Optimization of Material Handling System through Material Handling Equipment Selection

Muhammad Zubair, Shahid Maqsood, Muhammad Omair, Ishrat Noor


In today’s competitive world, it is a very difficult and complex task to select one alternative from different sets of
alternatives especially when the data are vague and inexact. This paper focuses on the application of one of multi-criteria
decision-making tools called the Analytical Hierarchy Process (AHP) for the selection of material handling equipment at a
local industry in order to optimize the material handling system. Questionnaires were developed and distributed among
experts, employees, and workers working in the industry. The measure of central tendency (Mean) calculated from the data
was used as an input for the pair-wise exchange matrix. The selection was subject to four criteria with each having three subcriteria. The overall results showed that AGV’s are more significant for material handling in the pharmaceutical industry
as compared to forklift and conveyor belt.


Analytical Hierarchy Process, Manufacturing, Material Handling system, Productivity

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Tompkins, J.A. and R. Reed Jr, An applied model for the facilities design problem. The International Journal Of Production Research,

14(5): p. 583-595.

Ziai, M.R. and D.R. Sule, Computerized materials handling and facility layout design. Computers & industrial engineering, 1989. 17(1-

: p. 55-60.

Ioannou, G., An integrated model and a decomposition-based approach for concurrent layout and material handling system design.

Computers & Industrial Engineering, 2007. 52(4): p. 459-485.

Dağdeviren, M., Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of intelligent

manufacturing, 2008. 19(4): p. 397-406.

White, J.A., Facilities Planning. 1996: John Wiley & Sons, Incorporated.

Kulak, O., A decision support system for fuzzy multi-attribute selection of material handling equipments. Expert systems with

applications, 2005. 29(2): p. 310-319.

Sule, D.R., Manufacturing facilities: location, planning, and design. 2008: CRC press.

Fisher, E.L., J.B. Farber, and M.G. Kay, MATHES: an expert system for material handling equipment selection. Engineering Costs and

Production Economics, 1988. 14(4): p. 297-310.

Kabuka, M., A. Genaidy, and S.S. Asfour, A knowledge-based system for the design of manual materials handling. Applied ergonomics,

19(2): p. 147-155.

Malmborg, C.J., et al., A prototype expert system for industrial truck type selection. Industrial Engineering, 1987. 19(3): p. 58-64.

Matson, J., J. Mellichamph, and S. Swaminathan, EXCITE: Expert consultant for in-plant transportation equipment. The International

Journal of Production Research, 1992. 30(8): p. 1969-1983.

Büyüközkan, G., et al., Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic

network approach. International Journal of Intelligent Systems, 2004. 19(5): p. 443-461.

Nelson, C.A., A scoring model for flexible manufacturing systems project selection. European Journal of Operational Research, 1986.

(3): p. 346-359.

Sloggy, J.E., How to justify the cost of an FMS. Tooling & Production, 1984. 50(9): p. 72-75.

Kahraman, C., U. Cebeci, and D. Ruan, Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey.

International journal of production economics, 2004. 87(2): p. 171-184.

De Boer, L., L. van der Wegen, and J. Telgen, Outranking methods in support of supplier selection. European Journal of Purchasing &

Supply Management, 1998. 4(2-3): p. 109-118.

Deng, H., C.-H. Yeh, and R.J. Willis, Inter-company comparison using modified TOPSIS with objective weights. Computers &

Operations Research, 2000. 27(10): p. 963-973.

Suh, H., Axiomatic Design: advances and applications MIT-Pappalardo series in Mechanical Engineering. 2001: Oxford University

Press, USA.

Suh, N.P., The principles of design (oxford series on advanced manufacturing). 1990.

Kim, S.-J., N.P. Suh, and S.-G. Kim, Design of software system based on axiomatic design. CIRP annals, 1991. 40(1): p. 165-170.

Suh, N.P., Designing-in of quality through axiomatic design. IEEE Transactions on reliability, 1995. 44(2): p. 256-264.

Suh, N.P., Design of systems. CIRP Annals, 1997. 46(1): p. 75-80.

