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    Solution to the Multidepot Inventory Slack-Routing Problem at the Planning Stage

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author:
    Xianfeng Yang
    ,
    Shanjiang Zhu
    DOI: 10.1061/(ASCE)CP.1943-5487.0000449
    Publisher: American Society of Civil Engineers
    Abstract: To help governments improve preparedness for emergency events, this study introduces a solution framework for the multidepot inventory slack-routing problem (ISRP). By defining slack as the difference between delivery arrival time and estimated inventory stock-out time, the objective of ISRP is to maximize the inventory slack of each dispensing site. Previous studies exclusively focused on single-depot ISRP, but this study extends the problem to a multidepot case, which is more applicable in practice. To quickly generate an optimal solution, this study proposes an efficient solution heuristic that consists of four consecutive steps: site assignment, vehicle routing design, delivery quantity scheduling, and site reassignment. The numerical test demonstrates that the proposed heuristic can properly assign the dispensing sites to different depots, design optimal vehicle routing plans for each depot, and balance inventory slacks over all sites.
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      Solution to the Multidepot Inventory Slack-Routing Problem at the Planning Stage

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    contributor authorXianfeng Yang
    contributor authorShanjiang Zhu
    date accessioned2017-05-08T22:34:18Z
    date available2017-05-08T22:34:18Z
    date copyrightJanuary 2016
    date issued2016
    identifier other49961337.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82846
    description abstractTo help governments improve preparedness for emergency events, this study introduces a solution framework for the multidepot inventory slack-routing problem (ISRP). By defining slack as the difference between delivery arrival time and estimated inventory stock-out time, the objective of ISRP is to maximize the inventory slack of each dispensing site. Previous studies exclusively focused on single-depot ISRP, but this study extends the problem to a multidepot case, which is more applicable in practice. To quickly generate an optimal solution, this study proposes an efficient solution heuristic that consists of four consecutive steps: site assignment, vehicle routing design, delivery quantity scheduling, and site reassignment. The numerical test demonstrates that the proposed heuristic can properly assign the dispensing sites to different depots, design optimal vehicle routing plans for each depot, and balance inventory slacks over all sites.
    publisherAmerican Society of Civil Engineers
    titleSolution to the Multidepot Inventory Slack-Routing Problem at the Planning Stage
    typeJournal Paper
    journal volume30
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000449
    treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian