DocumentCode
2750672
Title
A generic model for crossdock truck scheduling and truck-to-door assignment problems
Author
Shakeri, Mojtaba ; Low, Malcolm Yoke Hean ; Li, Zhengping
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
fYear
2008
fDate
13-16 July 2008
Firstpage
857
Lastpage
864
Abstract
Crossdocking is a just-in-time (JIT) practice in logistics of unloading materials from an incoming trailer and loading them into outgoing trailers, with little or no storage in between. The efficient operation of a crossdocking system requires an appropriate coordination of inbound and outbound flows, accurate planning and dynamic scheduling. Unfortunately, optimizing solutions to the problems associated with crossdock operational management and planning is quite difficult and in some cases even impossible. Besides, there is currently a shortage of planning policies for different crossdocking operations. In this paper, we develop a generic mathematical model to address the two problems of truck scheduling and truck-to-door assignment through employing a mixed integer programming approach (MIP). We believe our proposed model is generic enough to embrace various types of crossdocking operations which have been exercised in todaypsilas industrial world, more specifically fast moving consumer goods (FMCG) industry.
Keywords
consumer products; fork lift trucks; integer programming; just-in-time; loading; logistics; planning; scheduling; transportation; unloading; consumer goods industry; crossdock operational management; crossdock truck scheduling; dynamic scheduling; just-in-time; loading trailers; logistics; mixed integer programming; planning; truck-to-door assignment problems; unloading materials; Computer aided manufacturing; Costs; Dynamic scheduling; Job shop scheduling; Linear programming; Logistics; Manufacturing industries; Material storage; Mathematical model; Supply chains; Crossdocking; Modeling; Optimization; Truck scheduling; Truck-to-door assignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location
Daejeon
ISSN
1935-4576
Print_ISBN
978-1-4244-2170-1
Electronic_ISBN
1935-4576
Type
conf
DOI
10.1109/INDIN.2008.4618221
Filename
4618221
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