Title: Modelling and scheduling preventative maintenance in semiconductor manufacturing industry with MAs
Authors: Jie Gao, Mitsuo Gen, Linyan Sun
Addresses: School of Management, Xi'an Jiaotong University, Xi'an 710049, China; Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan. ' Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan. ' School of Management, Xi'an Jiaotong University, Xi'an 710049, China
Abstract: Preventive Maintenance (PM) scheduling is a valuable tool to improve reliability and productivity in semiconductor manufacturing. In this paper, we propose an expanded PM Scheduling (PMS) model, which takes into consideration both tools| technical factors and production information. This model aims to schedule PM tasks given the criteria of maximum throughputs, minimum Work-In-Process (WIP) and minimum lateness of PM tasks under operation and resource constraints. In order to precisely model the joint impact of PM tasks on the throughput of cluster tools, we develop an innovative method to formulate availability function of cluster tools. Then, a Memetic Algorithm (MA) is developed to find a best solution for the PMS problem. Consequently, we can treat PMS problem with fine granularity of planning time unit and long scheduling horizon for large systems composed of complex integrated cluster tools in semiconductor manufacturing systems. Practical case study has demonstrated the performance of the proposed method.
Keywords: preventive maintenance; PM scheduling; cluster tools; semiconductor manufacturing; time windows; memetic algorithms; MAs; modelling.
International Journal of Manufacturing Technology and Management, 2009 Vol.16 No.1/2, pp.101 - 126
Published online: 30 Nov 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article