Stowage planning for container ships to reduce the number of shifts

被引:158
|
作者
Avriel, M [1 ]
Penn, M [1 ]
Shpirer, N [1 ]
Witteboon, S [1 ]
机构
[1] Technion Israel Inst Technol, Fac Ind Engn & Management, IL-32000 Haifa, Israel
关键词
Binary Variable; Planning Problem; Vertical Stack; Programming Formulation; Common Situation;
D O I
10.1023/A:1018956823693
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper deals with a stowage plan for containers in a container ship. Containers on board a container ship are placed in vertical stacks, located in many bays. Since the access to the containers is only from the top of the stack, a common situation is that containers designated for port J must be unloaded and reloaded at port I (before J) in order to access containers below them, designated for port I. This operation is called "shifting". A container ship calling at many ports may encounter a large number of shifting operations, some of which can be avoided by efficient stowage planning. In general, the stowage plan must also take into account stability and strength requirements, as well as several other constraints on the placement of containers. In this paper, we only deal with stowage planning in order to minimize the number of shiftings, without considering stability and several other constraints. First, we briefly present a 0-1 binary Linear programming formulation that can find the optimal solution for stowage planning. However, finding the optimal solution using this model is quite limited because of the large number of binary variables and constraints needed for the formulation. Moreover, in [3] the stowage planning problem is shown to be NP-complete. For these reasons, the Suspensory Heuristic Procedure was developed.
引用
收藏
页码:55 / 71
页数:17
相关论文
共 50 条
  • [2] Stowage planning for container ships to reduce the number of shifts
    Mordecai Avriel
    Michal Penn
    Naomi Shpirer
    Smadar Witteboon
    Annals of Operations Research, 1998, 76 : 55 - 71
  • [3] Stowage planning for container ships: A heuristic algorithm to reduce the number of shifts
    Ding, Ding
    Chou, Mabel C.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 246 (01) : 242 - 249
  • [4] Large containership stowage planning for maritime logistics: A novel meta-heuristic algorithm to reduce the number of shifts
    Zhou, Shaorui
    Guo, Ziyi
    Chen, Jihong
    Jiang, Gege
    ADVANCED ENGINEERING INFORMATICS, 2025, 64
  • [5] On the complexity of container stowage planning problems
    Tierney, Kevin
    Pacino, Dario
    Jensen, Rune Moller
    DISCRETE APPLIED MATHEMATICS, 2014, 169 : 225 - 230
  • [6] Modelling and implementation of an intelligent stowage simulator for container ships
    Wang Q.
    Zhao J.
    Ma L.
    International Journal of Simulation and Process Modelling, 2020, 15 (03): : 201 - 212
  • [7] Stowage planning in maritime container transportation
    Kang, JG
    Kim, YD
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2002, 53 (04) : 415 - 426
  • [8] Solution of the 3D Stochastic Stowage Planning for Container Ships through Representation by Rules
    de Azevedo, Anibal Tavares
    de Arruda, Edilson Fernandes
    de Salles Neto, Luiz Leduino
    Chaves, Antnio Augusto
    Moretti, Antonio Carlos
    PROCEEDINGS OF THE FOURTH INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY, KNOWLEDGE MANAGEMENT AND DECISION SUPPORT (EUREKA-2013), 2013, 51 : 120 - 129
  • [9] Literature survey on the container stowage planning problem
    van Twiller, Jaike
    Sivertsen, Agnieszka
    Pacino, Dario
    Jensen, Rune Moller
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 317 (03) : 841 - 857
  • [10] Robust approach in stowage planning at container terminals
    Zhao, Ning
    Mi, Weijian
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT LOGISTICS SYSTEMS, 2008, : 191 - 204