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Production planning and scheduling: Fuzzy and crisp approaches. (English) Zbl 0965.90018
Zimmermann, Hans-Jürgen (ed.), Practical applications of fuzzy technologies. Boston, MA: Kluwer Academic Publishers. Handb. Fuzzy Sets Ser. 6, 479-529 (1999).
Summary: We survey some of the main Crisp and Fuzzy (Computational) Intelligence works, which have been developed for the solution of the real world production planning and scheduling problems. Development of better production planning and scheduling can help many industries, since timely deliveries and good quality of products are important for customers, as well as the special goals of manufacturers, e.g., the reduction of the inventory costs, improvement of the utilization of the productive capacity, synchronization of the different sections of the plants, etc. However, attaining an optimal scheduling of production in different industries is very hard, because of the conflicts among different goals. The examples of such conflicting goals are: the optimization of the production rate, production quality, intra-order production consistency, etc. Within the last thirty years or so, it has been found that fuzzy set theory incorporated with fuzzy cluster analysis is a suitable tool to analyse and diagnose these sorts of complicated problems.
For the entire collection see [Zbl 0931.00015].

MSC:
90B30 Production models
03E72 Theory of fuzzy sets, etc.
90B35 Deterministic scheduling theory in operations research
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