MODIFIED FUZZY ANALYTICAL HIERARCHY PROCESS FOR MULTIPLE CRITERIA INVENTORY CLASSIFICATION

Authors

  • Golam Kabir Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh.
  • Muhammad Ahsan Akhtar Hasin Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh.

Keywords:

Multi-criteria inventory classification, fuzzy analytic hierarchy process, triangular fuzzy number

Abstract

A systematic approach to inventory control and classification may have a significant influence on company competitiveness. In order to efficiently control the inventory items and to determine suitable ordering policies for them, a multi-criteria inventory classification is used. In this paper, a Modified Fuzzy Analytic Hierarchy Process (FAHP) is proposed to determine the relative weights of the criteria using Chang’s extent analysis and to classify inventories into different categories. To accredit the proposed model, it is implemented for 351 raw materials of the switchgear section ofEnergypac Engineering Limited (EEL), a large power engineering company in Bangladesh. The results of the study show that 22 items are identified as being in class A or the very important group,47 items as being in class B or the important group, and the remaining 282 items as being in class Cor the relatively unimportant group, and these are used as a basis for the control scheme.

References

Bhattacharya, A., Sarkar, B., and Mukherjee, S.K.(2007). Distance-based consensus method forABC analysis. Int. J. Prod. Res., 45(15):3405-3420.

Boender, C.G.E., de Graan, J.G., and Lootsma, F.A.(1989). Multi-criteria decision analysis withfuzzy pairwise comparisons. Fuzzy Set. Syst.29(2):133–143.

Bozbura, F.T. and Beskese, A. (2007). Prioritization oforganizational capital measurement indicatorsusing fuzzy AHP. I. J. Approx. Reason., 44(2):124-147.

Bozbura, F.T., Beskese, A., and Kahraman, C. (2007).Prioritization of human capital measurementindicators using fuzzy AHP. Expert Syst. Appl.,32(4):1100-1112.

Braglia, M., Grassi, A., and Montanari, R. (2004).Multi-attribute classification method for spareparts inventory management. J. Qual. Maint.Eng., 10(1):55-65

’Buckley, J.J. (1985). Fuzzy hierarchical analysis. FuzzySet. Syst., 17(3):233-247.

Buyukozkam, G. and Feyziog~ lu, O. (2004). Afuzzy-logic-based decision-making approach fornew product development. Int. J. Prod. Econ.,90(1):27-45.

Chang, D.Y. (1992). Extent analysis and syntheticdecision. Optim. Tech. Appl., 1:352-355.

Chang, D.Y. (1996). Applications of the extent analysismethod on fuzzy AHP. Eur. J. Oper. Res.,95(3):649-655.

Chang, C.W., Wu, C.R., and Lin, H.L. (2009). Applyingfuzzy hierarchy multiple attributes to constructan expert decision making process. Expert Syst.Appl., 36(4):7363-7368.

Chase, R.B., Jacobs, F.R., Aquilano, N.J., and Agarwal,N.K. (2006). Operations Management forCompetitive Advantage. 11th ed, McGraw Hill,NY, USA, 806p.

Chen, Y., Li, K.W., Kilgour, D.M., and Hipel, K.W.(2008). A case-based distance model for multiplecriteria ABC analysis. Comput. Oper. Res.,35(3):776-796.

Csutora, R. and Buckley, J.J. (2001). Fuzzy hierarchicalanalysis: The Lambda-Max Method. Fuzzy Set.Syst., 120:181–195.

Davies, M.A.P. (1994). A multicriteria decision modelapplication for managing group decisions. J. Oper.Res. Soc., 45(1):47-58.

Flores, B.E. and Whybark, D.C. (1986). MultipleCriteria ABC Analysis. Int. J. Oper. Prod. Man.,6(3):38-46.

Flores, B.E. and Whybark, D.C. (1987). Implementingmultiple criteria ABC analysis. J. Oper. Manag.,7(1):79-84.

Flores, B.E., Olson, D.L., and Dorai, V.K. (1992).Management of multicriteria inventory classification.Math. Comput. Model., 16(12):71-82.

