A study on ally searching in maintenance alliance based on relation web model

Bai-Zhan Xia, Jian Liu, De-Jie Yu and An-Mei Zhou

International Journal of Industrial and Systems Engineering, 2011, vol. 9, issue 4, 412-433

Abstract: Aiming at the risk aversion of adverse selection and efficiency improvement in maintenance ally searching, relation web and Mobile Agent are introduced into the study of maintenance ally searching. A maintenance ally searching method based on relation web model is proposed. First, the method decomposes complicated plant maintenance tasks, and then by setting up ally Searching Sub-Agent, the relation web model is mapped as properties, plans, behaviours and interactions of the Searching Sub-Agent. Based on the relation categories, shortest path, reliability and other definitions in relation to web model, a quantified evaluation method for acquaintance reliability and capability in maintenance alliance and ally searching strategy are designed. A solution for recommendation deadlock and dynamic management of Searching Sub-Agent is discussed. The ally searching system in maintenance alliance based on the above method is effectively applied in a plant overhaul of a partner petrochemical company.

Keywords: ally searching; relation web models; maintenance alliances; allies; risk aversion; adverse selection; efficiency improvements; mobile agents; plant maintenance; maintenance tasks; sub-agent properties; sub-agent plans; sub-agent behaviours; sub-agent interactions; relation categories; shortest path; acquaintance reliability; quantified evaluation; acquaintance capability; recommendation deadlock; dynamic management; plant overhaul; petrochemicals industry; China; industrial engineering; systems engineering. (search for similar items in EconPapers)
Date: 2011
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