Scheduling with Fuzzy Methods

Wolfgang Anthony Eiden ()
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Wolfgang Anthony Eiden: Darmstadt University of Technology

A chapter in Operations Research Proceedings 2004, 2005, pp 377-384 from Springer

Abstract: Abstract Nowadays, manufacturing industries — driven by fierce competition and rising customer requirements — are forced to produce a broader range of individual products of rising quality at the same (or preferably lower) cost. Meeting these demands implies an even more complex production process and thus also an appropriately increasing request to its scheduling. Aggravatingly, vagueness of scheduling parameters — such as times and conditions — are often inherent in the production process. In addition, the search for an optimal schedule normally leads to very difficult problems (NP-hard problems in the complexity theoretical sense), which cannot be solved efficiently. With the intent to minimize these problems, the introduced heuristic method combines standard scheduling methods with fuzzy methods to get a nearly optimal schedule within an appropriate time considering vagueness adequately.

Date: 2005
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DOI: 10.1007/3-540-27679-3_47

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