Modelling and Decision-making on Deteriorating Production Systems using Stochastic Dynamic Programming Approach
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 31، شماره: 12
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 341
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-31-12_009
تاریخ نمایه سازی: 10 آذر 1398
چکیده مقاله:
This study aimed at presenting a method for formulating optimal production, repair and replacement policies. The system was based on the production rate of defective parts and machine repairs and then was set up to optimize maintenance activities and related costs. The machine is either repaired or replaced. The machine is changed completely in the replacement process, but the production rate of defective parts decreases in the repair process. The repair time and number of repairs will affect this process. The aim of this study is to find decision variables that minimize the final cost of repair, replacement, maintenance and prevention of failures in a given time horizon. As a case study, the variables were evaluated at Arak Pishgam Company to achieve optimal conditions. The proposed model was developed based on the semi-Markov decision process (SMDP). In addition, stochastic dynamic programming model was used to achieve optimal conditions.
کلیدواژه ها:
نویسندگان
S. Yazdanparast
Department of Industrial Engineering, Yazd University, Yazd, Iran
A. Sadegheih
Department of Industrial Engineering, Yazd University, Yazd, Iran
M. Fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran
M. Abooie
Department of Industrial Engineering, Yazd University, Yazd, Iran