Algorithmical approaches to business process design

Algorithmical approaches to business process design

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Article ID: iaor20021524
Country: United Kingdom
Volume: 28
Issue: 13
Start Page Number: 1253
End Page Number: 1275
Publication Date: Nov 2001
Journal: Computers and Operations Research
Authors: ,
Keywords: programming: integer, programming: branch and bound, heuristics
Abstract:

The paper introduces formal models of the business process design problem, which can be used to analytically determine optimal designs with respect to various objective functions. Specifically, we consider additive and max–min type functions. Three solution techniques for such models are analyzed: mathematical programming, a branch and bound method, and genetic algorithms. Computational experiments indicate that among those methods, the branch and bound method is best suited to solve problems of realistic size.

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