Research On Allocation For Spare Parts Of Hobbing Machine Oriented To Service-embedded Manufacturing

In the context of service-embedded manufacturing, the individuation of userrequirement and the rapid development of IT make the fault repair and maintenanceservices as the most important content of after-sale service gradually become the focusof attention of the equipment manufacturing industry. As the most important materialbasis of fault repair and maintenance activities, the configuration rationality of spareresources directly affects the service efficiency and user satisfaction. Currently, the levelof spare part allocation management oriented to service-embedded manufacturing isgenerally low, where exist problems including that demand is difficult to predict,irrational allocation of inventory, delivery problems and other issues. The high costs ofspare parts inventory and logistics have caused great distress to the enterprises.Meanwhile, with the continuous increase of users’ requirements to the level of faultrepair and maintenance, spare resource allocation will be faced with greater challengesand the spare resource allocation oriented to service is still a hot focus of research for along period of time in the future. Therefore, taking spare parts for fault repair andmaintenance services as the research object, this paper focuses on the allocation forservice spare parts of hobbing machine oriented to service-embedded manufacturing.Combined with characteristics and the demand performance of spare parts, therequirements of allocation for spare parts of hobbing machine oriented toservice-embedded manufacturing are analyzed. On this basis, a service frameworkoriented to allocation for spare parts of hobbing machine is presented.Under the proposed service framework, the support technologies for allocation forspare parts are analyzed. Firstly, in order to optimize of service ability of hobbingmachine manufacturer, unified management of users should be realized. Based on theanalysis of factors influencing customer service level, the analysis method and targethierarchy method were adopted to build the evaluation indicator system for level ofservice for hobbing machine customer. The service level of customers was assessedthrough fuzzy comprehensive evaluation method. Secondly, concerning thecharacteristics of service parts like multiple kinds, random demand and hard to beunpredictable, spare parts were classified according to the law of loss and failuremechanism. Through statistical analysis of a large number of fault data, based on thelife distribution and failure rate curve, the demand of spare parts was predicted and the inventory strategy was carried out. Finally, to solve the problem of untimely delivery,taking the shortest delivery distance as the optimization goal, the delivery model ofhobbing machine spare parts with a time limit was put forward. The modified savingalgorithm was adopted to solve the model to get the optimized spare part deliveryscheme.Based on the above findings, under the support of the key technologies and theservice framework oriented to allocation for spare parts of hobbing machine, combinedwith the intelligent fault repair and maintenance services management system ofhobbing machine developed by our research group, the application of the proposedallocation method for spare part resource of hobbing machine is verified by simulationand its correctness and effectiveness are verified.