Mixed Integer Programming Approach for Inventory Distribution System

dc.contributor.advisorGuta, Berhanu (PhD)
dc.contributor.authorGenene, Aster
dc.date.accessioned2021-01-21T06:40:24Z
dc.date.accessioned2023-11-04T12:31:03Z
dc.date.available2021-01-21T06:40:24Z
dc.date.available2023-11-04T12:31:03Z
dc.date.issued2020-12-12
dc.description.abstractOptimization is a mathematical problem that has many real-world applica- tions. It is used to determine minimizers or maximizers of a multi-variable real function, under a restricted domain. The thesis presented here aims in determining an optimal joint inventory with transportation proposed by [10]. These problems are characterized by the presence of both transportation and inventory considerations, either as parameters or constraints. A supply chain class which helps to determine joint transport and inventory cost does have a wide variety of advantages for both company and customer. One of the op- timization parts which is mixed integer programming is applied to nd the optimal solution to Joint Transportation-and-Inventory Problems (JTIPs) which portioning of customers as well as the route and date of delivery. Two mixed-integer programming models will be discussed: time-discretized inte- ger programming and the new approach with prede ned quantities of delivery with the date of delivery. As is shown in this thesis, the approach allows us to use a simplex method and the technique for solving mixed-integer program- ming i.e., branch and bound Method, and cutting plane method. Solution procedures are clearly illustrated based on a hypothetical applications and modi cation of the model are present in this thesis.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/24732
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectInventory Routing Problemen_US
dc.subjectMixed Integer Programming Prob- Lemen_US
dc.subjectBranch and Bound Methoden_US
dc.subjectCutting Plane Methoden_US
dc.titleMixed Integer Programming Approach for Inventory Distribution Systemen_US
dc.typeThesisen_US

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