جلد 32، شماره 4 - ( 10-1400 )                   جلد 32 شماره 4 صفحات 17-1 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Miškić S, Stević Ž, Tanackov I. A novel integrated SWARA-MARCOS model for inventory classification. IJIEPR 2021; 32 (4) :1-17
URL: http://ijiepr.iust.ac.ir/article-1-1243-fa.html
A novel integrated SWARA-MARCOS model for inventory classification. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1400; 32 (4) :1-17

URL: http://ijiepr.iust.ac.ir/article-1-1243-fa.html


چکیده:   (1907 مشاهده)
In the field of logistics, there is a daily need for decision making, i.e. the need to solve business problems by selecting an appropriate solution. During the implementation of decision-making processes, it is necessary to find an optimal solution that will best meet the needs of companies. The selection of an optimal solution is crucial for the profitability, cost-effectiveness and long-term development of companies. The decision-making process in logistics is facilitated by applying various tools such as multi-criteria decision-making methods. In this paper, an integrated SWARA (Step-wise Weight Assessment Ratio Analysis) – MARCOS (Measurement Alternatives and Ranking according to Compromise Solution) model was developed and applied in order to classify products. Fifty alternatives, i.e. products were evaluated based on three criteria. The first criterion is the quantity of purchased products, the second criterion is the unit price of products and the third criterion is the annual value of purchase. The SWARA method was applied to determine the significance of the criteria, while the classification of products was performed using the MARCOS method. According to the results of the originally created MCDM model, the products were grouped into three categories A, B, and C. Then, a sensitivity analysis was performed using a model involving the integration of SWARA method and ABC analysis. Using this model, the classification of products into three groups was performed on the basis of the aforementioned criteria, and then a comparative analysis was conducted.
     
نوع مطالعه: پژوهشي | موضوع مقاله: زنجیره تامین و لجستیک
دریافت: 1400/1/28 | پذیرش: 1400/8/11 | انتشار: 1400/9/16

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به نشریه بین المللی مهندسی صنایع و تحقیقات تولید می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb