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Energy-carbon footprint optimization in sequence-dependent production scheduling

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  • Trevino-Martinez, Samuel
  • Sawhney, Rapinder
  • Shylo, Oleg

Abstract

Under the panorama of increasing energy costs and environmental policies driven by global warming concerns, this research is aimed at creating an energy optimal production schedule model to minimize energy costs and reduce carbon footprint emissions. The proposed model is built under the context of a sequence-dependent single machine scheduling problem. Moreover, the scheduling decisions are assumed to be affected by independent time-of-use electricity prices and carbon footprint environmental policies forced by either corporate or governmental institutions. To this end, a Low Energy-Carbon Cost Sequence Dependent Job Scheduling optimization model (LEC-SDJS) is developed under a Mixed Integer Linear Programming formulation. Preliminary results show the value of the model when compared to classical scheduling optimization approaches and job scheduling heuristics. Research directions and proposed validation are finally discussed.

Suggested Citation

  • Trevino-Martinez, Samuel & Sawhney, Rapinder & Shylo, Oleg, 2022. "Energy-carbon footprint optimization in sequence-dependent production scheduling," Applied Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:appene:v:315:y:2022:i:c:s0306261922003658
    DOI: 10.1016/j.apenergy.2022.118949
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    1. Allahverdi, Ali, 2015. "The third comprehensive survey on scheduling problems with setup times/costs," European Journal of Operational Research, Elsevier, vol. 246(2), pages 345-378.
    2. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    3. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    4. World Bank & Ecofys & Vivid Economics, "undated". "State and Trends of Carbon Pricing 2016," World Bank Publications - Reports 25160, The World Bank Group.
    5. Ignacio Zabalza & Sabina Scarpellini & Alfonso Aranda & Eva Llera & Alberto Jáñez, 2013. "Use of LCA as a Tool for Building Ecodesign. A Case Study of a Low Energy Building in Spain," Energies, MDPI, vol. 6(8), pages 1-21, August.
    6. Kurz, Mary E. & Askin, Ronald G., 2004. "Scheduling flexible flow lines with sequence-dependent setup times," European Journal of Operational Research, Elsevier, vol. 159(1), pages 66-82, November.
    7. Garza-Reyes, Jose Arturo & Kumar, Vikas & Chaikittisilp, Sariya & Tan, Kim Hua, 2018. "The effect of lean methods and tools on the environmental performance of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 200(C), pages 170-180.
    8. Guohua Wan & Xiangtong Qi, 2010. "Scheduling with variable time slot costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(2), pages 159-171, March.
    9. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    10. Rapinder Sawhney & Pamuk Teparakul & Aruna Bagchi & Xueping Li, 2007. "En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 1(3), pages 238-260.
    11. Luo, Hao & Du, Bing & Huang, George Q. & Chen, Huaping & Li, Xiaolin, 2013. "Hybrid flow shop scheduling considering machine electricity consumption cost," International Journal of Production Economics, Elsevier, vol. 146(2), pages 423-439.
    12. Cheng-Hsiang Liu, 2016. "Mathematical programming formulations for single-machine scheduling problems while considering renewable energy uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1122-1133, February.
    13. Mansouri, S. Afshin & Aktas, Emel & Besikci, Umut, 2016. "Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption," European Journal of Operational Research, Elsevier, vol. 248(3), pages 772-788.
    14. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
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