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Selection of Resource for Re-assignment of a Job Due to Break Down Failure Under Agent Based Holonic Manufacturing Environment

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Recent Advances in Intelligent Information Systems and Applied Mathematics (ICITAM 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 863))

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Abstract

Selection of resource for re-assignment of a job due to break down failure under holonic manufacturing environment is very important activity especially while the decision is to make under conflicting subjective criteria. Due to the multiple conflicting criteria and their complexity, selection of proper resource can be considered as a multi criteria decision-making (MCDM) problem. This analysis aims to provide a rationally new approach for resource evaluation and selection that might be a suitable surrogate of the existing methodologies. This paper explores an evaluation algorithm capable of considering subjective criteria. The proposed methodology is illustrated with a suitable example. In the methodology, the subjective measures of performance rating and importance weight are integrated using the proposed logical technique for determination of respective Resource Selection Index (MSI). Resources are ranked in the descending order of their respective RSI values and the resource associated with the highest MSI value is selected as the best one. Finally, the proposed technique is verified with a conventional MCDM tool. This shows that the proposed technique is very simple but extensively effective and extremely applicable in selection of resource under holonic manufacturing environment.

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Correspondence to Bipradas Bairagi .

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Dutta, S., Bairagi, B., Kanti Jana, T. (2020). Selection of Resource for Re-assignment of a Job Due to Break Down Failure Under Agent Based Holonic Manufacturing Environment. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_43

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