adapt to changing patterns of manufacturing so as to be able to produce a large variety of dis-similar items. Such systems, normally, consist of many computer controlled equipment which can be quickly reprogrammed for changes.

Programming is what prepares/schedules a computer for work. Mathematical programming involves use of optimizing models with high degree of mathematics. It provides a calculated analysis of the decisions likely to be taken by managers.

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Students have asked these similar questions
With which decisions related to FMS design or control can the following methodsassist? Also, briefly describe how each method would be used.a. Queuing theory
Provide instead: 3 Positive and 3 negative outcomes for forecasting 3 Positive and 3 negative outcomes for queuing model
In short, define three cases in which the first-in, first-out (FIFO) concept in queuing analytics is not valid.
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