Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/289018 
Year of Publication: 
2020
Citation: 
[Journal:] Journal of Business Economics [ISSN:] 1861-8928 [Volume:] 90 [Issue:] 9 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2020 [Pages:] 1383-1407
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
In energy-oriented lot-sizing and scheduling research, it is often assumed that minimizing energy costs automatically leads to an improvement of the ecological footprint of a company, i.e., lower carbon dioxide emissions. More precisely, a close to one (positive) correlation between energy costs and carbon dioxide emissions is often supposed. In this contribution, we show that this conjecture does not always hold true due to fluctuating carbon dioxide emissions over the whole day. Therefore, we present a real-world business case study, combining lot-sizing and machine scheduling under time-varying electric energy costs and carbon dioxide emissions in a mixed integer optimization model; in this context, we also consider on-site power generation. The interplay between all these aspects is demonstrated via a numerical analysis.
Subjects: 
Energy costs
Carbon dioxide emissions
Multi-objective production planning
Sustainable manufacturing
C610
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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