Truck Scheduling in a Cross-Docking Terminal by Using Novel Robust Heuristics

被引:10
|
作者
Seyedi, I. [1 ]
Hamedi, M. [1 ]
Tavakkoli-Moghaddam, R. [2 ,3 ]
机构
[1] Payame Noor Univ, Dept Ind Engn, Tehran, Iran
[2] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran
[3] Arts & Metiers ParisTech, LCFC, Campus Metz, Paris, France
来源
INTERNATIONAL JOURNAL OF ENGINEERING | 2019年 / 32卷 / 02期
关键词
Cross-docking; Scheduling; Optimization; Heuristic; VEHICLE-ROUTING PROBLEM; GENETIC ALGORITHM; SYSTEMS; DELIVERY; PICKUP;
D O I
10.5829/ije.2019.32.02b.15
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, one of the major goals of the distribution environment is to reduce lead times and inventories. Cross-docking is a logistics technique which removes the storage and picking up the functions of a warehouse. The term cross-docking refers to moving products directly from incoming to outgoing trailers with little or no storage in between. According to the recent related papers, the truck scheduling problem is one of the objectives for cross-docking systems which is divided into smaller parts. The first stage is about the assignment of the trucks to the dock doors while the second stage aims to sequence all inbound and outbound trucks, in an effective way. Therefore, for dealing with the truck scheduling problem in a cross-docking system, this paper develops five heuristics. The obtained results are compared with those from the previous works. We use many test problems in the literature that were created in different sizes to study the performance of the novel heuristics. In small and medium dimensions the minimum value which found is related to one of the methods CDH3 (Cross Dock Heuristic) which has been proposed in this paper beside in all scales the method CDH4 is the best among others. The numerical results show that the developed heuristics are able to find quick good solutions with fast convergence.
引用
收藏
页码:296 / 305
页数:10
相关论文
共 50 条
  • [21] Inbound and outbound truck scheduling in a cross-docking center for fresh products
    Pan, Fei
    Fan, Tijun
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM 2019), 2019, : 48 - 53
  • [22] A Lagrangian heuristics for the truck scheduling problem in multi-door, multi-product Cross-Docking with constant processing
    Gaudioso, Manlio
    Monaco, Maria Flavia
    Sammarra, Marcello
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2021, 101
  • [23] Cross-docking Operation Scheduling: Truck Arrivals, Shop-Floor Activities and Truck Departures
    Serrano, Christian
    Moral, Javier
    Delorme, Xavier
    Dolgui, Alexandre
    IFAC PAPERSONLINE, 2016, 49 (12): : 1353 - 1358
  • [24] TRUCK ROUTING AND SCHEDULING FOR CROSS-DOCKING IN THE SUPPLY CHAIN: MODEL AND SOLUTION METHOD
    Yazdani, Mehdi
    Naderi, Bahman
    Rahmani, Shabnam
    Rahmani, Shadi
    RAIRO-OPERATIONS RESEARCH, 2017, 51 (03) : 833 - 856
  • [25] Integrating truck scheduling and employee rostering in a cross-docking platform - an iterative approach
    Ladier, Anne-Laure
    Alpan, Gulgun
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM), 2015, : 676 - 685
  • [26] New Approaches in Metaheuristics to Solve the Truck Scheduling Problem in a Cross-docking Center
    Mohammadzadeh, H.
    Sahebjamnia, N.
    Fathollahi-Fard, A. M.
    Hahiaghaei-Keshteli, M.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2018, 31 (08): : 1258 - 1266
  • [27] A Multiobjective Mathematical Model for Truck Scheduling Problem in Multidoor Cross-Docking System
    Taghizadeh, Mahziar
    Shojaie, Amir Abbas
    Sarfaraz, Amir Homayoun
    Raissi, Sadigh
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 2022
  • [28] An Adaptive Polyploid Memetic Algorithm for scheduling trucks at a cross-docking terminal
    Dulebenets, Maxim A.
    INFORMATION SCIENCES, 2021, 565 : 390 - 421
  • [29] Multi-agent Based Truck Scheduling Using Ant Colony Intelligence in a Cross-Docking Platform
    Zouhaier, Houda
    Ben Said, Lamjed
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 457 - 466
  • [30] Evolutionary algorithm framework for optimizing truck scheduling in multi-dock truck cross-docking centers
    Nogueira, Thiago Henrique
    Coutinho, Felipe Provezano
    Peixoto, Maria Gabriela Mendonca
    Carrano, Eduardo Gontijo
    Ravetti, Martin Gomez
    EVOLUTIONARY INTELLIGENCE, 2025, 18 (01)