A study on ally searching in maintenance alliance based on relation web model
Bai Zhan Xia, Jian Liu, De Jie Yu, An Mei Zhou · International Journal of Industrial and Systems Engineering · 2011
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.