Material Handling Equipment Selection using Hybrid Monte Carlo Simulation and Analytic Hierarchy Process
The many feasible alternatives and conflicting
objectives make equipment selection in materials handling a
complicated task. This paper presents utilizing Monte Carlo (MC)
simulation combined with the Analytic Hierarchy Process (AHP) to
evaluate and select the most appropriate Material Handling
Equipment (MHE). The proposed hybrid model was built on the base
of material handling equation to identify main and sub criteria critical
to MHE selection. The criteria illustrate the properties of the material
to be moved, characteristics of the move, and the means by which the
materials will be moved. The use of MC simulation beside the AHP
is very powerful where it allows the decision maker to represent
his/her possible preference judgments as random variables. This will
reduce the uncertainty of single point judgment at conventional AHP,
and provide more confidence in the decision problem results. A small
business pharmaceutical company is used as an example to illustrate
the development and application of the proposed model.
[1] S. Ray, Introduction to Materials Handling, Daryaganj, Delhi: New
Age International, 2008, ch. 1.
[2] J. A. Tompkins. J. A. White, Y. A. Bozer. E. H. Frazelle, J. M.
Tanchoco, and J. Trevino, Facilities Planning, 3rd edition, New York:
Wiley, 2003, pp. 137-287.
[3] S. Sujono, and R. S. Lashkari, "A multi-objective model of operation
allocation and material handling selection in FMS design",
International Journal of production economics, vol. 105, pp. 116-133,
2007.
[4] O. Kulak, "A decision support system for fuzzy multi-attribute selection
of material handling equipments", Expert Systems with Applications,
vol. 29, pp.310-319, 2005.
[5] S. Onut, S. S. Kara, and S. Mert, "Selecting the suitable material
handling equipment in the presence of vagueness", International
Journal of Advanced Manufacturing Technology, vol. 44, pp. 818-828,
2009.
[6] S. Chakraborty, and D. Banik, "Design of a material handling
equipment selection model using analytic hierarchy process",
International Journal of Advanced Manufacturing Technology, vol. 28,
pp. 1237-1245, 2006.
[7] F. T. S. Chan, R. W. L. lp, and H. Lau, "Integration of expert system
with analytic hierarchy process for the design of material handling
equipment selection system", Journal of Material Processing
Technology, vol. 116, Issues 2-3, pp. 137-145, October 2001.
[8] G. Tuzkaya, B. Gulsun, C. Kahraman, and D. Ozgen, " An integrated
fuzzy multi-criteria decision making methodology for material handling
equipment selection problem and an application, Expert Systems with
Applications, Vol. 37, pp. 2853-2863, 2010.
[9] M. Doumpos, and C. Zopounidis, Multicriteria Decision Aid
Classification Methods, NJ: Kluwewr Academic Publishers, 2002, ch.
3&4.
[10] P. Goodwin, and G. Wright, Decision Analysis for Management
Judgments, 4the edition, Chichester, UK: Wiley, 2009.
[11] R. S. Lashkari, R. Boparai, and J. Paulo, "Towards an integrated model
of operation allocation and material handling selection in cellular
manufacturing systems", International Journal of Production
Economics, vol. 87, pp. 115-139, 2004.
[12] H. R. Sayarshad, "Using bees algorithm for material handling
equipment planning in manufacturing systems", International Journal
of Advanced Manufacturing Technology, vol. 48, pp. 1009-1018, 2010.
[13] S. H. L. Mirhosseyni, and P. Webb, " A hybrid fuzzy knowledge-based
expert system and genetic algorithm for efficient selection and
assignment of material handling equipment", Expert Systems with
Applications, Vol. 36, pp. 11875-11887, 2009
[14] R. V. Rao, Decision Making in the Manufacturing Environment, 1st
edition, London: Springer-Verlag, 2007, ch. 15.
[15] E. S. Rosenbloom, "A probabilistic interpretation of the final rankings
in AHP", European Journal of Operations Research, vol. 96, pp. 371-
378, 1996.
