دانلود مقاله ISI انگلیسی شماره 86887
ترجمه فارسی عنوان مقاله

توسعه مدل شبیه سازی برای سیستم تولید مجدد قابل تنظیم با توجه به عوامل پایدار

عنوان انگلیسی
The Development of Simulation Model for Self-reconfigurable Manufacturing System Considering Sustainability Factors
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
86887 2017 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Manufacturing, Volume 11, 2017, Pages 1085-1092

ترجمه کلمات کلیدی
تنظیم مجدد فرایند، خودپیشرفتگی، مدل شبیه سازی، فاکتور پایداری، سیستم تولید مجدد،
کلمات کلیدی انگلیسی
Process Reconfiguration; Self-reconfigurability; Simulation Model; Sustainability Factor; Reconfigurable Manufacturing System;
پیش نمایش مقاله
پیش نمایش مقاله  توسعه مدل شبیه سازی برای سیستم تولید مجدد قابل تنظیم با توجه به عوامل پایدار

چکیده انگلیسی

Currently, there are many researches about sustainable and eco-friendly manufacturing system. However, up to now, there are not many studies yet discussing about the integration between sustainability and self-reconfigurability. In this paper, the relationship between self-reconfigurability and sustainability is investigated, especially when a manufacturing system changes its process based on its new-determined goal. This paper also provides an experiment result by using simulation model consider a process reconfiguration and sustainability factors. Through existing research results, the literature is reviewed in order to obtain the relationship between self-reconfigurability and sustainability. The appropriate sustainability factors for self-reconfigurability such as energy efficiency, resource efficiency, and so on, has been checked and selected by using AHP(Analytic hierarchy process). Then, the simulation model will be developed by considering the selected sustainability factors. To check and analyze how sustainability factors affect manufacturing processes and how sustainability factors, also change when manufacturing process are changed. The result of this paper can be a basis for the future research to increase sustainability in a self-reconfigurable manufacturing system.