Optimal Inspection Allocation for Workstations of Attribute Data with Multi-Characteristics in Multi-Station Systems

Abstract:

. The study models multi-characteristics inspection for inspection allocation problems with workstations of attribute data in serial production systems. Either 100% or 0% inspection is performed and Type I and Type II errors are considered. In addition, this study considers three possibilities of treatment of detected nonconforming units, namely, repair, rework and scrap. With the above considerations, a profit model is developed for optimally allocating inspections. Moreover, a genetic algorithm is used to solve the problem and it is proved to have much less computation time, compared with an optimization method based on complete enumeration, especially when number of workstations and characteristics becomes more.

• Periodical: Key Engineering Materials (Volume 450)
• Pages: 397-400
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.450.397
• Online since: November 2010
• Authors: Hsin Rau, Kuo Hua Cho, Yi Hsiang Wang
• Keywords: Genetic Algorithm (GA), Inspection Allocation, Multi-Characteristics, Serial Production System

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