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Dyeing scheduling optimization in a multi-machine system with resource constraints
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Dyeing scheduling optimization in a multi-machine system with resource constraints
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Dyeing scheduling optimization in a multi-machine system with resource constraints
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Journal Article
Dyeing scheduling optimization in a multi-machine system with resource constraints
2024
Overview
Water consumption is one of the most important concerns for a textile dyeing company in the era of global energy revolution. Different from the traditional production scheduling which focuses on the production efficiency improvement, the dyeing scheduling emphasizes the constraints of resource consumption. Besides, different from the traditional production scheduling where the task relevance is seldomly considered, the colour depth heavily impacts the water consumption and the dyeing scheduling results, which aggravates the uncertainty and complexity when modelling the dyeing scheduling optimization. Therefore, how to select proper dyeing orders among a large number of orders and schedule them for the purpose of generating more profit is challenging. To address the above issue, an optimization model with objective of maximizing profit and consideration of water consumption, delivery due time, and machine capacity, is built, and genetic algorithm is adopted to solve the problem. A numeric experiment is conducted to validate the effectiveness of the proposed method.
Publisher
IOP Publishing
