پديد آورنده :
ابويي اردكان، مصطفي
عنوان :
طراحي اقتصادي و اقتصادي-آماري مدلي تركيبي از نمودارهاي كنترلي EWMA و سياست هاي نگهداري و تعميرات
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده صنايع و سيستم ها
صفحه شمار :
دوازده،113ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
علي زينل همداني
توصيفگر ها :
استراتژي هاي بهينه نت
تاريخ نمايه سازي :
7/10/89
استاد داور :
ناصر ملاوردي
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Economic and Economic Statistical Design of Integrated Model of EWMA Control Chart and Maintenance Mostafa Abouei Ardakan m abouei@in iut ac ir Date of Submission 2010 08 29 Department of Industrial Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Ali Zeinal Hamadani hamadani@cc iut ac ir Abstract Statistical Process Control and Maintenance Planning are critical factors in controlling any manufacturing process Although these two research fields have common goals traditionally they are studied separately both in business practice and scientific researches Their common objective is to achieve a high quality product lower downtimes and lower expenses by controlling variances in the process Therefore single or separated parallel applications of these fields would not be an appropriate way Some studies are performed in this field to combine such concepts nevertheless they are entirely concentrated on utilizing control charts Since such kinds of charts are not appropriate for small differences where results in large second error type and also some more advanced charts such as EWMA are utilized in sensitive processes hence in this thesis we have considered the problem of integrated design of EWMA control charts and maintenance policies Also we have proposed a mathematical model in order to combine these research fields In this thesis we develop a generalized analytic model to determine the optimal policy to coordinate Statistical Process Control and Planned Maintenance to minimize total expected cost We propose integrating these two management practices into a coordinated Monitoring Maintenance Model In our model Statistical Process Control monitors the equipment and provides signals indicating equipment deterioration while Planned Maintenance is scheduled at regular intervals to preempt equipment failure The determination of an unstable process via Statistical Process Control results in an early Reactive Maintenance to restore the equipment Otherwise a Planned Maintenance occurs after a specified period of operation In this sense we propose an adaptive maintenance policy where the maintenance schedule adapts to the stability of the process The completion of maintenance returns the process to its original operating condition and results in a process renewal The model derives and optimal policy to minimize the cost per unit time The derivation of the coordinated cost function follows a renewal reward process
استاد راهنما :
علي زينل همداني
استاد داور :
ناصر ملاوردي
