Integrating sustainability into production scheduling in hybrid flow-shop environments

Loading...
Thumbnail Image
Authors
Mokhtari-Moghadam, Ali
Pourhejazy, Pourya
Gupta, Deepak P.
Issue Date
2023-04-24
Type
Article
Language
en_US
Keywords
Energy consumption , Multi-objective optimization , Production management , Time-of-use electricity rates , Workers' flexibility
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract

Global energy consumption is projected to grow by nearly 50% as of 2018, reaching a peak of 910.7 quadrillion BTU in 2050. The industrial sector accounts for the largest share of the energy consumed, making energy awareness on the shop floors imperative for promoting industrial sustainable development. Considering a growing awareness of the importance of sustainability, production planning and control require the incorporation of time-of-use electricity pricing models into scheduling problems for well-informed energy-saving decisions. Besides, modern manufacturing emphasizes the role of human factors in production processes. This study proposes a new approach for optimizing the hybrid flow-shop scheduling problems (HFSP) considering time-of-use electricity pricing, workers' flexibility, and sequence-dependent setup time (SDST). Novelties of this study are twofold: to extend a new mathematical formulation and to develop an improved multi-objective optimization algorithm. Extensive numerical experiments are conducted to evaluate the performance of the developed solution method, the adjusted multi-objective genetic algorithm (AMOGA), comparing it with the state-of-the-art, i.e., strength Pareto evolutionary algorithm (SPEA2), and Pareto envelop-based selection algorithm (PESA2). It is shown that AMOGA performs better than the benchmarks considering the mean ideal distance, inverted generational distance, diversification, and quality metrics, providing more versatile and better solutions for production and energy efficiency.

Description
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
Citation
Mokhtari-Moghadam, A., Pourhejazy, P. & Gupta, D. Integrating sustainability into production scheduling in hybrid flow-shop environments. Environ Sci Pollut Res (2023). https://doi.org/10.1007/s11356-023-26986-3
Publisher
Springer Science and Business Media Deutschland GmbH
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
0944-1344
EISSN