Transportation mode selection in inventory models: A literature review

被引:30
|
作者
Engebrethsen, Erna [1 ]
Dauzere-Peres, Stephane [1 ,2 ]
机构
[1] BI Norwegian Business Sch, Dept Accounting Auditing & Business Analyt, N-0484 Oslo, Norway
[2] Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, Dept Mfg Sci & Logist,CMP, F-13541 Gardanne, France
关键词
Transportation; Mode selection; Transportation Costs; Inventory Management; Literature review; LOT-SIZING PROBLEM; SUPPLY CHAIN MANAGEMENT; INTEGRATED INVENTORY; FREIGHT TRANSPORT; EOQ MODEL; QUANTITY DISCOUNTS; ORDER QUANTITY; NETWORK DESIGN; SHIPMENT SIZE; COST;
D O I
10.1016/j.ejor.2018.11.067
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Despite the significant share of transportation costs in logistics costs and the importance of considering transportation in inventory models, the majority of the existing models either neglect or simplify transportation costs and capacities, often assuming that only one transportation option is available. The complexity of modeling and choosing the optimal transportation mode or combination of modes has increased due to the increased variety of transportation options and pricing schedules after deregulation. In this paper, we review and classify inventory models with multiple transportation modes focusing on the freight cost functions, mode characteristics and the methods for modeling multiple modes. To our knowledge, no such review has previously been published. We discuss the benefits and weaknesses of each modeling method and, based on industrial practices, identify new areas for research. (C) 2018 Elsevier B.V. All rights reserved.
引用
下载
收藏
页码:1 / 25
页数:25
相关论文
共 50 条
  • [31] Research on Transportation Mode Selection Based on Machine Learning
    Ye, Yong
    Xiong, Hao
    Tian, Jiayu
    CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 1788 - 1798
  • [32] Application of DEA and AHP method in transportation mode selection
    Zhou Zhijuan
    Chen Senfa
    PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2, 2007, : 1330 - 1333
  • [33] Intelligent system for transportation mode selection in ASEAN countries
    Janthongpan S.
    Rattanawong W.
    Suthikarnnarunai N.
    Janthongpan, Surat (surat.janthongpan@yahoo.com), 2016, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (10): : 361 - 372
  • [34] Transportation mode selection with positive manufacturing lead time
    Kiesmüller, GP
    de Kok, AG
    Fransoo, JC
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2005, 41 (06) : 511 - 530
  • [35] Facility location selection considering distance and transportation mode
    Hagimoto, Akane
    Ishigaki, Aya
    Takashima, Ryuta
    Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022, 2022, : 609 - 614
  • [36] Integrated Inventory Placement and Transportation Vehicle Selection using Neural Network
    Qiu, Junyan
    Xia, Jun
    Luo, Jun
    Liu, Yang
    Liu, Yuxin
    2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2022, : 1601 - 1608
  • [37] RISK IN INVENTORY MODELS - REVIEW AND IMPLEMENTATION
    ANVARI, M
    KUSY, M
    ENGINEERING COSTS AND PRODUCTION ECONOMICS, 1990, 19 (1-3): : 267 - 272
  • [38] Inventory models and trade credit: a review
    Soni, Hardik
    Shah, Nita H.
    Jaggi, Chandra K.
    CONTROL AND CYBERNETICS, 2010, 39 (03): : 867 - 882
  • [39] Fuzzy inventory models: A comprehensive review
    Shekarian, Ehsan
    Kazemi, Nima
    Abdul-Rashid, Salwa Hanim
    Olugu, Ezutah Udoncy
    APPLIED SOFT COMPUTING, 2017, 55 : 588 - 621
  • [40] Inventory models with lateral transshipments: A review
    Paterson, Colin
    Kiesmuller, Gudrun
    Teunter, Ruud
    Glazebrook, Kevin
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 210 (02) : 125 - 136