Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61182
Title: Integrated inventory-transportation model by synchronizing delivery and production cycles
Authors: Lee, YCE
Chan, CK 
Langevin, A
Lee, HWJ 
Keywords: Adaptive large neighborhood search
Genetic algorithm
Inventory-transportation
Simulated annealing
Supply chain management
Vehicle routing
Issue Date: 2016
Publisher: Pergamon Press
Source: Transportation research. Part E, Logistics and transportation review, 2016, v. 91, p. 68-89 How to cite?
Journal: Transportation research. Part E, Logistics and transportation review 
Abstract: This paper develops an integrated single-vendor multi-buyer inventory-transportation synchronized supply chain model. In this paper, the decisions of truck assignment and routing are also considered and as a result, a series of vehicle routing problems (VRP) are required to be solved. Due to the highly complicated objective function and the NP-hard VRP problems, the problem cannot be solved analytically. Hence, meta-heuristics are proposed. By means of the numerical examples and a case study, the meta-heuristics developed are shown to be very effective in solving such comprehensive supply chain models, and the results so obtained are promising.
URI: http://hdl.handle.net/10397/61182
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2016.03.017
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Aug 18, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Aug 13, 2017

Page view(s)

17
Last Week
2
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.