A resource portfolio model for equipment investment and allocation of semiconductor testing industry

A resource portfolio model for equipment investment and allocation of semiconductor testing industry

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Article ID: iaor2009322
Country: Netherlands
Volume: 179
Issue: 2
Start Page Number: 390
End Page Number: 403
Publication Date: Jun 2007
Journal: European Journal of Operational Research
Authors: , ,
Keywords: production, heuristics: genetic algorithms, investment
Abstract:

Profitable but risky semiconductor testing market has led companies in the industry to carefully seek to maximize their profits by developing a proper resource portfolio plan for simultaneously deploying resources and selecting the most profitable orders. Various important factors, such as resource investment alternatives, trade-offs between the price and speed of equipment and capital time value, further increase the complexity of the simultaneous resource portfolio problem. This study develops a simultaneous resource portfolio decision model as a non-linear integer programming, and proposes a genetic algorithm to solve it efficiently. The proposed method is employed in the context of semiconductor testing industry to support decisions regarding equipment investment alternatives (including new equipment procurement, rent and transfer by outsourcing, and phasing outing) for simultaneous resources (such as testers and handlers) and task allocation.

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