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Efficient Dispatching Rules Based on Data Mining for the Single Machine Scheduling Problem

Authors

Mohamed Habib Zahmani1, Baghdad Atmani2 and Abdelghani Bekrar3, 1University of Mostaganem, Algeria, 2University of Oran 1, Algeria and 3University of Valenciennes and Hainaut-Cambresis, France

Abstract

In manufacturing the solutions found for scheduling problems and the human expert’s experience are very important. They can be transformed using Artificial Intelligence techniques into knowledge and this knowledge could be used to solve new scheduling problems. In this paper we use Decision Trees for the generation of new Dispatching Rules for a Single Machine shop solved using a Genetic Algorithm. Two heuristics are proposed to use the new Dispatching Rules and a comparative study with other Dispatching Rules from the literature is presented.

Keywords

Data Mining, Decision Trees, Dispatching Rules, Single Machine, Scheduling, Genetic Algorithm

Full Text  Volume 5, Number 15