Selection of Resource for Re-assignment of a Job Due to Break Down Failure Under Agent Based Holonic Manufacturing Environment
| Autor: | T. K. Jana, Soumik Dutta, Bipradas Bairagi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
SIMPLE (military communications protocol) Operations research Computer science Evaluation algorithm 02 engineering and technology Multiple-criteria decision analysis 020901 industrial engineering & automation Resource (project management) Order (exchange) Multi criteria 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Performance rating Selection (genetic algorithm) |
| Zdroj: | Recent Advances in Intelligent Information Systems and Applied Mathematics ISBN: 9783030341510 ICITAM |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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