文献类型：期刊文献

英文题名：Plant-wide optimal scheduling of multi-grade PET production with time window constraints: A hybrid discrete/continuous-time optimization formulation

作者：Du, Chenge[1];Dai, Xin[1];Wang, Zhenlei[1,2];Fan, Chen[1,2];Chang, Hongtao[3]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Shanghai 200237, Peoples R China;[3]Sinopec Yizheng Chem Fibre Co Ltd, Yizheng 211900, Jiangsu, Peoples R China

年份：2024

卷号：186

外文期刊名：COMPUTERS & CHEMICAL ENGINEERING

收录：;EI(收录号：20241615925986);WOS:【SCI-EXPANDED(收录号:WOS:001229911300001)】；

基金：This work was supported by the National Key Research and Devel-opment Program of China (2022YFB3305900) , National Natural Sci-ence Foundation of China (Key Program: 62136003) , National Natural Science Foundation of China (62073142, 62173147) and the Funda-mental Research Funds for the Central Universities.

语种：英文

外文关键词：PET industry; Production scheduling; Sequence-dependent changeover; Time window constraints; Multi-objective optimization

摘要：Plant -wide scheduling optimization of multi -grade PET production is of great significance for increasing the economic benefits and market competitiveness of PET plants. However, dealing with changeover operations between the production of products with different grades is challenging due to multiple timing limitations in the actual process. This study proposes a novel plant -wide scheduling optimization model for multigrade PET production. The model focuses on three major categories of products, namely PET fibers, PET chips, and bottle -grade PET. Considering the impacts of nights and weekends on the production, a hybrid discrete/continuous-time representation method is developed to handle changeover operations with time window constraints. Afterward, a multi -objective optimization framework for multi -grade PET production is formulated to balance economic benefits and production stability. Case studies on a real -world PET plant are presented to verify the effectiveness and applicability of the proposed method.