Optimisation of Strategic Decisions Maintenance Jobshops

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dc.contributor.author KAREEM, Buliaminu
dc.date.accessioned 2026-08-03T14:52:10Z
dc.date.available 2026-08-03T14:52:10Z
dc.date.issued 2004-09
dc.identifier.uri http://196.220.128.81:8080/xmlui/handle/123456789/5980
dc.description xvi, 259p. : ill. ; 30cm en_US
dc.description.abstract The study has developed an integrated set of algorithms, heuristics and models for optimising maintenance service demand, crew Gang, maintenance tools/equipment, personnel interaction, spare parts inventory, job scheduling and costing, which are strategic in the establishment and running of a maintenance jobshop. The model was developed using an encompassing single-channel, multi-server queueing system. The developed package named Computer Aided Maintenance Strategic Decisions Optimisation and Planning (CAMSOP 2003) was validated with Akure, Osogbo, Ibadan, Ajaokuta and Lagos in Nigeria as case studies. Nonetheless, the database and structure of the software is flexible but robust enough to accommodate as many jobshops/cities as the storage capacity of the computer allows. The software always facilitates functions a comparison post-optimality analyses such as benefit-cost and sensitivity analyses were done to determine the most cost-effective rates for various service demands. en_US
dc.description.sponsorship FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, ONDO STATE, NIGERIA en_US
dc.language.iso en en_US
dc.publisher FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, ONDO STATE, NIGERIA en_US
dc.subject Plant Deterioration en_US
dc.subject Plant Failure en_US
dc.subject Crew Gang Determination en_US
dc.subject Spare Parts Planning en_US
dc.subject Communication Planning en_US
dc.title Optimisation of Strategic Decisions Maintenance Jobshops en_US
dc.type Thesis en_US


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