An integrated algorithm for solving multi-customer joint replenishment problem with districting consideration

被引：9
|
作者：
Yao, Ming-Jong [1 ]
Lin, Jen-Yen [2 ]
Lin, Yu-Liang [1 ,3 ]
Fang, Shu-Cherng [3 ]
机构：
[1] Natl Chiao Tung Univ, Dept Transportat & Logist Management, Hsinchu 30010, Taiwan
[2] Natl Chiayi Univ, Dept Appl Math, Chiayi 60004, Taiwan
[3] North Carolina State Univ, Edward P Fitts Dept Ind & Syst Engn, Raleigh, NC 27695 USA
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2020年 / 138卷
关键词：
Joint replenishment; Districting problem; Genetic algorithm; DELIVERY; PROBABILITIES; FORMULATION; CROSSOVER; MUTATION;
D O I：
10.1016/j.tre.2020.101896
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper studies a multi-customer joint replenishment problem with districting consideration (MJRPDC) which is of particular importance to a company that outsources its transportation and delivery operations to a third-party logistics (3PL) service provider. To solve the problem, we first propose an innovative search algorithm for solving the traditional multi-customer joint replenishment problem in a given zone. Then we design a GA-based framework to handle the corresponding districting problem based on the performance of each district evaluated by using the proposed search algorithm. The proposed methodologies are demonstrated by using an example of solving MJRPDC for a bank.
引用
收藏
页数：23
相关论文
共 50 条
  • [31] A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies
    Cui, Ligang
    Deng, Jie
    Liu, Rui
    Xu, Dongyang
    Zhang, Yajun
    Xu, Maozeng
    APPLIED MATHEMATICS AND COMPUTATION, 2020, 374
  • [32] Solving Multi-Controller Placement Problem in Soft with A Genetic Algorithm
    Babayigit, Bilal
    Ulu, Banu
    Hascokadar, Eda Nur
    2019 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2019, : 666 - 670
  • [33] Multi-level Evolutionary Genetic Algorithm for Solving VRPSPD Problem
    Hu, Maoting
    Deng, Zhongliang
    Yang, Fuxing
    Liu, Xiu
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 1685 - 1691
  • [34] Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts
    Ai, Xueyi
    Yue, Yi
    Xu, Haoxuan
    Deng, Xudong
    PLOS ONE, 2021, 16 (02):
  • [35] A Genetic Algorithm for Solving the Bandwidth-Constrained Multi-Path Problem
    Liu, Yilan
    Pan, Yun
    Wang, Wenqing
    Yang, Muxi
    Fang, Chi
    3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015), 2015, : 504 - 508
  • [36] Genetic Algorithm for Solving Multi-Objective Optimization in Examination Timetabling Problem
    Son Ngo Tung
    Jaafar, Jafreezal B.
    Aziz, Izzatdin Abdul
    Hoang Giang Nguyen
    Anh Ngoc Bui
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (11) : 4 - 24
  • [37] The Solving of Multi-Objective Network Designing Problem Based On Genetic Algorithm
    Shi Lianshuan
    Yuan Liang
    Li Zengyan
    Dai Yi
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL I, 2009, : 446 - +
  • [38] Heuristic algorithm to solve the multi-floor layout problem with the consideration of elevator utilization
    Matsuzaki, K
    Irohara, T
    Yoshimoto, K
    COMPUTERS & INDUSTRIAL ENGINEERING, 1999, 36 (02) : 487 - 502
  • [39] MULTI-OBJECTIVE EVOLUTIONARY APPROACH FOR SUPPLY CHAIN NETWORK DESIGN PROBLEM WITHIN ONLINE CUSTOMER CONSIDERATION
    Liao, Shu-Hsien
    Hsieh, Chia-Lin
    Ho, Wei-Chung
    RAIRO-OPERATIONS RESEARCH, 2017, 51 (01) : 135 - 155
  • [40] Fast Tabu Search Algorithm for Solving Multi-vehicle and Multi-cargo Loading Problem
    Ren, Chunyu
    ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3, 2013, 655-657 : 2397 - 2400
12345