Volume 22, Issue 3 (IJIEPR 2011)                   IJIEPR 2011, 22(3): 143-150 | Back to browse issues page

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1- Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran , fallahnezhad@yazduni.ac.ir
2- Department of industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran
Abstract:   (7039 Views)

 In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by approximating the negative binomial distribution with Poisson distribution and using the properties of binomial distribution. A solution method along with numerical demonstration on the application of the proposed methodology is presented. Furthermore, the results of sensitivity analysis show that the proposed method needs a large sample size .

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Type of Study: Research | Subject: Other Related Subject
Received: 2011/10/3 | Published: 2011/09/15