The Inventory Routing Problem with Demand Moves

被引:0
|
作者
Baller A.C. [1 ]
Dabia S. [1 ]
Desaulniers G. [2 ,3 ]
Dullaert W.E.H. [1 ]
机构
[1] Department of Operations Analytics, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam
[2] GERAD, Montréal, H3T 2A7, QC
[3] Department of Mathematics and Industrial Engineering, Polytechnique Montréal (Québec), Montréal, H3C 3A7, QC
关键词
Branch-price-and-cut; Demand moves; Exact methods; Inventory routing problem;
D O I
10.1007/s43069-020-00042-z
中图分类号
学科分类号
摘要
In the Inventory Routing Problem, customer demand is satisfied from inventory which is replenished with capacitated vehicles. The objective is to minimize total routing and inventory holding cost over a time horizon. If the customers are located relatively close to each other, one has the opportunity to satisfy the demand of a customer by inventory stored at another nearby customer. In the optimization of the customer replenishments, this option can be included to lower total costs. This is for example the case for ATMs in urban areas where an ATM-user that wants to withdraw money could be redirected to another ATM. To the best of our knowledge, the possibility of redirecting end-users is new to the operations research literature and has not been implemented, but is being considered, in the industry. We formulate the Inventory Routing Problem with Demand Moves in which demand of a customer can (partially) be satisfied by the inventory of a nearby customer at a service cost depending on the quantity and the distance. We propose a branch-price-and-cut solution approach which is evaluated on problem instances from the literature. Cost improvements over the classical IRP of up to 10% are observed with average savings around 3%. © 2021, The Author(s).
引用
收藏
相关论文
共 50 条
  • [21] Study on Sustainable Combined Location-Inventory-Routing Problem Based on Demand Forecasting
    Ji, Tingting
    Ji, Shoufeng
    Ji, Yuanyuan
    Liu, Hongyu
    SUSTAINABILITY, 2022, 14 (23)
  • [22] A Improved Subgradient Lagrangian Relaxation Algorithm for Solving the Stochastic Demand Inventory Routing Problem
    Zhao Y.-Y.
    Duan Q.-Q.
    Cyber-Physical Systems, 2023, 9 (02) : 174 - 192
  • [23] Inventory routing and pricing problem with vehicle leasing under periodic and cyclic fluctuation of demand
    Yang H.
    Xin Y.
    Li Z.
    Wang Z.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (06): : 1903 - 1912
  • [24] Persistent self-learning algorithm for inventory routing problem with periodic demand fluctuation
    Guo Y.
    Li J.
    Shen X.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2024, 30 (04): : 1487 - 1505
  • [25] Robust Inventory Routing Under Demand Uncertainty
    Solyali, Oguz
    Cordeau, Jean-Francois
    Laporte, Gilbert
    TRANSPORTATION SCIENCE, 2012, 46 (03) : 327 - 340
  • [26] Inventory routing under stochastic supply and demand *
    Alvarez, Aldair
    Cordeau, Jean-Francois
    Jans, Raf
    Munari, Pedro
    Morabito, Reinaldo
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2021, 102
  • [27] Inventory routing in a warehouse: The storage replenishment routing problem
    Celik, Melih
    Archetti, Claudia
    Sural, Haldun
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 301 (03) : 1117 - 1132
  • [28] Inventory Policy and Heuristic for Long-Term Multi-product Perishable Inventory Routing Problem with Static Demand
    Xi-Yi Chen
    Jian-Bo Yang
    Dong-Ling Xu
    Journal of the Operations Research Society of China, 2022, 10 : 659 - 683
  • [29] Inventory Policy and Heuristic for Long-Term Multi-product Perishable Inventory Routing Problem with Static Demand
    Chen, Xi-Yi
    Yang, Jian-Bo
    Xu, Dong-Ling
    JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA, 2022, 10 (03) : 659 - 683
  • [30] A Matheuristic Algorithm for the Inventory Routing Problem
    Su, Zhouxing
    Lu, Zhipeng
    Wang, Zhuo
    Qi, Yanmin
    Benlic, Una
    TRANSPORTATION SCIENCE, 2020, 54 (02) : 330 - 354