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Long/short-term uti...
Long/short-term utility aware optimal selection of manufacturing service composition towards Industrial Internet platform
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- Zhang, Yongping (författare)
- School of Automation Science and Electrical Engineering, Beihang University, 12633 Beijing China
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- Tao, Fei (författare)
- School of Automation Science and Electrical Engineering, Beihang University, 12633 Beijing China
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- Liu, Yang, 1978- (författare)
- Linköpings universitet,Industriell miljöteknik,Tekniska fakulteten
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- Zhang, Pengyuan (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing China
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- Cheng, Ying (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing China
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- Zuo, Ying (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing China
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2019
- 2019
- Engelska.
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Ingår i: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 15:6, s. 3712-3722
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- As numerous Industrial Internet platforms emerge, manufacturing services are shared among multiple stakeholders more frequently than ever. The optimal selection of shared manufacturing service composition (MSC) should both promise the task completion and the stakeholders’ satisfaction. However, as commercial entities, stakeholders concentrate on not only the temporary benefits but also the long-term acquisitions. Most of the existing MSC problems neglect the stakeholders’ prospect on the manufacturing service sharing. This leads to the disappointment and dissatisfaction of the stakeholders with long-term expectations, who will abandon the participation in Industrial Internet platform. Therefore, the long/short-term preferences of various stakeholders should be satisfied and balanced. In this paper, the long/short-term preferences of three sides (provider, consumer, and operator) are discussed. And the models considering short-term utility of a consumer and long-term utility of providers, are established. The potential tasks assigned to providers are taken into account to estimate the long-term utility if the current task is accepted. Then, to solve the bi-objective optimization problem, an improved Non-dominated Sorting Genetic Algorithm-II algorithm, combining Tabu search and improved K-means mechanism, is proposed to find the optimal solution set. Finally, the effectiveness of the method is verified by the experimental results in terms of solution diversity, astringency and stability, in which a finding is further observed that the changes of consumers’ preferences have little impact on the long-term utility of providers.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Stakeholders; Internet; Task analysis; Quality of service; Optimization; Three-dimensional printing; Industrial Internet platform; Long/short-term utility; Manufacturing service composition; Non-dominated Sorting Genetic Algorithm-II
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