A study for optional inspection policies in a flexible manufacturing cell
Computers and Industrial Engineering
The optimal location of inspection stations using a rule-based methodology
Proceedings of the 12th annual conference on Computers and industrial engineering
Using simulation to assess costs of quality
WSC '95 Proceedings of the 27th conference on Winter simulation
Optimal allocation of inspection effort in a serial multi-stage production system
Computers and Industrial Engineering - Special issue: IE in Korea
Evaluation of heuristics for inspection station allocation in serial production systems
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Future Generation Computer Systems
Quality Control for Products Supplied with Warranty
Operations Research
Sequential Inspection Under Capacity Constraints
Operations Research
A polynomial time algorithm for solving a quality control station configuration problem
Discrete Applied Mathematics
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The allocation of quality control stations (AQCS) in multistage manufacturing systems has been studied extensively over the decades. This paper reviews the existing approaches, models comparison and solution techniques applied in AQCS. The relevance of the models and the effectiveness of the inspection strategies are examined by developing a generalised model. The conducting simulation experiments show that as the number of workstation increases the processing time to solve the problem increases significantly. This led to the development of a heuristic algorithm with local search. The performance the heuristic was compared with the optimization method based on complete enumeration method (CEM). It was found that the heuristic method can derive an acceptable solution significantly faster than the CEM. The review has shown that the most common techniques used are dynamic programming and non-linear programming. The paper suggests some biologically inspired optimisation algorithms can be of interest for further study.