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|Title:||The use of dynamic networks in scheduling flexible manufacturing systems|
|Author(s):||Kroll, Dennis Edwards|
|Doctoral Committee Chair(s):||Kumar, K. Ravi|
|Department / Program:||Business Administration, General
|Discipline:||Business Administration, General
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|Subject(s):||Business Administration, General
|Abstract:||Flexible Manufacturing Systems have developed recently to allow companies to compete in a global market. One problem arising from such systems is the optimal scheduling of the jobs through the system. There is much discussion as to what this problem should be, but it is agreed that it is a hard problem.
This thesis deals with the scheduling problem as defined by Stecke as problems concerning the running of an FMS once it has been set up during a planning phase. Numerous techniques have been proposed to solve this problem.
If the problem is static, various queueing models may be used. However, in a dynamic environment these models fail. Mathematical programming models allow for the dynamic environment, but rapidly increase in calculation requirements due to the need for integer answers. Simulation, hierarchical, and expert systems try to address this problem, but don't allow for optimal solutions.
The use of a dynamic network model had been considered in the past, but rejected for various reasons. The thrust of this thesis is that these networks can be used and are a computationally feasible technique for finding optimal solutions to the FMS scheduling problem. In order to develop this concept, the basic dynamic network models originally proposed by Maxwell & Wilson needed to be expanded and modified.
By incorporating the concepts of limited entry queues and micromodels of resources, a dynamic network model of an FMS can be developed and solved by efficient network flow techniques.
|Rights Information:||Copyright 1989 Kroll, Dennis Edwards|
|Date Available in IDEALS:||2011-05-07|
|Identifier in Online Catalog:||AAI9010923|
This item appears in the following Collection(s)
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois
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