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Energy-efficient scheduling in manufacturing companies: A review and research framework
Open accessAbstract
Because sustainable scheduling is attracting increasing amounts of attention from many manufacturing companies and energy is a central concern regarding sustainability, the purpose of this paper is to develop a research framework for “energy-efficient scheduling” (EES). EES approaches are scheduling approaches that have the objective of improving energy efficiency. Based on an iterative methodology, we review, analyze, and synthesize the current state of the literature and propose a completely new research framework to structure the research field. In doing so, the three dimensions “energetic coverage”, “energy supply”, and “energy demand” are introduced and used to classify the literature. Each of these dimensions contains categories and attributes to specify energy-related characteristics that are relevant for EES. We further provide an empirical analysis of the reviewed literature and emphasize the benefits that can be achieved by EES in practice.
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Analyzing the past to prepare for the future
(2002) · MIS Quarterly · doi:10.5555/2017160.2017162 · Cited by 179
Cited by
Diez-Olivan, A., Del Ser, J., Galar, D., & Sierra, B. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.10.005 · Cited by 633
Lu, C., Gao, L., Li, X., Pan, Q., & Wang, Q. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.01.011 · Cited by 292
Bertolini, M., Leali, F., Mezzogori, D., & Renzi, C. (2023) · Sustainability · doi:10.3390/su15086884 · Cited by 2
Metadata
- Authors
- Gahm, C., Denz, F., Dirr, M., & Tuma, A.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 248
- Issue
- 3
- Pages
- 744-757
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W867003385
- Cited by
- 474
- References
- 1
- FWCI
- 59.16
- Type
- journal article
- Language
- en
- Open access
- green
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- Gahm, C., Denz, F., Dirr, M., & Tuma, A. (2016). Energy-efficient scheduling in manufacturing companies: A review and research framework. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2015.07.017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
