A Particle Swarm Optimization Approach for Route Planning with Cross-Docking

被引：9

作者：

Chen, Mu-Chen ^{[1
]}

Hsiao, Yu-Hsiang ^{[2
]}

Reddy, Himadeep ^{[3
]}

Tiwari, Manoj Kumar ^{[3
]}

机构：

[1] Natl Chiao Tung Univ, Dept Transportat & Logist Management, Taipei, Taiwan

[2] Natl Taipei Univ, Dept Business Adm, New Taipei, Taiwan

[3] Indian Inst Technol, Dept Ind & Syst Engn, Kharagpur, W Bengal, India

来源：

2015 7TH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING & TECHNOLOGY (ICETET) | 2015年

关键词：

E-Logistics; Supply Chain Management; Cross-Dock; Vehicle Routing Problem; Particle Swarm Optimization;

D O I：

10.1109/ICETET.2015.12

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In cross-docking operations, planners need to coordinate the inbound, docking and outbound logistics operations to ensure a smooth flow of goods across the supply chain. The operation management of cross docking is a crucial task with high complexity for the logistics systems. This paper attempts to address the Vehicle Routing Problems (VRPs) of distribution centers with multiple cross-docks for processing multiple products. In this paper, the mathematical model intends to minimize the total cost of operations subjected to a set of time and capacity constraints. Due to high complexity of model, a variant of Particle Swarm Optimization (PSO) with a Self-Learning approach is tailored to solve the VRP. Two test problems are generated and results are obtained.

引用

页码：1 / 6

页数：6

共 18 条

[1]

Apte U. M., 2000, INT J LOGIST-RES APP, V3, P291, DOI DOI 10.1080/713682769

[2] The particle swarm - Explosion, stability, and convergence in a multidimensional complex space [J].

Clerc, M ;

Kennedy, J .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (01) :58-73

[3] THE TRUCK DISPATCHING PROBLEM [J].

DANTZIG, GB ;

RAMSER, JH .

MANAGEMENT SCIENCE, 1959, 6 (01) :80-91

[4]

Forger G., 1995, Modern material handling, V36, P36

[5]

Kennedy J., 1995, 1995 IEEE International Conference on Neural Networks Proceedings (Cat. No.95CH35828), P1942, DOI 10.1109/ICNN.1995.488968

[6]

Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968

[7] A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests [J].

Khouadjia, Mostepha R. ;

Sarasola, Briseida ;

Alba, Enrique ;

Jourdan, Laetitia ;

Talbi, El-Ghazali .

APPLIED SOFT COMPUTING, 2012, 12 (04) :1426-1439

[8] Vehicle routing scheduling for cross-docking in the supply chain [J].

Lee, Young Hae ;

Jung, Jung Woo ;

Lee, Kyong Min .

COMPUTERS & INDUSTRIAL ENGINEERING, 2006, 51 (02) :247-256

[9] APPLYING THE GENETIC APPROACH TO SIMULATED ANNEALING IN SOLVING SOME NP-HARD PROBLEMS [J].

LIN, FT ;

KAO, CY ;

HSU, CC .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (06) :1752-1767

[10] Multiple cross-docks scheduling using two meta-heuristic algorithms [J].

Madani-Isfahani, Mansooreh ;

Tavakkoli-Moghaddam, Reza ;

Naderi, Bahman .

COMPUTERS & INDUSTRIAL ENGINEERING, 2014, 74 :129-138

← 1 2 →