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dc.contributor.authorAbdirad, Maryam
dc.contributor.authorKrishnan, Krishna K.
dc.contributor.authorGupta, Deepak P.
dc.identifier.citationMaryam Abdirad, Krishna Krishnan & Deepak Gupta (2020) A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach, Journal of Management Analyticsen_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractIndustry 4.0 is a concept that assists companies in developing a modern supply chain (MSC) system when they are faced with a dynamic process. Because Industry 4.0 focuses on mobility and real-time integration, it is a good framework for a dynamic vehicle routing problem (DVRP). This research works on DVRP. The aim of this research is to minimize transportation cost without exceeding the capacity constraint of each vehicle while serving customer demands from a common depot. Meanwhile, new orders arrive at a specific time into the system while the vehicles are executing the delivery of existing orders. This paper presents a two-stage hybrid algorithm for solving the DVRP. In the first stage, construction algorithms are applied to develop the initial route. In the second stage, improvement algorithms are applied. Experimental results were designed for different sizes of problems. Analysis results show the effectiveness of the proposed algorithm.en_US
dc.publisherTaylor and Francis Ltden_US
dc.relation.ispartofseriesJournal of Management Analytics;2020
dc.subjectDynamic vehicle routing problemen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectIndustry 4.0en_US
dc.subjectTwo-stage algorithmen_US
dc.titleA two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approachen_US
dc.rights.holder© 2020 Antai College of Economics and Managementen_US

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    Research works published by faculty and students of the Department of Industrial, Systems, and Manufacturing Engineering

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