Abstract
In the context of lot-sizing and scheduling, minimizing energy consumption is a typical criterion for improving a company’s environmental footprint. In the literature, however, it is insufficiently questioned whether minimizing energy consumption actually also minimizes energy-related emissions. In this paper, we show that such a positive one-to-one relationship does not always hold. In fact, when energy prices fluctuate over time, energy costs may additionally conflict with these two goals. To demonstrate this, we develop a three-criteria lot-sizing and scheduling problem and derive the three-dimensional Pareto front using the elastic constraint method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bänsch, K., Busse, J., Meisel, F., Rieck, J., Scholz, S., Volling, T., & Wichmann, M. (2021). Energy-aware decision support models in production environments: A systematic literature review. Computers and Industrial Engineering, 159, 1–27. https://doi.org/10.1016/j.cie.2021.107456
Ding, J., Song, S., & Wu, C. (2016). Carbon-efficient scheduling of flow shops by multi-objective optimization. European Journal of Operational Research, 248, 758–771. https://doi.org/10.1016/j.ejor.2015.05.019
Gu, W., Li, Z., Dai, M., & Yuan, M. (2021). An energy-efficient multi-objective permutation flow shop scheduling problem using an improved hybrid cuckoo search algorithm. Advances in Mechanical Engineering, 13, 1–15. https://doi.org/10.1177/16878140211023603
EUPD Research. https://www.eupd-research.com/co2-emissionen
Schulz, S., & Linß, F. (2020). Time-dependent emission minimization in sustainable flow shop scheduling. In Operations Research Proceedings 2019 (pp. 583–589). https://doi.org/10.1007/978-3-030-48439-2_71
Zhang, H., Zhao, F., Fang, K., & Sutherland, J. (2014). Energy-conscious flow shop scheduling under time-of-use electricity tariffs. CIRP Annals, 63, 37–40. https://doi.org/10.1016/j.cirp.2014.03.011
Dellnitz A., Braschczok D., Ostmeyer J., Hilbert M., & Kleine A. (2020). Energy costs vs. carbon dioxide emissions in short-term production planning: A business case study. Journal of Business Economics, 90, 1383–1407. https://doi.org/10.1007/s11573-020-01000-1
Albadi, M., & El-Saadany, E. (2008). A summary of demand response in electricity markets. Electric Power Systems Research, 78, 1989–1996. https://doi.org/10.1016/j.epsr.2008.04.002
Ehrgott, M. (2005). Multicriteria optimization. Springer.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Hilbert, M., Dellnitz, A., Kleine, A. (2023). Eco-Energy-Efficient Simultaneous Lot-Sizing and Scheduling: A Tri-criteria Problem. In: Grothe, O., Nickel, S., Rebennack, S., Stein, O. (eds) Operations Research Proceedings 2022. OR 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-24907-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-031-24907-5_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-24906-8
Online ISBN: 978-3-031-24907-5
eBook Packages: Business and ManagementBusiness and Management (R0)