Stochastic Modeling and Optimization of Manufacturing by W. Henk M. Zijm (auth.), J. George Shanthikumar, David D.

By W. Henk M. Zijm (auth.), J. George Shanthikumar, David D. Yao, W. Henk M. Zijm (eds.)

This quantity originates from workshops, either targeting subject matters which are mirrored within the identify of the amount. the 1st workshop happened at Eindhoven collage of know-how, April 24-26, 2001, at the party of the collage granting a doctorate honoris causa to Profes­ sor John A. Buzacott. the second one workshop was once hung on June 15, 2002 at Cornell collage (preceding the yearly INFORMSjMSOM Confer­ ence), honoring John's retirement and his lifetime contributions. all of the workshops consisted of a few dozen technical displays. the target of the amount, even though, isn't to easily post the lawsuits of the 2 workshops. quite, our target is to place to­ gether a decide on set of articles, every one prepared right into a well-written bankruptcy, concentrating on a well timed subject. gathered right into a unmarried quantity, those chapters target to function an invaluable reference for researchers and practitioners alike, and in addition as interpreting fabrics for graduate classes or seminars.

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Extra resources for Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

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That is, to understand work flow in the plant, it was necessary to understand the flow of the tags as well as the flow of physical jobs. However, for many years after I became familiar with the Jackson model I did not recognize that the model ignored information flow and the linkage between information flow and material flow. My approach to developing this understanding was rather indirect. The domestic appliance company I worked for in 1963-64 installed a computer to control inventory (an IBM RAMAC 305) and implemented what I now recognize to have been a simplified type of Material Requirement Planning (MRP).

That is, to understand work flow in the plant, it was necessary to understand the flow of the tags as well as the flow of physical jobs. However, for many years after I became familiar with the Jackson model I did not recognize that the model ignored information flow and the linkage between information flow and material flow. My approach to developing this understanding was rather indirect. The domestic appliance company I worked for in 1963-64 installed a computer to control inventory (an IBM RAMAC 305) and implemented what I now recognize to have been a simplified type of Material Requirement Planning (MRP).

Development of reasonable approximations that preserved the distinctness of part types did not occur during the 1980's. Once such approximations became available they confirmed that if the service times of different part types are widely dissimilar then overall performance is substantially impaired. Indeed, it is often better to split up a large system processing diverse part types into smaller systems with each system Evolution of Manufacturing System Models 37 dedicated to a narrow range of similar part types.

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