Show simple item record

dc.contributor.authorDzupire, Nelson
dc.contributor.authorNkansah-Gyekye, Yaw
dc.contributor.authorMirau, Silas
dc.date.accessioned2023-11-20T11:20:32Z
dc.date.available2023-11-20T11:20:32Z
dc.date.issued2017-07
dc.identifier.urihttps://arxiv.org/ftp/arxiv/papers/1707/1707.04906.pdf
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/2445
dc.descriptionA research article was submitted to Mathematical Theory and Modeling Volume 4en_US
dc.description.abstractThe increase in customer expectation in terms of cost and services rendered, coupled with competitive business environment and uncertainty in cost of raw materials have posed challenges on effective supply chain engineering making it essential to do cost-benefit analysis before making final decisions on production, distribution logistics. This paper provides a conceptual model that provide guidance in supply chain decision making for business expansion. It presents a mathematical model for production-distribution of an integrated supply chain derived from current operations of SBC Tanzania Ltd which is a major supply chain that manages products' distribution in whole of Tanzania. In addition to finding the optimal cost, we also carried out a sensitivity analysis on the model so as to find ways in which the company can expand at optimal cost, while meeting customers' demands. Genetic algorithms is used to run the simulation for their efficient in solving combinatorial problems.en_US
dc.language.isoenen_US
dc.publisherIISTEen_US
dc.subjectBusiness environmenten_US
dc.subjectsupply chain engineeringen_US
dc.subjectproduction-distributionen_US
dc.subjectgenetic algorithmsen_US
dc.subjectoptimal costen_US
dc.titleModeling the SBC Tanzania Production-Distribution Logistics Networken_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record