NDLI: A new approach for workshop design

Content Provider	Springer Nature Link
Author	Yalaoui, Naim Mahdi, Halim Amodeo, Lionel Yalaoui, Farouk
Copyright Year	2009
Abstract	In this paper we solve a combined group technology problem with a facility layout problem (FLP). This new approach is called T-FLP. We have developed a hybrid algorithm containing three main steps. The first one, called MPGV (Machine Part Grouping with Volume) is a decomposition method that can create families of product and machine groups based on a volume data matrix. The second one consists on assigning machines to fixed locations, using as a constraint, the solution of the MPGV. This problem is solved as a Quadratic Assignment Problem (QAP). In the third step, we make a global evaluation of all the solutions. A loop on cells is performed using a minimum and maximum number of cells. This loop can choose the appropriate number of cells based on the best solution of a global evaluation. The hybrid algorithm is implemented with two different rules for taking into account the constraint of the MPGV solution. This has generated two methods called YMAY1 and YMAY2. In the MPGV we use a data oriented genetic algorithm. The QAP is solved with an Ant Colony Optimization mixed with a Guided Local Search (ACOGLS). This method has been used to solve a real industrial case. For estimating the efficiency of our method, we have compared our results with an optimal solution obtained by complete enumeration (an exact method).
Starting Page	933
Ending Page	951
Page Count	19
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	22
Issue Number	6
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2009-12-31
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Group technology Genetic algorithm Ant colony optimization Guided local search Facility layout problem Quadratic assignment problem Control, Robotics, Mechatronics Production/Logistics/Supply Chain Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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