|
|
International Journal of Industrial Engineering and Productional Research-، جلد ۲۸، شماره ۳، صفحات ۰-۰
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
|
|
| عنوان انگلیسی |
A Dynamic Fuzzy Expert System Based on Maintenance Indicators for Service Type Selection of Machinery |
|
| چکیده انگلیسی مقاله |
Due to the multiplicity of standards and complex rules; maintenance, repair and servicing of machinery could be done only by the fully qualified and proficient experts. Since the knowledge of such experts is not available all times, using expert systems can help to improve the maintenance process. To address this need and the uncertainty of the maintenance process indicators, this research proposed a Fuzzy Expert Systems (FES) for decision making on the type of service. Since all indicators identified in the literature aren't important adequately, more influential indicators in the service type selection are chosen using inferential statistical analysis firstly. Then, the fuzzy rules of the knowledge based were designed by these selected indicators. Finally, Inference engine has been designed based on Mamdani model to detect the service type of equipment. This research selected Shemsh Sazan Zanjan Company as a case study to implement the proposed expert system. According to our experiments, the proposed system increases the reliability by suggesting effective ideas that lead to decrease production line breakdowns. The main contribution of this paper is providing a new approach for designing maintenance dynamic FES based on Maintenance Indicators for service type selection that can decrease production line breakdowns. |
|
| کلیدواژه‌های انگلیسی مقاله |
|
|
| نویسندگان مقاله |
مجتبی صالحی | mojtaba salehi
assistant professor
|
|
| نشانی اینترنتی |
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-985-1&slc_lang=en&sid=en |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/415/article-415-449848.pdf |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
تکنولوژی و مدیریت دانش |
| نوع مقاله منتشر شده |
پژوهشی |
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|