Sequencing and cost reduction using a Knapsack formulation and dynamic programming

dc.contributor.emailjozine.botha@up.ac.zaen
dc.contributor.otherUniversity of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
dc.contributor.upauthorEicker, Albert
dc.date.accessioned2010-02-01T11:56:44Z
dc.date.available2010-02-01T11:56:44Z
dc.date.created2009-11
dc.date.issued2010-02-01T11:56:44Z
dc.descriptionThesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2009.en
dc.description.abstractThe problem of cost minimisation through sequencing different nested patterns according to priority and requirements are addressed in this project.The feasibility of scheduling these nest's cutting order as to minimise the number of sheets required as well as to reduce the total production cost in-curred, is to be determined and compared to current sequencing methods as are currently employed at Aerosud. The method that is implemented to address this problem is a dynamic programming model that incorporates a knapsack formulation at its core.en
dc.identifier.urihttp://hdl.handle.net/2263/12822
dc.languageen
dc.language.isoenen
dc.rightsCopyright: University of Pretoriaen
dc.subjectCost minimisationen
dc.subjectSeqeuncingen
dc.subjectFeasibilityen
dc.subjectKnapsack modelen
dc.subject.lcshDynamic programming
dc.subject.lcshCost control
dc.titleSequencing and cost reduction using a Knapsack formulation and dynamic programmingen
dc.typeTexten

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