Effect of lead time prediction accuracy in trust-based resource sharing
Nowadays, challenges are changing production facilities: decentralized production networks are replacing centralized organizations to remain competitive. This paper investigates a resource sharing approach where matching resource offers and requests are made by an intermediate platform. One of the m...
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Published in | IFAC-PapersOnLine Vol. 54; no. 1; pp. 1126 - 1131 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2021
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Subjects | |
Online Access | Get full text |
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Summary: | Nowadays, challenges are changing production facilities: decentralized production networks are replacing centralized organizations to remain competitive. This paper investigates a resource sharing approach where matching resource offers and requests are made by an intermediate platform. One of the main pillars of collaboration is to keep promises, especially about deadlines: in the presented model, facilities could rate each other based on trustfulness and choose from offers based on this setting. Lead time prediction accuracy has a direct effect on the real processing intervals: if the prediction was accurate, the deadline could be met, which results in good ratings and a higher possibility to win more jobs. In the paper, effect of lead time prediction accuracy is investigated in trust-based resource sharing, and the performance of facilities is compared with agent-based simulation. |
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ISSN: | 2405-8963 2405-8963 |
DOI: | 10.1016/j.ifacol.2021.08.132 |