A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives

Autor: Zeki Ayağ, Rifat Gürcan Özdemir
Přispěvatelé: TR8785, TR141173, Ayaǧ, Zeki
Rok vydání: 2006
Předmět:
Decision support system
Engineering
business.product_category
analitik hiyerarşi süreci (AHP)
Operations research
analytic hierarchy process (AHP)
design
tezgah seçimi
selection
Analytic hierarchy process
machine tool selection
Multiple-criteria decision making
computer.software_genre
Fuzzy logic
Benefit/Cost (B/C) ratio analysis
Industrial and Manufacturing Engineering
Fayda / Maliyet (F / M) oranı analizi
Artificial Intelligence
decision-support system
manufacturing systems
Fuzzy number
Analytic hierarchy process (AHP)
product development
model
multiple-criteria decision making
seçim
business.industry
karar destek sistemi
Multiple-criteria decision analysis
Machine tool
Machine tool selection
dizayn
New product development
Çok kriterli karar verme
çevre
ürün geliştirme
Pairwise comparison
fuzzy logic
Data mining
business
environment
computer
Software
Bulanık mantık
imalat sistemleri
Zdroj: Journal of Intelligent Manufacturing. 17:179-190
ISSN: 1572-8145
0956-5515
DOI: 10.1007/s10845-005-6635-1
Popis: Selecting process of a machine tool has been very important issue for companies for years, because the improper selection of a machine tool might cause of many problems affecting negatively on productivity, precision, flexibility and company's responsive manufacturing capabilities. On the other hand, selecting the best machine tool from its increasing number of existing alternatives in market are multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore, in this paper, an analytic hierarchy process (AHP) is used for machine tool selection problem due to the fact that it has been widely used in evaluating various kinds of MCDM problems in both academic researches and practices. However, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). That is why; fuzzy number logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP. Shortly, in this study, an intelligent approach is proposed, where both techniques; fuzzy logic and AHP are come together, referred to as fuzzy AHP. First, the fuzzy AHP technique is used to weight the alternatives under multiple attributes; second Benefit/Cost (B/C) ratio analysis is carried out by using both the fuzzy AHP score and procurement cost, of each alternative. The alternative with highest B/C ratio is found out and called as the ultimate machine tool among others. In addition, a case study is also presented to make this approach more understandable for a decision-maker(s).
Databáze: OpenAIRE
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