مقایسه مدل‌های مختلف برای طراحی طرح نمونه‌گیری پذیرش با ویژگی‌های وصفی-متغیر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، گروه مهندسی صنایع، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران

2 دانشیار گروه مهندسی صنایع، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران

3 استادیار گروه علوم مهندسی، دانشکدۀ فن‌آوری‌های نوین، دانشگاه محقق اردبیلی، اردبیل، ایران

10.22084/ier.2025.30558.2196

چکیده

این مطالعه به‌طراحی یک طرح نمونه‌گیری پذیرش ترکیبی وصفی-متغیر (AVASP) برمبنای شاخص قابلیت فرآیند می‌پردازد. طراحی اولیه باهدف حداقل‌سازی تابع هزینه (Cost) و رعایت معیارهای آماری انجام می‌شود. سپس، برای کاهش ریسک‌ها، ازروش حداقل زاویه (MAM) برای توسعه مدل دوهدفه Cost-MAM استفاده می‌شود. به‌علاوه، دو مدل مشابه بدون درنظر گرفتن شاخص‌ اقتصادی توسعه داده می‌شوند. در مدل اول از متوسط اندازه نمونه (ASN) به‌عنوان تابع هدف استفاده شده است درحالی‌که دومی مدلی دوهدفه با تابع هدف ASN-MAM درنظر گرفته شده است. برای ارائه نتایج مناسب در مدت‌زمان معقول، از الگوریتم بهینه‌سازی ازدحام ذرات (PSO) برای حل مدل‌های مذکور استفاده می‌شود. باانجام مطالعات شبیه‌سازی به مقایسه چهار مدل ارائه پرداخته می‌شود. پس‌از انتخاب مدل ارجح، نحوه اجرای سیاست بهینه طرح نمونه‌گیری در یک مطالعه موردی نشان داده می‌شود. درنهایت، یک تحلیل حساسیت برای شناسایی پارامترهای تأثیرگذار بر نتایج ارائه می‌شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A Comparative Study of Models for Acceptance Sampling with Attribute-Variable Quality Characteristics

نویسندگان [English]

  • Mahsa Abdolvand 1
  • Ali Salmasnia 2
  • samrad Jafarian-namini 3
1 M.Sc. Student, Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran
2 Associate Professor, Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran
3 Assistant Professor, Department of Engineering Sciences, Faculty of Advanced Technologies, University of Mohaghegh Ardabili, Ardabil, Iran
چکیده [English]

This study designs a mixed attribute-variable acceptance sampling plan (AVASP) based on process capability index. The initial design aims to minimize the cost function subjected to some statistical criteria. Then, to reduce the risks, the minimum angle method (MAM) is used to develop the bi-objective Cost-MAM model. In addition, two similar models are developed without considering economic indicator. the first model uses average sample number (ASN) as the objective function, while the second one is a bi-objective model with the ASN-MAM objective function. In order to provide appropriate results in a reasonable time, the particle swarm optimization (PSO) algorithm is used to solve the aforementioned models. The four proposed models are compared by conducting simulation studies. After selecting the preferred model, the optimal policy of the AVASP is implemented in a case study. Finally, a sensitivity analysis is presented to identify the parameters affecting the results.

کلیدواژه‌ها [English]

  • Acceptance Sampling Plan
  • Attribute-Variable Quality Characteristics
  • Cost Function
  • Minimum Angle Method
  • Economic-Statistical Design

مراجع

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نشریه پژوهش های مهندسی صنایع در سیستم های تولید
دوره 13، شماره 26
شهریور 1404
صفحه 55-69

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