The two-echelon inventory-routing problem with fleet management

被引:16
|
作者
Schenekemberg, Cleder M. [1 ]
Scarpin, Cassius T. [1 ]
Pecora Jr, Jose E. [1 ,3 ]
Guimaraes, Thiago A. [1 ,2 ]
Coelho, Leandro C. [3 ,4 ]
机构
[1] Fed Univ Parana UFPR, Res Grp Technol Appl Optimizat GTAO, Curitiba, Parana, Brazil
[2] Fed Inst Sci & Technol Parana IFPR, Curitiba, Parana, Brazil
[3] Ctr Interuniv Rech Reseaux Entreprise Logist & Tr, Montreal, PQ, Canada
[4] Univ Laval, Canada Res Chair Integrated Logist, Quebec City, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Fleet management; Two-echelon inventory-routing; Matheuristic; Branch-and-cut; Parallel computing; CUT ALGORITHM;
D O I
10.1016/j.cor.2020.104944
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper introduces the Two-Echelon Inventory-Routing Problem with Fleet Management. This problem arises under a two-echelon vendor-managed inventory system when a company must make vehicle routing and inventory management decisions, while renting a fleet subject to short- and mid-term agreements. Different chemical products are transported contaminating the vehicles that may require cleaning activities. Pickups of input take place in the first echelon, and the final product deliveries are performed in the second echelon. Based on a real-life case in the petrochemical industry, we introduce a formulation that takes into account vehicle rentals, cleanings, transportation, inventory management, and vehicle returns decisions. We design a branch-and-cut algorithm to solve it and also propose a matheuristic, in which vehicle routes are handled by an adaptive large neighborhood mechanism, while input pickups, product deliveries, and fleet planning are performed by solving several subproblems to optimality. Moreover, we introduce a hybrid parallel framework, combining our matheuristic and the branch-and- cut algorithm in order to solve very large instances exactly. We validate our methods by solving a set of instances of the two-echelon multi-depot inventory-routing problem from the literature, obtaining new best solutions for all instances. We have introduced a set of instances for this rich and new problem, and performed an extensive assessment of our methods. The results provide interesting data about the supply chain structure. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
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