A DECISION SUPPORT SYSTEM FOR SELECTION OF MACHINING CENTERS


Ic Y. T., Yurdakul M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.23, sa.1, ss.85-95, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 1
  • Basım Tarihi: 2008
  • Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.85-95
  • Anahtar Kelimeler: Machining center selection, decision support systems, multi criteria decision making models, fuzzy TOPSIS, fuzzy AHP, AHP, TOPSIS, MODEL
  • Gazi Üniversitesi Adresli: Evet

Özet

The competitive environment forces manufacturing companies to produce cheaper products with higher qualities and to be more responsive to the needs of the customers along with reducing the lead times, all at the same time. The machining centers are key resources for manufacturing companies which are facing the described fierce competitive environment. However, selecting the most appropriate machining center among the available wide range of types and models is a difficult but very important decision for a manufacturing company. In this study, a Decision Support System (DSS) is developed using Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS), which are extended versions of Multi-Criteria Decision Making approaches. Furthermore, to select the feasible set of machining centers which FAHP and FTOPSIS rank, fifteen questions are placed in the elimination (pre-selection) module of the developed DSS. The developed structure of the DSS has a flexible structure providing the user the opportunity of weighting the criteria as fuzzy or crisp numbers. The DSS is designed such that the user can use FAHP if he or she wants a detailed weighting of hierarchically structured criteria or prefer FTOPSIS if he or she prefers a faster individual weighting of criteria.