Transshipment Vehicle Routing with Drop/Pickup and Volume Feasibility for Cross Filling

DC Field Value Language
dc.contributor.advisorSuk-Chul Rim-
dc.contributor.authorVU THI THANH HANG-
dc.date.accessioned2022-11-29T02:32:32Z-
dc.date.available2022-11-29T02:32:32Z-
dc.date.issued2021-02-
dc.identifier.other30619-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/20073-
dc.description학위논문(석사)--아주대학교 일반대학원 :산업공학과,2021. 2-
dc.description.tableofcontents1 Introduction 1 1.1 Background and motivation 1 1.2 Problem definition 2 1.3 Contribution 3 1.4 Overview 5 2 Background and Related Works 6 3 Solution procedure 11 3.1 Framework of genetic algorithm 11 3.2 Generating a chromosome 13 3.3 Crossover 18 3.4 Mutation 21 3.5 Optimal pickup/delivery amount of a route 22 3.6 Fitness function 28 4 Performance evaluation 30 4.1 Parameters 30 4.2 Average performance 30 4.3 Computation time 34 5 Conclusion 36 References 38 Appendices 44 A Selecting Starting DCs 45 B Generating Initial Population 47 C Fitness Function 49 D Feasibility Checking 55 E Genetic Operator 56-
dc.language.isoeng-
dc.publisherThe Graduate School, Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.titleTransshipment Vehicle Routing with Drop/Pickup and Volume Feasibility for Cross Filling-
dc.typeThesis-
dc.contributor.affiliation아주대학교 일반대학원-
dc.contributor.department일반대학원 산업공학과-
dc.date.awarded2021. 2-
dc.description.degreeMaster-
dc.identifier.localId1203456-
dc.identifier.uciI804:41038-000000030619-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030619-
dc.subject.keywordcross-filling-
dc.subject.keywordorder fulfillment-
dc.subject.keywordpickup and delivery-
dc.subject.keywordtransshipment-
dc.subject.keywordvehicle routing-
dc.description.alternativeAbstractDistribution centers (DCs) typically receive orders from the customers (mostly retail stores) located in its vicinity; and deliver the ordered goods in the next day morning. To maintain high item fill rate, DCs have to hold a high level of inventory, which will increase inventory cost. As an alternative, cross-filling is that, after closing the daily order receipt, DCs exchange surplus items during the night to reduce the shortage. The economic justification of such cross-filling will depend on the trade-o_x001B_ between extra transshipment and handling cost versus saved shortage cost. In this paper, as an extension of Rim and Jiang [1], vehicles are allowed to drop and pickup items at the intermediate DCs in the route. We present a genetic algorithm to determine the routes and amount to pickup/drop at each DC to minimize the total cost.-
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Special Graduate Schools > Graduate School of Science and Technology > Department of Industrial Engineering > 3. Theses(Master)
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