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A Multi-Objective Optimization Approach for Multi-Head Beam-Type Placement Machines


S.A. Torabi


affiliation not provided to SSRN

M. Hamedi


University of Tehran

J. Ashayeri


Tilburg University - Department of Econometrics & Operations Research

December 1, 2010

CentER Discussion Paper Series No. 2010-128

Abstract:     
This paper addresses a highly challenging scheduling problem in the field of printed circuit board (PCB) assembly systems using Surface Mounting Devices (SMD). After describing some challenging optimization sub-problems relating to the heads of multi-head surface mounting placement machines, we formulate an integrated multi-objective mathematical model considering of two main sub-problems simultaneously. The proposed model is a mixed integer nonlinear programming one which is very complex to be solved optimally. Therefore, it is first converted into a linearized model and then solved using an efficiƫnt multi-objective approach, i.e., the augmented epsilon constraint method. An illustrative example is also provided to show the usefulness and applicability of the
proposed model and solution method.

Number of Pages in PDF File: 15

Keywords: PCB assembly, Multi-head beam-type placement machine, Multi-objective mathematical programming, Augmented epsilon-constraint method

JEL Classification: C6, M110

working papers series


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Date posted: January 10, 2011  

Suggested Citation

Torabi, S.A., Hamedi, M. and Ashayeri, J., A Multi-Objective Optimization Approach for Multi-Head Beam-Type Placement Machines (December 1, 2010). CentER Discussion Paper Series No. 2010-128. Available at SSRN: http://ssrn.com/abstract=1736560 or http://dx.doi.org/10.2139/ssrn.1736560

Contact Information

S.A. Torabi
affiliation not provided to SSRN ( email )
M. Hamedi
University of Tehran ( email )
Amirabad e shomali, kuye daneshgah e Tehran
Tehran, 5433174616
Iran
J. Ashayeri (Contact Author)
Tilburg University - Department of Econometrics & Operations Research ( email )
P.O. Box 90153
5000 LE Tilburg
Netherlands
+31 13 466 2176 (Phone)
+31 13 466 3280 (Fax)
HOME PAGE: http://www.uvt.nl/webwijs/english/show.html?anr=701300&lang=en
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