An integrated material handling system for a truck assembly plant
E Kozan ()
Additional contact information
E Kozan: Queensland University of Technology
Journal of the Operational Research Society, 2000, vol. 51, issue 3, 263-271
Abstract:
Abstract The paper attempts to develop a more comprehensive analytical framework for examining the relative merits of alternative material handling and inventory strategies for a truck assembly plant. This model can be used to minimise handling in delivering requirements from the warehouse to the assembly line and from the unpacking area to the warehouse. The model is also designed to look at arrangements of the storage areas to increase the efficiency of material management. This model is based on extensions of the Vehicle Routing Problem. Solutions to the model have been obtained by an implementation of a Genetic Algorithm. The historical demand data of the plant are used to simulate and analyse the different strategies to statistically determine the best material handing and inventory strategies for the truck assembly plant. As a result of implementation, the efficiency of the current system has been increased by about 30%.
Keywords: dispatching; heuristics; scheduling; vehicle scheduling (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2600921 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:51:y:2000:i:3:d:10.1057_palgrave.jors.2600921
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
DOI: 10.1057/palgrave.jors.2600921
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook
More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().