Fuzzy system models for aggregate scheduling analysis
Aggregate scheduling system analysis is presented in order to bring to the surface the hidden rules of an operating scheduling system. For this purpose, a parametric fuzzy system modelling approach is proposed in order to: (1) analyse the behaviour patterns of an operating scheduling system, i.e., to identify the bottle-neck variables as well as important variables and their fuzzy information granules of effectiveness; and (2) provide system performance prediction, i.e., to forecast certain measures of performance indicators, for example, tardiness measure value, for a new job order when and if the new job orders are processed under the current operating rules. The purpose of this paper is not to determine optimal detailed scheduling sequences; but rather to investigate and analyse complex fuzzy interactions of variables affecting a scheduling system and its performance measure under current operating conditions, i.e,, as implied above, to expose the "hidden rules" that are operating under day to day implementation of the company procedures by the schedulers of the company. (C) 1998 Published by Elsevier Science Inc. All rights reserved.
fuzzy system models aggregate scheduling variables performance prediction bottleneck steelmaking application