Manufacturing flow line systems: a review of models and analytical results
Queueing Systems: Theory and Applications - Special issue on queueing models of manufacturing systems
Optimal allocation of inspection effort in a serial multi-stage production system
Computers and Industrial Engineering - Special issue: IE in Korea
An optimal operating policy for the production system with rework
Computers and Industrial Engineering
Iterative use of simulation and scheduling methodologies to improve productivity
Proceedings of the 40th Conference on Winter Simulation
Six Sigma for Electronics Design and Manufacturing
Six Sigma for Electronics Design and Manufacturing
A three-station merge system with unreliable stations and a shared buffer
Mathematical and Computer Modelling: An International Journal
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The phenomena of machine failures, defects, multiple rework loops, etc., results in much difficulty in modeling rework systems, and therefore the performance analysis of such systems has been investigated limitedly in the past. We propose an analytical method for the performance evaluation of rework systems with unreliable machines and finite buffers. To characterize the rework flow in the system, a new 3M1B (three-machine and one-buffer) Markov model is first presented. Unlike previous models, it is capable of representing multiple rework loops, and the rework fraction of each loop is calculated based on the quality of material flow in the system. A decomposition method is then developed for multistage rework systems using the proposed 3M1B model as one of the building blocks. The experimental results demonstrate that the decomposition method provides accurate estimates of performance measures such as throughput and Work-In-Process (WIP). We have applied this method to several problems, such as the determination of the optimal inspection location and the identification of bottleneck machines in rework systems.