Optimum Scheduling Under Batch Failure Scenario

Abstract

Abstract Multi-product batch plants generally face problems of strategic planning cycle, lack of an efficient production planning and scheduling decisions and improper waste water handling. This environment often results in low productivity, huge waste generation, high inventory costs and low capacity utilization. Hence, for these plants maximization of production and minimization of waste generation is highly desirable. In this work an MINLP based optimization model is used for rescheduling of multiproduct batch plants in the presence of batch failure. The waste generation increases, both in terms of quantity and quality, with batch failures. This information helps us in reactive scheduling of the batch production to meet the regularity norms. The efficacy of the proposed MINLP formulation depends on batch failure and it is demonstrated for an industrial pesticides process plant with hypothetical batch failure scenario from discharge quality and quantity view points.