By the same authors

Process Planning and Scheduling Optimisation with Alternative Recipes

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Publication details

Journalat - Automatisierungstechnik
DateAccepted/In press - 5 Dec 2019
DateE-pub ahead of print - 22 Jan 2020
DatePublished (current) - 25 Feb 2020
Issue number2
Volume68
Early online date22/01/20
Original languageEnglish

Abstract

This paper considers an application of a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes, to a real-world chemical plant. The problem is optimised using a multi-objective genetic algorithm with customised mutation and elitism operators that minimises both the total production time and the produced commodity surplus. The algorithm evaluation is performed with both random and historic manufacturing orders. The latter demonstrated that the proposed system can lead to more than 10\% makespan improvements in comparison with human operators.

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    Research areas

  • Multi-objective job-shop scheduling, Process manufacturing optimisation, Multi-objective genetic algorithms

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