文章基本信息

标题：Optimum Scheduling Under Batch Failure Scenario
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作者：Anand P. Dhanwani ; Meka Srinivasarao ; Jalesh L. Purohit 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：1
页码：480-485
DOI：10.1016/j.ifacol.2016.03.100
语种：English
出版社：Elsevier
摘要：AbstractMulti-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.
关键词：KeywordsMulti productMaximum productionoptimal schedulingWaste water generationPareto optimal curveBatch failures