 Optimisation model for simultaneous delivery and pickup vehicle routing problem with time windowsMst. Anjuman Ara, Md. Tanvir Ahmed and Nilufa Yeasmin International Journal of Services and Operations Management, 2022, vol. 43, issue 2, 145-168 Abstract: Simultaneous delivery and pickup vehicle routing problem with time windows constrained is studied to improve the performance of logistics management for transporting goods by determining optimum vehicle routes. In forward supply service, a quantity of product is delivered to each customer and another quantity is picked up from customers as a part of reversed logistics. The objective of this model is to determine the efficient vehicle route under cost optimisation including fixed cost, variable cost and penalty cost for being tardy. This study proposes a hybrid genetic algorithm which incorporates three different heuristics for generating initial solution including sweep algorithm, time oriented heuristics and swap heuristic. In order to evaluate the performance of the proposed hybrid genetic algorithm, a comparison study is made with existing genetic algorithm. The results show that the performance of HGA is superior to that of GA in terms of the total cost consumption of vehicle. Keywords: cost optimisation; VRPSDP; reverse logistics; hybrid genetic algorithm; HGA; genetic algorithm. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:43:y:2022:i:2:p:145-168 Access Statistics for this article More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd |
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