Methodologies for manufacturing system selection and for planning and operation of a flexible manufacturing system

Simple item page
dc.contributor.authorChen, Chin-Shengen
dc.contributor.committeechairSarin, Subhash C.en
dc.contributor.committeememberFabrycky, Wolter J.en
dc.contributor.committeememberGreene, Timothy J.en
dc.contributor.committeememberHuang, Philip Y.en
dc.contributor.committeememberMalmborg, Charles J.en
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2015-07-09T20:43:24Zen
dc.date.available2015-07-09T20:43:24Zen
dc.date.issued1985en
dc.description.abstractA hierarchical methodology is developed for the overall design of manufacturing systems. The methodology consists of solutions to four levels of problems, namely, (1) manufacturing system selection, (2) shop loading, (3) machine loading and tool allocation, and (4) testing the feasibility of a schedule and determining strategies for the operational control of the system. Although these problem levels are developed in a hierarchical sense, they can be applied independently by assuming appropriate inputs to the problem level under consideration. The third and the fourth level problems are addressed in this research for the flexible manufacturing system. The first level of the hierarchical methodology addresses the problem of manufacturing system selection. The mathematical 4 model formulated for this problem captures the basic and integrated relationships among the systems and system components. This model provides a practical approach and a precise tool to determine an optimal mix of systems, to assign appropriate machines to each system, and to select the best material handling system for each system to best suit long-term production requirements at minimum costs. The second level of the hierarchical methodology addresses the shop loading problem. A mathematical model is developed for partitioning parts among the manufacturing systems selected at the first level to minimize total operating costs. For the third level problem, a mathematical model is formulated to obtain routings of parts through an FMS and to assign appropriate cutting tools to each machine in the system to minimize total machining cost. For the fourth level problem, a simulation model is developed for testing the feasibility of the solution obtained at the third level. It also helps to determine strategies for the operational control of the system. The computational experience with the mathematical models is presented using the MPSX-MIP/370 package. Sensitivity analysis is also performed to further understand system behavior under various operating conditions. Several new findings of the research are reported. Because of the special structure of the mathematical models, a computational refinement for their solution is also proposed based on Lagrangian relaxation.en
dc.description.degreePh. D.en
dc.format.extentx, 281 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/54242en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 13140403en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1985.C536en
dc.subject.lcshFlexible manufacturing systems -- Designen
dc.subject.lcshFlexible manufacturing systems -- Mathematical modelsen
dc.subject.lcshProduction schedulingen
dc.titleMethodologies for manufacturing system selection and for planning and operation of a flexible manufacturing systemen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LD5655.V856_1985.C536.pdf
Size:
8.19 MB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations