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A Multi-Exchange Neighborhood Search Heuristic for an Integrated Clustering and Machine Setup Model for PCB Manufacturing

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dc.creator Magazine, Michael J.
dc.creator Polak, George G.
dc.creator Sharma, Dushyant
dc.date 2004-05-28T19:28:08Z
dc.date 2004-05-28T19:28:08Z
dc.date 2001-03
dc.date.accessioned 2013-10-09T02:38:27Z
dc.date.available 2013-10-09T02:38:27Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5208
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description In the manufacture of printed circuit boards, electronic components are attached to a blank board by one or more pick-and-place machines. Frequent machine setups, though time consuming, can reduce overall processing time. We consider the Integrated Clustering and Machine Setup (ICMS) model, which incorporates this tradeoff between processing time and setup time and seeks to minimize the sum of the two. Solving this model to optimality is intractable for very large-scale instances. We show that ICMS is NP-hard and consequently propose and test a heuristic based on multi-exchange neighborhood search structures. Initial numerical results are very encouraging. Keywords: Printed circuit board assembly, feeder slot assignment, product clustering, integer programming, computational complexity, heuristics.
dc.format 1946141 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 352-01
dc.title A Multi-Exchange Neighborhood Search Heuristic for an Integrated Clustering and Machine Setup Model for PCB Manufacturing
dc.type Working Paper


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