Research on the support model of large equipment emergency spare parts under fuzzy demand

Journal of Industrial Engineering and Management JIEM, 2015 – 8(3): 658-673 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423 http://dx.doi.org/10.3926/jiem.1372 Research on the Support Model of Large Equipment Emergency Spare Parts under Fuzzy Demand Jianhua Yang, Zhichao Ma, Yang Song Donlinks School of Economics and Management University of Science and Technology Beijing (China) , , Received: January 2015 Accepted: April 2015 Abstract: Purpose: Aim at making a support scheme for emergency spare parts when large equipment spare parts supply network faced with large-scale emergency events. Design/methodology/approach: In order to analyze the model, we establish the spare parts security model under network supply conditions to respond emergency in case of fuzzy demand. And in end of the paper, we adopt an improved genetic algorithm to solve the problem. Findings: Considering emergency spare parts support problem from three aspects including satisfaction of time, satisfaction of demand and emergency cost constraints, which makes decision-making process more accord with reality condition, we can get a more realistic solution for the decision makers. Originality/value: Considering the occurrence of emergency and adopting information entropy theory to order the weight of emergency maintenance station in priority sequence, this paper presented emergency response time and demand satisfaction function, which uses the time, demand satisfaction and the cost restrictor as objective functions, we have constructed the spare parts support model under fuzzy demand to solve emergency events, having expanded the scope of solution. Keywords: fuzzy demand, satisfaction index, personality, emergency spare parts -658- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1372 1. Introduction The reason for the complexity of maintenance spare parts for large equipment involves many complicated factors. Some attribute to the different types and large numbers of spare parts, others point to the intricacy of maintenance work. Spare parts management is a hot topic of the research field, and the supply of spare parts affects the exertion of the equipment support ability directly. Effective spare parts management can provide resources for equipment support in time, and ensure the stable operation of system that perform the maximum efficiently under the limited support cost. The decision maker is required to put forward the corresponding plan rapidly in an unexpected event, and spare parts’ supply requires fast response, accurate and reliable quantity. It is likely to miss the best opportunity of spare parts support and cause serious consequences if the decision making speed is slower. Therefore, in the process of support emergency spare parts, the improvement of equipment spare parts support work time and demand satisfaction should be considered for the problem of emergency resource optimization. Aiming at the characteristics of multiple emergency spot and multiple resources problem, the concept of continuous feasible plan is introduced by Dai and Da (2000) to realize the solution of multiple resource allocation emergency problems, an example and the application are given, and satisfactory results are obtained. An optimal scheduling model of emergency resource allocation is put forward from the angle of time and space by Fiedrich, Gehbauer and Rickers (2000), the model uses detailed descriptions of the available resources to calculate the resource performance for different tasks related to the response. For the problem of emergency support multi-depots to single demand depots, a model for multiple targets emergency support is established by Liu, He and Shi (2001). Which is based on the fewest number of selected depots and the shortest emergency time. Considering the multiple species allocation of emergency supplies and vehicle scheduling, a mathematical model of unmet and minimum demand for emergency supplies which is established by Özdamar, Ekinci and Küçükyazici (2004), the model describes a setting that is different than the conventional vehicle routing problem. It is readily decomposed into two multi-commodity network flow problems, the first one being linear and the second integer. The problem of hybrid fuzzy clustering algorithm being used to solve the relief phase emergency point clustering and allocation of emergency supplies is put forward by Shen (2007), this paper presents an optimization approach to the operation of emergency logistics co-distribution responding to the urgent relief demands in the rescue period. A method was presented by Du and Yi (2013) which chose relative good vehicle routing in emergency conditions, considering time requirement and cost limit both while choosing vehicle routing establishing a mathematical model of multi-objective emergency logistics vehicle routing problem. Use genetic algorithms to solve the problem. For the problem of allocation of emergency supplies in an unexpected event, considering the limited capacity of vehicle scheduling, a mathematical model of taking -659- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1372 the least vehicle scheduling costs and minimization of loss as the target is established by Wang, Ma and Ruan (2013). This paper used the hierarchical thinking to reduce solution space, designed the genetic algorithm for this problem, the validity of the model is verified combining with realistic distribution scheme. Many scholars at home and abroad who have made a lot of meaningful exploration for resource emergency support in an unexpected event, most of which support the resource allocation and transportation resources with demand certainty, and the study of the degrees of satisfaction in the field of emergency currently is more focused on distribution center location problem (Tzeng, Cheng & Huang, 2007), but demand of spare parts for large equipment is usually uncertain after the occurrence of actual emergency. Therefore, how to deal with problems of emergency spare parts support of large equipment in an unexpected event firstly need to estimate the demand of spare parts by the fuzzy method and to solve uncertainties. Aiming at problems of emergency spare parts support of large equipment in an unexpected event, a model of emergency spare parts support of large equipment is established under fuzzy demand in this paper. Considering the occurrence of emergency, the model estimates the demand of spare parts by the fuzzy method, based on the sorting of each maintenance station security priority, explores problems of emergency spare parts support from three aspects of satisfaction of time, satisfaction of demand and emergency cost constraints, which makes decision-making process more accord with the reality, so as to help decision makers to provide better emergency solution of effective maintenance resource allocation. 2. Model 2.1. Problem Description and (...truncated)