Optimizing time–cost trade-off decisions in an interval transportation problem with multiple shipment options. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Singh, Shalabh
• Is Part Of: Engineering optimization. Volume 55:Issue 1(2023)
• Page Start: 53
• Page End: 70
• Publication Date: 2023-01-02
• Subjects: Multi-choice programming -- logistics -- interval transportation problem -- time–cost trade-off; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2021.1982931
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : This article makes an attempt to build on the extant literature on time–cost trade-off in a transportation problem. The idea is to agglomerate the world of multiple shipment options along with the uncertainty in demand/supply requirements to the traditional set-up. The article introduces a bi-objective transportation model with multi-choice cost and time coefficients along with interval demand and supply constraints. Such a transportation framework is more generalized and provides a much broader view to a decision-maker. The research proposes an efficient iterative algorithm for generating the Pareto frontier that solves a minimum cost flow problem at each iteration. The special structure of this network flow problem is exploited to obtain computationally efficient results. The proposed method is applied to a real-world case study of UPS Express Critical in the United States. The analysis suggests that significant savings in cost and time objectives can be achieved over the traditional set-ups.