A HEURISTIC MODELING FOR A DYNAMIC AND GOAL PROGRAMING IN PRODUCTION PLANNING OF CONTINUOUS MANUFACTURING SYSTEMS

摘要

At the first sight it seems that advanced operation research is not used enough in continuous production systems as comparison with mass production, batch production and Job shop systems, but really in a comprehensive evaluation the advanced operation research techniques can be used in continuous production systems in developing countries very widely, because of initial inadequate plant layout, stage by stage development of production lines, the purchase of buying second hand machineries from various countries, plurality of customers. The present paper is a case study of production system planning for a chemical company in which the above mentioned conditions are almost present. The goals and constraints in this issue are as follows: 1. Minimizing deviation of customer's requirements. 2. Maximizing the profit. 3. Minimizing the frequencies of changes in formula Production. 4. Minimizing the inventory of final products. 5. Balancing the production sections with regard to rate in production. 6. Limitation in inventory of raw material. The present situation is in such a way that various techniques such as goal programming, linear programming and dynamic programming can be used. But dynamic production programming issues are divided into two categories, at first one with limitation in production capacity and another with unlimited production capacity. For the first category, a systematic and acceptable solution has not been presented yet. Therefore in this paper an innovative method is used to convert the dynamic situation to a zero-one model. At last this issue is changed to a goal programming model with non-linear limitations with the use of GRG algorithm and that's how it is solved.