The vehicle routing problem for perishable goods: A systematic review

被引：22

作者：

Utama, Dana Marsetiya ^{[1
]}

Dewi, Shanty Kusuma ^{[1
]}

Wahid, Abdul ^{[2
]}

Santoso, Imam ^{[3
]}

机构：

[1] Univ Muhammadiyah Malang, Dept Ind Engn, Malang, Indonesia

[2] Univ Yudharta Pasuruan, Dept Ind Engn, Pasuruan, Indonesia

[3] Univ Brawijaya, Malang, Indonesia

来源：

COGENT ENGINEERING | 2020年 / 7卷 / 01期

关键词：

optimization; perishable goods; routing; VRP; INTEGRATED PRODUCTION; TIME-WINDOWS; MULTIOBJECTIVE OPTIMIZATION; HEURISTIC ALGORITHM; SCHEDULING PROBLEM; CROSS-DOCKING; PRODUCTS; MODEL;

D O I：

10.1080/23311916.2020.1816148

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Vehicle Routing Problem (VRP) is the problem for finding optimal routes in the distribution system, and this problem needs attention because it can improve distribution performance. One of the problems in VRP is the Vehicle Routing Problem for Perishable Goods (VRPfPG). This issue addresses VRP for products that are rapidly losing quality and perishable. This paper attempts to review the Vehicle Routing Problem for Perishable Goods (VRPfPG). A systematic review has been carried out on fifty-nine (59) published papers from 2001 to March 2020. The optimization methods in this review were classified into single and multi-objective problems. In addition, the review was also conducted based on the objective function. The results show the metaheuristic algorithm to be a popular optimization method for solving single and multi-objective problems. Further, the results also show that minimizing the total cost distribution to be the objective function that was often used by researchers. Finally, future studies are suggested to explore a more comprehensive investigation in the VRPfPG.

引用

页数：24

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