Specifying Efficient Design Parameters of Single Sample Acceptance Sampling Plans
محل انتشار: نهمین کنفرانس ملی تحلیل پوششی داده ها
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 617
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شناسه ملی سند علمی:
DEA09_049
تاریخ نمایه سازی: 8 آذر 1396
چکیده مقاله:
In quality assurance systems, acceptance sampling (AS) plans, as one of the main fields of statistical quality control, play a very important role. The design of a single AS plan generally requires determination of sample size, and acceptance number. Several models for optimally selection of design parameters have been developed in the literature including a variety of approaches. In this study, it is intended to reach a well-balanced compromise between cost (economical) and quality (statistical) features. Thus, a multi-objective economic-statistical design (MOESD) of the single AS plan is presented. A simple and efficient optimization algorithm using data envelopment analysis (DEA) is employed to solve it. Through a simulation study, the efficiency of proposed model is illustrated. Moreover, a comparison of optimal designs obtained using economic model with statistical constraints, and the MOESD is made.
کلیدواژه ها:
نویسندگان
Namin Jafarian
Ph.D. Candidate, Faculty of Industrial Engineering, Yazd University, Yazd, Iran
A Pakzad
Department of Industrial Engineering, Kosar University of Bojnord, Bojnord, Iran
M.S Fallah Nezhad
Associate Professor, Faculty of Industrial Engineering, Yazd University, Yazd, Iran