Sustainable scheduling: Development and application of an integrated method combining NEH heuristic and life cycle assessment

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY

International Journal of Sustainable Engineering Pub Date : 2021-08-31 DOI:10.1080/19397038.2021.1970853

Gabriel Prado, Da Silva, A. Christoforo, José Augusto de Oliveira, E. Toso, D. A. L. Silva

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引用次数: 3

Abstract

ABSTRACT This paper has developed a model to perform more sustainable scheduling in manufacturing operations based on the combination of makespan, profit margin, and environmental impact indicators. A case study was designed to run the developed model in the production of automotive identification labels. The proposed model combined the NEH heuristics for a flow-shop production scheduling problem followed by the cradle-to-gate Life Cycle Assessment of the labels, in order to find scheduling solutions for minimising major environmental impacts and aggregate more value to the production flow. The main results showed that the proposed model was able to increase the company’s schedule performance. For the scenario analysis, two-hybrid heuristics were compared: NEHS-1 and NEHS-2, and both showed better schedule results than the classical NEH. However, the best results were presented by the NEHS-2, and it should be further improved with local search heuristics, in future research.

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可持续调度:NEH启发式与生命周期评估相结合的综合方法的开发与应用

摘要本文基于完工时间、利润率和环境影响指标的组合，开发了一个在制造运营中执行更可持续调度的模型。设计了一个案例研究，以在汽车识别标签的生产中运行所开发的模型。所提出的模型结合了流程车间生产调度问题的NEH启发式算法，然后对标签进行从摇篮到大门的生命周期评估，以找到将主要环境影响降至最低的调度解决方案，并为生产流程带来更多价值。主要结果表明，所提出的模型能够提高公司的进度绩效。对于场景分析，比较了两种混合启发式算法：NEHS-1和NEHS-2，两者都显示出比经典NEH更好的调度结果。然而，NEHS-2给出了最好的结果，在未来的研究中，它应该通过局部搜索启发法进行进一步改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Sustainable Engineering GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-

CiteScore

7.70

自引率

0.00%

发文量