Guvenir, H.A. and Erel, E. (1998). Multicriteria inventoryclassification using a genetic algorithm. Eur.J. Oper. Res., 105(1):29-37.

Hadi-Vencheh, A. (2010). An improvement to multiplecriteria ABC inventory classification. Eur J. Oper.Res., 201(3):962-965.

Jamshidi, H. and Jain, A. (2008). Multi-Criteria ABCinventory classification: with exponentialsmoothing weights. J. Glob. Bus. Iss., 2(1):61-67.

Kabir, G. and Hasin, M.A.A. (2011). Evaluation ofCustomer Oriented Success Factors in MobileCommerce Using Fuzzy AHP. J. Ind. Eng. Manag.,4(2):361-386.

Kahraman, C., Cebeci, U., and Ruan, D. (2004).Multi-attribute comparison of catering servicecompanies using fuzzy AHP: the case of Turkey.Int. J. Prod. Econ., 87(2):171-184.

Liu, Q. and Huang, D. (2006). Classifying ABCinventory with multicriteria using a dataenvelopment analysis approach. Proceedings ofthe 6th International Conference on IntelligentSystems Design and Applications (ISDA’106);Oct 16-18; Jinan, China, 01:1185-1190.

Meixner, O. (2009). Fuzzy AHP group decision analysisand its application for the evaluation of energysources 2. Proceedings of the 10th InternationalSymposium on the Analytic Hierarchy/NetworkProcess Multi-criteria Decision Making, July 29- Aug 1, Pittsburgh, PA, USA, p. 1-14.

Mikhailov, L. (2003). Deriving priorities from fuzzypairwise comparison judgements. Fuzzy Set. Syst.,134(3):365-385.

Nahmias, S. (2004). Production and OperationsAnalysis. 5th ed, Irwin/McGraw Hill, Burr Ridge,IL, USA, 858p.

Partovi, F.Y. and Burton, J. (1993). Using the analytichierarchy process for ABC analysis. Int. J. Prod.Oper. Manag., 13(9):29-44.Partovi, F.Y. and Anandarajan, M. (2002). Classifyinginventory using and artificial neural networkapproach. Comput. Ind. Eng., 41(4):389-404

Ramanathan, R. (2006). ABC inventory classificationwith multiple-criteria using weighted linearoptimization. Comput. Oper. Res., 33(3):695-700.

Saaty, T.L. (1980). The Analytic Hierarchy Process.McGraw-Hill, New York, USA.

Saaty, T.L. (1998). The Analytic Hierarchy Process:Planning, Priority Setting, Resource Allocation.RWS Publications, Pittsburgh, PA, USA.

Simunovic, K., Simunovic, G., and Saric, T. (2009).Application of Artificial Neural Networks toMultiple Criteria Inventory Classification.Strojarstvo, 51(4):313-321.

Wang, Y.M., Yang, J.B., and Xu, D.L. (2005). Atwo-stage logarithmic goal programming methodfor generating weights from interval comparisonmatrices. Fuzzy Set. Syst., 152:475-498.

Xu, R. (2000). Fuzzy least square priority method in theanalytic hierarchy process. Fuzzy Set. Syst.,112(3):395-404.

Yu, M.C. (2011). Multi-criteria ABC analysis usingartificial-intelligence-based classificationtechniques. Expert Syst. Appl., 38(4):3416-3421.

Zadeh, L.A. (1965). Fuzzy sets. Inform. Control,8(3):338-353.

Zhou, P. and Fan, L. (2007). A note on multi-criteriaABC inventory classification using weightedlinear optimization. Eur. J. Oper. Res.,182(3):1488-1491.

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Published

2026-08-27

How to Cite

Kabir, G., & Akhtar Hasin, M. A. (2026). MODIFIED FUZZY ANALYTICAL HIERARCHY PROCESS FOR MULTIPLE CRITERIA INVENTORY CLASSIFICATION. Suranaree Journal of Science and Technology, 18(4), 255–265. retrieved from https://ph04.tci-thaijo.org/index.php/SUJST/article/view/13763

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Section

Research Article