TY - GEN
T1 - A multiattribute ABC classification model using fuzzy AHP
AU - Çebi, Ferhan
AU - Kahraman, Cengiz
AU - Bolat, Bersam
PY - 2010
Y1 - 2010
N2 - ABC analysis is one of the most widely used techniques in organizations to classify inventory items. This classification is based on the Pareto principle. The main limitation of the Pareto principle comes from its one dimensional analysis. To overcome this limitation, an ABC analysis based on a multiattribute classification can be used. Many attributes are hard to define precisely in this analysis. The fuzzy set theory can overcome this problem by incorporating imprecision and subjectivity into a multiattribute ABC classification model. In this paper, Zeng 's fuzzy analytic hierarchy process is used for classifying inventory items by taking care of conflicting attributes like demand, unit cost, substitutability, payment terms, and lead time. A real case study in a Turkish firm distributing fast moving consumer goods is realized. The obtained results show that this multiattribute fuzzy methodology can be effectively used in classifying inventory items.
AB - ABC analysis is one of the most widely used techniques in organizations to classify inventory items. This classification is based on the Pareto principle. The main limitation of the Pareto principle comes from its one dimensional analysis. To overcome this limitation, an ABC analysis based on a multiattribute classification can be used. Many attributes are hard to define precisely in this analysis. The fuzzy set theory can overcome this problem by incorporating imprecision and subjectivity into a multiattribute ABC classification model. In this paper, Zeng 's fuzzy analytic hierarchy process is used for classifying inventory items by taking care of conflicting attributes like demand, unit cost, substitutability, payment terms, and lead time. A real case study in a Turkish firm distributing fast moving consumer goods is realized. The obtained results show that this multiattribute fuzzy methodology can be effectively used in classifying inventory items.
KW - ABC analysis
KW - Analytic Hierarchy Process (AHP)
KW - Classification
KW - Fuzzy sets
KW - Multiple attribute
KW - Pareto
UR - http://www.scopus.com/inward/record.url?scp=78651440127&partnerID=8YFLogxK
U2 - 10.1109/ICCIE.2010.5668233
DO - 10.1109/ICCIE.2010.5668233
M3 - Conference contribution
AN - SCOPUS:78651440127
SN - 9781424472956
T3 - 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010
BT - 40th International Conference on Computers and Industrial Engineering
T2 - 40th International Conference on Computers and Industrial Engineering, CIE40 2010
Y2 - 25 July 2010 through 28 July 2010
ER -