| Title |
Data driven value creation in industrial services including remanufacturing |
| ID_Doc |
17644 |
| Authors |
Stucki, M; Meierhofer, J; Gal, B; Gallina, V; Eisl, S |
| Title |
Data driven value creation in industrial services including remanufacturing |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.procs.2024.02.043 |
| Abstract |
In the era of twin transition companies face complex challenges. Economical resource usage and efficiency are particularly important in the manufacturing sector. Product-service systems are seen a promising solution that can meet the expectations regarding efficiency in a sustainable way. However, there is a huge potential regarding the evaluation of sustainable value creation. The paper focuses on the value creation process in product-service systems including offers with remanufactured products. Against this background, the goal of this paper is to describe how data driven industrial services can create sustainable value in the meaning of the triple bottom line. Based on previous work, a quantitative model for the assessment and optimization of this value creation is extended to include additional remanufacturing strategies. The value optimization model integrates the different perspectives of provider, custumer and society. The numerical evaluation of this model for a specific application case shows that economic and ecological value creation can be jointly achieved and optimized, and which service arrangements lead to this optimization. |
| Author Keywords |
product-service system; remanufacturing; sustainable value creation; data driven decision making |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001196800602027 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Industrial; Engineering, Manufacturing |
| Research Area |
Computer Science; Engineering |
| PDF |
https://doi.org/10.1016/j.procs.2024.02.043
|