文章基本信息

标题：Short-term Multiproduct Batch Scheduling Considering Storage Features ⁎
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作者：Ouyang Wu ; Giancarlo Dalle Ave ; Iiro Harjunkoski 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：11794-11799
DOI：10.1016/j.ifacol.2020.12.688
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, modeling of storage constraints and material transfer are considered for short-term batch scheduling. The key features of storage and quality checks are inspired from a case study of a multiproduct batch plant. The case study presents two strategies for assigning batch orders to each individual storage tank during batch production, which are modeled in the proposed scheduling formulations as two scenarios of storage policies. A continuous-time MILP formulation is applied for the assignment and sequencing of batches in the multistage processes. The proposed approach is tested using the case study problems, and the computational results illustrate the performance of the scheduling formulations.
关键词：KeywordsStorage policiesMultiproduct batch productionPrecedence-based MILP models