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

机译:根据基于Agent的Holonic Manufactoring环境下分解失败的重新分配工作的资源选择

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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.
机译:在Holoinal Manufacturing环境下重新分配工作的重新分配资源的选择是非常重要的活动,特别是在决定下在冲突的主观标准下进行。由于具有多种冲突的标准及其复杂性,可以将适当的资源选择作为多标准决策(MCDM)问题。该分析旨在为资源评估和选择提供合理的新方法,这可能是现有方法的合适代理。本文探讨了能够考虑主观标准的评估算法。所提出的方法用合适的例子说明。在方法中,使用所提出的逻辑技术来确定各种资源选择索引(MSI)的逻辑技术集成了性能等级和重要性重量的主观测量。资源以各自的RSI值的降序排列,并且选择与最高MSI值相关联的资源作为最佳选择。最后,用传统的MCDM工具验证所提出的技术。这表明所提出的技术非常简单,但在整理制造环境下选择资源的选择非常有效,非常适用。

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