Suh, N.P., D.S. Cochran, and P.C. Lima, Manufacturing system design. CIRP Annals, 1998. 47(2): p. 627-639.

Babic, B., Axiomatic design of flexible manufacturing systems. International Journal of Production Research, 1999. 37(5): p. 1159-1173.

Chen, S.-J.G., L.-C. Chen, and L. Lin, Knowledge-based support for simulation analysis of manufacturing cells. Computers in industry,

44(1): p. 33-49.

Kulak, O., M.B. Durmusoglu, and S. Tufekci, A complete cellular manufacturing system design methodology based on axiomatic design

principles. Computers & Industrial Engineering, 2005. 48(4): p. 765-787.

Kulak, O. and C. Kahraman, Fuzzy multi-attribute transportation company selection among the alternatives using axiomatic design and

analytic hierarchy process. Information Sciences, 2005. 170(2-4).

Chakraborty, S. and D. Banik, Design of a material handling equipment selection model using analytic hierarchy process. The

International Journal of Advanced Manufacturing Technology, 2006. 28(11-12): p. 1237-1245.

Tuzkaya, G., et al., An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem

and an application. Expert systems with applications, 2010. 37(4): p. 2853-2863.

Bozbura, F.T., A. Beskese, and C. Kahraman, Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems

with Applications, 2007. 32(4): p. 1100-1112.

Bellman, R.E. and L.A. Zadeh, Decision-making in a fuzzy environment. Management science, 1970. 17(4): p. B-141-B-164.

Saaty, T.L., Analytic heirarchy process. Wiley statsRef: Statistics reference online, 2014.

Farag, M.M., Materials selection for engineering design. 1997: Prentice Hall.

Pöyhönen, M. and R.P. Hämäläinen, On the convergence of multiattribute weighting methods. European Journal of Operational

Research, 2001. 129(3): p. 569-585.

Shannon, C.E., A mathematical theory of communication. Bell system technical journal, 1948. 27(3): p. 379-423.

Hwang, C. and M. Lin, Group Decision Making under Multiple Criteria: Methods and Applications. 1987. Springer, Berlin.

Amin, S.H. and J. Razmi, An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation. Expert

systems with applications, 2009. 36(4): p. 8639-8648.

Partovi, F.Y., Determining what to benchmark: an analytic hierarchy process approach. International Journal of Operations & Production

Management, 1994. 14(6): p. 25-39.

Nydick, R.L. and R.P. Hill, Using the analytic hierarchy process to structure the supplier selection procedure. International Journal of

Purchasing and Materials Management, 1992. 28(2): p. 31-36.

Golden, B.L., E.A. Wasil, and P.T. Harker, The analytic hierarchy process. Applications and Studies, Berlin, Heidelberg, 1989.

Mohanty, R. and S. Deshmukh, Use of analytic hierarchic process for evaluating sources of supply. International Journal of Physical

Distribution & Logistics Management, 1993. 23(3): p. 22-28.

Frazelle, E., Suggested techniques enable multi-criteria evaluation of material handling alternatives. Industrial Engineering, 1985. 17(2):

p. 42-48.

Wabalickis, R.N., Justification of FMS with the analytic hierarchy process. Journal of Manufacturing Systems, 1988. 7(3): p. 175-182.

Mohanty, R. and S. Venkataraman, Use of the analytic hierarchy process for selecting automated manufacturing systems. International

Journal of Operations & Production Management, 1993. 13(8): p. 45-57.

Cheng, C.-H. and D.-L. Mon, Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales. Fuzzy Sets and

Systems, 1994. 63(1): p. 1-10.

Fong, P.S.-W. and S.K.-Y. Choi, Final contractor selection using the analytical hierarchy process. Construction Management and

Economics, 2000. 18(5): p. 547-557.

Handfield, R., et al., Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy

Process. European Journal of Operational Research, 2002. 141(1): p. 70-87.

DOI: http://dx.doi.org/10.52155/ijpsat.v15.2.1157


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