توسعه نمودار کنترلEWMAR با استفاده از قوانین حساس‌سازی در پایش پروفایل خطی ساده

نوع مقاله : مقاله پژوهشی

نویسندگان

1 ، مهندسی صنایع، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

2 گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران

3 گروه مهندسی صنایع، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

در روش‌های سنتی کنترل کیفیت،عملکرد فرایند یا کیفیت محصول از طریق پایش یک یا چند مشخصه کیفیت با استفاده از توزیع متناظر یک یا چندمتغیره آنها بررسی می‌شد. امروزه در بسیاری موارد، کیفیت از طریق رابطه بین یک یا چند متغیر پاسخ و یک یا چند متغیر مستقل توصیف می‌شود.در ادبیات کنترل کیفیت آماری، این رابطه را پروفایل می‌نامند. در این پژوهش به منظور پایش پروفایل خطی ساده در فاز دو از نمودار کنترل EWMAR و توزیع نرمال مربوط به آن برای کشف انواع تغییرات در پارامترهای عرض از مبدا و شیب استفاده می‌شود.به منظور بهبود عملکرد نمودار از قوانین حساس‌سازی در این نمودار استفاده می‌شود.سپس به منظور اعتبارسنجی نمودار کنترل پیشنهادیEWMAR-RULE، عملکرد نمودار بر اساس ARL با سایر نمودارها بررسی می‌شود.نتایج نشان‌دهنده اینست که نمودار کنترل در تغییرات افزایشی و کاهشی به مراتب عملکرد بهتری از سایر نمودارها دارد. همچنین عملکرد طرح پیشنهادی از سایر قوانین حساس‌سازی بهتر است.

کلیدواژه‌ها


عنوان مقاله [English]

Developing EWMAR Control Chart with Run Rules for Profile Monitoring 

نویسندگان [English]

  • Ali Yeganeh 1
  • Somayeh Fadaei 2
  • Alireza Shadman 3
1     PHD Student, Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.    
2 PHD Student, Management Department, Faculty of Economic and Administrative Sciences, Ferdowsi University of Mashhad (FUM), Mashhad, Iran 
3   Assistant Professor, Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad,    
چکیده [English]

In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using the corresponding distribution of one or more variables. Recently, in many cases, quality is defined through the relationship called profile between one or more response and independent variables as a supplanting way. In order to monitor linear profiles in this study, the EWMAR control chart and its normal distribution are used to detect various changes in the intercept, slope and standard deviation. To improve the performance of the chart, run rules are used here. Then, in order to validate the proposed control chart, its performance is examined based on the average length of the sequence (ARL) criteria in the out-of-control for increasing changes, decreasing changes and simultaneous changes in intercept and slope and standard deviation. The results show that the proposed method has a much better performance in incremental and decreasing shifts than other charts. Also, the proposed scheme performs better than other run rules. 
 
 

کلیدواژه‌ها [English]

  • EWMAR control chart
  • Profile monitoring
  • Run rules scheme
  • Simple linear profiles
  • Phase II. 
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