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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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 54; no. 1; pp. 1126 - 1131
Main Authors Szaller, Ádám, Kádár, Botond
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2021
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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.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2021.08.132