A hybrid fuzzy AHP-PROMETHEE decision support system

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Received: 27 May 2010 / Accepted: 25 May 2011
© Springer ScienceBusiness Media， LLC 2011
Abstract The selection process of a suitable machine tool
among the increased number of alternatives has been an
important issue for manufacturing companies for years. This
is because the improper selection of amachine toolmay cause
many problems that will affect the overall performance. In
this paper， a decision support system (DSS) is presented to
select the best alternative machine using a hybrid approach
of fuzzy analytic hierarchy process (fuzzy AHP) and prefer-
ence ranking organization method for enrichment evaluation
(PROMETHEE). A MATLAB- based fuzzy AHP is used to
determine the weights of the criteria and it is called program
for PriorityWeights of the Evaluation Criteria (PWEC)， and
the PROMETHEE method is applied for the final ranking.
The proposed model is structured to select the most suit-
able computer numerical controlled (CNC) turning centre
machine for a flexible manufacturing cell (FMC) among the
alternatives which are assigned from a database (DB) cre-
ated for this purpose. A numerical example is presented to
show the applicability of the model. It is concluded that the
proposed model has the capability of dealing with a wide
range of desired criteria and to select any type of machine
tool required for building an FMC.
Keywords Machine selection · Decision-making · CNC
machines · FMC · Fuzzy AHP · PROMETHEE
Z. Taha (B)
Department of Manufacturing Engineering， University Malaysia
Pahang， 26300 Gambang， Pahang， Malaysia
e-mail: zaharitaha###ump.edu.my
S. Rostam
Centre for Product Design andManufacturing， Faculty of Engineering，
University of Malaya， 50603 Kuala Lumpur， Malaysia
e-mail: sarkawtr###hotmail.com