Article (Scientific journals)
The assembly of printed circuit boards: A case with multiple machines and multiple board types
Crama, Yves; Flippo, Olaf E.; Van de Klundert, Joris et al.
1997In European Journal of Operational Research, 98, p. 457-472
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Keywords :
PCB; assembly; feeder rack
Abstract :
[en] In this paper a typical situation arising in the assembly of printed circuit boards is investigated. The planning problem we face is how to assemble boards of different types using a single line of placement machines. From a practical viewpoint, the multiplicity of board types adds significantly to the complexity of the problem, which is already very hard to solve in the case of a single board type. In addition, relatively few studies deal with the multiple board type case. We propose a solution procedure based on a hierarchical decomposition of the planning problem. An important subproblem in this decomposition is the so-called feeder rack assignment problem. By taking into account as much as possible the individual board type characteristics (as well as the machine characteristics) we heuristically solve this problem. The remaining subproblems are solved using constructive heuristics and local search methods. The solution procedure is tested on real-life instances. It turns out that, in terms of the makespan, we can substantially improve the current solutions.
Disciplines :
Quantitative methods in economics & management
Production, distribution & supply chain management
Author, co-author :
Crama, Yves  ;  Université de Liège > HEC-Ecole de gestion : UER > Recherche opérationnelle et gestion de la production
Flippo, Olaf E.
Van de Klundert, Joris
Spieksma, Frits C.R.
Language :
English
Title :
The assembly of printed circuit boards: A case with multiple machines and multiple board types
Publication date :
1997
Journal title :
European Journal of Operational Research
ISSN :
0377-2217
eISSN :
1872-6860
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
98
Pages :
457-472
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 21 October 2016

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