PRODUCT OPTIMIZATION BY SCHEDULING FORMULATION & OPTIMAL STORAGE STRATEGY FOR MULTIPRODUCT BATCH PLANTS

Abstract

This contribution involves the formulation that addresses the minimization of both fresh water intake and waste water generation simultaneously. It optimizes the product and reactor utilization. The production optimization for this problem is based on batch product scheduling of MINLP formulation using commercial solver GAMS 24.1.1. The main objective is to enhance the profitability, minimizing waste generation and reducing fresh water intake. This case study shows that the number of batches within the same source of available resources can be increased by 12.24% and the profitability can be increased to 13.36%. On the other hand waste generation is reduced to almost 33% because of recycle and re-use opportunities. This suggests that by optimizing production, fresh water intake and waste water generation in the same scheduling formulation will minimize the operating cost and reduce the environmental impact significantly. The comparative study has been considered whether to have individual tanks of low and high COD nearer to each reactor or to have two centralized tanks, one for each low and high COD. The results of same have shown that the centralized (bigger) tanks occupies significant low space and they are highly economical. The efficacy of the results presented are demonstrated by taking a case study of pharmaceutical industry located in GIDC Vadodara, India.