دانلود رایگان مقاله انگلیسی تصمیم گیری چند معیاره برای انتخاب یک طرح راهنمای کارگاهی اجرا کننده - الزویر 2017

عنوان فارسی
تصمیم گیری چند معیاره برای انتخاب یک طرح راهنمای کارگاهی اجرا کننده
عنوان انگلیسی
Multi-criteria decision making for the selection of a performant manual workshop layout: a case study
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
6
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E7175
رشته های مرتبط با این مقاله
مهندسی صنایع
گرایش های مرتبط با این مقاله
برنامه ریزی و تحلیل سیستم ها
مجله
IFAC-PapersOnLine
دانشگاه
Quartz-Supmeca - 93407 Saint-Ouen - France
کلمات کلیدی
پیکربندی مجدد، فروشگاه دستی، تصمیم گیری چند معیاره، AHP، TOPSIS
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


The purpose of this paper is to evaluate and to select a new workshop layout among a set of alternatives to meet changes in demand. We suggest a multi-criteria decision making approach using Analytic Hierarchy Process (AHP) technique coupled with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help decision makers in the selection process. AHP is applied to get the weights of selected criteria by comparing them pair-wise by experts. The final ranking of potential configurations is obtained through the application of TOPSIS according to their performance levels. This methodology identifies the most performer configuration responding to the selected criteria. The approach is applied to a real case in Tunisia.

نتیجه گیری

6. CONCLUSION AND PERSPECTIVES


This paper contributes to the choice of the quantitative and qualitative factors influencing the layout configuration in a manual assembly workshop.


In addition, no research has been found on the application of the Analytic Hierarchy Process (AHP) coupled with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to evaluate a set of alternatives and determine the efficient configuration of manufacturing systems. Three layout configurations for the AMECAP Company are defined as alternatives for the case study in response to change in demand. Besides, we consider the current configuration as a third alternative. By applying these two methods, we find that A2 is the most appropriate configuration. We recall that A2 is not the current configuration. So, a reconfiguration process is required for our case.


We did not address the alternative generation problem which is one of the most complex problems to solve. In this paper, we dealt with the alternatives proposed by experts which could be biased. In other research works we do focus on this issue to generate alternative that respects the rules of good design that is based mainly on controlling flows.



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