A novel model for a manufacturing system with joint production lines in terms of prior-set

Abstract

A novel model integrating transformation and decomposition techniques is proposed to construct a manufacturing system with joint production lines as a multi-state manufacturing network (MMN). Reworking actions and different defect rates of workstations are both taken into account in the MMN model. The capacity analysis and performance evaluation are implemented accordingly. In particular, a technique in terms of ‘prior-set’ is developed to deal with multiple reworking actions. Subsequently, two simple algorithms are proposed to generate all minimal capacity vectors that workstations should provide to satisfy a given demand. In terms of such vectors, the probability of demand satisfaction can be derived. Such a probability is referred to as the system reliability, which is a performance indicator to state the capability of the MMN. According to each specific minimal capacity vector, the production manager may further determine a better strategy to produce products.

Keywords:

• joint production lines
• prior-set
• multi-state manufacturing network (MMN)
• different defect rates
• reworking actions

Additional information

Notes on contributors

Yi-Kuei Lin

Yi-Kuei Lin is currently a chair professor and the chairman of Industrial Management Department, National Taiwan University of Science and Technology, Taiwan, Republic of China. He received a Bachelor's degree from the Applied Mathematics Department from National Chiao Tung University, Taiwan. He obtained his Master's and Ph.D. degrees from the Department of Industrial Engineering and Engineering Management at National Tsing Hua University, Taiwan, Republic of China. He has the honour of getting the Outstanding Research Awards from the National Science Council of Taiwan in 2008 and 2010, respectively. His research interest includes performance evaluation, stochastic network reliability, operations research, and telecommunication management. He has published over 130 papers in refereed journals, including European Journal of Operational Research; Computers and Operations Research; Reliability Engineering & System Safety; IEEE Transactions on Reliability; IEEE Transactions on Systems, Man, and Cybernetics–Part A: Systems and Humans; International Journal of Industrial Engineering; Computers and Mathematics with Applications; International Journal of Advanced Manufacturing Technology; International Journal of Reliability, Quality and Safety Engineering; Journal of the Operations Research Society of Japan; Mathematical and Computer Modelling; Computers and Industrial Engineering; International Journal of Production Economics; and Applied Mathematics and Computation.

Ping-Chen Chang

Ping-Chen Chang is currently a postdoctoral fellow of Industrial Management Department, National Taiwan University of Science and Technology, Taiwan, Republic of China. He received a Bachelor's degree from the Department of Industrial and Business Management from Chang Gung University, Taiwan. He obtained his Master's degree from the Department of Industrial Engineering and Management at Yuan Ze University, Taiwan. He obtained the Ph.D. degree from the Department of Industrial Management at National Taiwan University of Science and Technology, Taiwan. He was a recipient of the Best Student Paper Award of the 2011 International Conference on Reliability and Quality in Design (ISSAT). His research interests include stochastic network reliability, performance evaluation, and operations management.