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Mixed Integer Linear Programming Based Approaches for Medium-Term Planning and Scheduling in Multiproduct Multistage Continuous Plants

Aguirre, AM; Liu, S; Papageorgiou, LG; (2017) Mixed Integer Linear Programming Based Approaches for Medium-Term Planning and Scheduling in Multiproduct Multistage Continuous Plants. Industrial and Engineering Chemistry Research , 56 (19) pp. 5636-5651. 10.1021/acs.iecr.6b04958. Green open access

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Abstract

This paper addresses the planning and scheduling problem of a multiproduct multistage continuous plant by three novel MILP-based (mixed integer linear programming) models. These models combine a TSP (traveling salesman problem) formulation with the main ideas of general precedence and unit-specific general precedence concepts to provide hybrid discrete/continuous time representations of the system. Also, an efficient solution approach involving rolling horizon and iterative-improvement algorithm is derived for solving medium-size instances of the problem. Results analyses for different model’s parameters demonstrate the benefits of the new formulations and the effectiveness of the solution approach presented in this work.

Type: Article
Title: Mixed Integer Linear Programming Based Approaches for Medium-Term Planning and Scheduling in Multiproduct Multistage Continuous Plants
Open access status: An open access version is available from UCL Discovery
DOI: 10.1021/acs.iecr.6b04958
Publisher version: http://doi.org/10.1021/acs.iecr.6b04958
Language: English
Additional information: Copyright © 2017 American Chemical Society. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Engineering, Chemical, Engineering, CONTINUOUS-TIME FORMULATION, WET-ETCH STATION, SEQUENCE-DEPENDENT CHANGEOVERS, CONTINUOUS PROCESSING UNITS, PACK PRODUCTION PROCESSES, HYBRID GENETIC ALGORITHM, MILP-BASED APPROACH, BATCH PLANTS, FLOW-SHOP, PHARMACEUTICAL-INDUSTRY
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1567700
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