Paper Title:
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.

  Info
Periodical
Edited by
Daizhong Su, Qingbin Zhang and Shifan Zhu
Pages
397-400
DOI
10.4028/www.scientific.net/KEM.450.397
Citation
H. Rau, K. H. Cho, Y. H. Wang, "Optimal Inspection Allocation for Workstations of Attribute Data with Multi-Characteristics in Multi-Station Systems", Key Engineering Materials, Vol. 450, pp. 397-400, 2011
Online since
November 2010
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