An Iterative Decision Rule to Minimize Cost of Acceptance Sampling Plan inMachine Replacement Problem
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 27، شماره: 7
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 632
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شناسه ملی سند علمی:
JR_IJE-27-7_011
تاریخ نمایه سازی: 12 آبان 1393
چکیده مقاله:
In this paper, an optimal iterative decision rule for minimizing total cost in designing a sampling planfor machine replacement problem is presented using the approach of dynamic programming andBayesian inferences. Cost of replacing the machine and cost of produced defectives have beenconsidered in model. Concept of control threshold policy has been applied for decision making. If theprobability of producing a defective was more than a control threshold then the machine is replacedotherwise its performenace will be accepted and continues its production. A numerical example alongwith sensitivity analysis is performed to show the application of proposed methodology
کلیدواژه ها:
Machine ReplacementAcceptance Sampling PlanControl Threshold PolicyDynamic Programming
نویسندگان
ms Fallahnezhad
Industrial Engineering Department, University of Yazd, Yazd, Iran
ms Sajjadieh
bIndustrial Engineering Department, Amirkabir University of Technology, Tehran, Iran
p Abdollahi
Industrial Engineering Department, University of Yazd, Yazd, Iran