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Hybrid ant systems for the dynamic facility layout problem [An article from: Computers and Operations Research]
Book Details
Author(s)A.R. McKendall, J. Shang
PublisherElsevier
ISBN / ASINB000RR7S0G
ISBN-13978B000RR7S01
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Computers and Operations Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Today's consumer market demands that manufacturers must be competitive. This requires the efficient operation of manufacturing plants and their ability to quickly respond to changes in product mix and demand. In addition, studies show that material-handling cost make up between 20 and 50 percent of the total operating cost. Therefore, this paper considers the problem of arranging and rearranging, when there are changes in product mix and demand, manufacturing facilities such that the sum of material handling and rearrangement costs is minimized. This problem is called the dynamic facility layout problem (DFLP). In this paper, hybrid ant systems (HASs) are developed to solve the DFLP. To test the performance of the meta-heuristics, two data sets taken from the literature are used in the analysis. The results show that the HASs are efficient techniques for solving the DFLP. More importantly, HASs found new best solutions for more than one-half of all the test problems.
Description:
Today's consumer market demands that manufacturers must be competitive. This requires the efficient operation of manufacturing plants and their ability to quickly respond to changes in product mix and demand. In addition, studies show that material-handling cost make up between 20 and 50 percent of the total operating cost. Therefore, this paper considers the problem of arranging and rearranging, when there are changes in product mix and demand, manufacturing facilities such that the sum of material handling and rearrangement costs is minimized. This problem is called the dynamic facility layout problem (DFLP). In this paper, hybrid ant systems (HASs) are developed to solve the DFLP. To test the performance of the meta-heuristics, two data sets taken from the literature are used in the analysis. The results show that the HASs are efficient techniques for solving the DFLP. More importantly, HASs found new best solutions for more than one-half of all the test problems.