[16] O. S. Vaidya, and S. Kumar, "Analytic hierarchy process: an overview
of applications", European Journal of Operations Research, vol. 169,
pp. 1-29, 2006.
[17] A. Ishizaka, and A. Labib, "Review of the main developments in the
analytic hierarchy process", Expert Systems with Applications, vol. 38,
pp. 14336-14345, 2011.
[18] T. L. Saaty, "Decision making with the analytic hierarchy process",
International Journal of Service Sciences, vol. 1, No. 1, pp. 83-98,
2008.
[19] R. Banuelas, and J. Antony, "Modified analytic hierarchy process to
incorporate uncertainty and managerial aspects", International Journal
of Production Research, vol. 42, No. 18, pp. 3851-3872, 2004.
[20] G. Manassero et al, "A new method to cope with decision makers-
uncertainty in the equipment selection process", CIRP Annals-
Manufacturing Technology, vol. 53, Issue 1, pp. 389-392, 2004.
[21] C. Yu, "A GP-AHP method for solving decision-making fuzzy AHP
problems", Computers & Operations Research, vol. 29, pp. 1969-2001,
2002.
[22] P. Jaskowski, S. Biruk, and R. Bucon, "Assesing contractor selection
criteria weights with fuzzy method application in group decision
environment", Automation in construction, vol. 19, pp. 120-126, 2010.
[23] T. Hsu,and F. F. C. Pan, "Application of Monte Carlo AHP in ranking
dental quality attributes", Expert Systems with Applications, vol. 36, pp.
2310-2316, 2009.
[1] S. Ray, Introduction to Materials Handling, Daryaganj, Delhi: New
Age International, 2008, ch. 1.
[2] J. A. Tompkins. J. A. White, Y. A. Bozer. E. H. Frazelle, J. M.
Tanchoco, and J. Trevino, Facilities Planning, 3rd edition, New York:
Wiley, 2003, pp. 137-287.
[3] S. Sujono, and R. S. Lashkari, "A multi-objective model of operation
allocation and material handling selection in FMS design",
International Journal of production economics, vol. 105, pp. 116-133,
2007.
[4] O. Kulak, "A decision support system for fuzzy multi-attribute selection
of material handling equipments", Expert Systems with Applications,
vol. 29, pp.310-319, 2005.
[5] S. Onut, S. S. Kara, and S. Mert, "Selecting the suitable material
handling equipment in the presence of vagueness", International
Journal of Advanced Manufacturing Technology, vol. 44, pp. 818-828,
2009.
[6] S. Chakraborty, and D. Banik, "Design of a material handling
equipment selection model using analytic hierarchy process",
International Journal of Advanced Manufacturing Technology, vol. 28,
pp. 1237-1245, 2006.
[7] F. T. S. Chan, R. W. L. lp, and H. Lau, "Integration of expert system
with analytic hierarchy process for the design of material handling
equipment selection system", Journal of Material Processing
Technology, vol. 116, Issues 2-3, pp. 137-145, October 2001.
[8] G. Tuzkaya, B. Gulsun, C. Kahraman, and D. Ozgen, " An integrated
fuzzy multi-criteria decision making methodology for material handling
equipment selection problem and an application, Expert Systems with
Applications, Vol. 37, pp. 2853-2863, 2010.
[9] M. Doumpos, and C. Zopounidis, Multicriteria Decision Aid
Classification Methods, NJ: Kluwewr Academic Publishers, 2002, ch.
3&4.
[10] P. Goodwin, and G. Wright, Decision Analysis for Management
Judgments, 4the edition, Chichester, UK: Wiley, 2009.
[11] R. S. Lashkari, R. Boparai, and J. Paulo, "Towards an integrated model
of operation allocation and material handling selection in cellular
manufacturing systems", International Journal of Production
Economics, vol. 87, pp. 115-139, 2004.
[12] H. R. Sayarshad, "Using bees algorithm for material handling
equipment planning in manufacturing systems", International Journal
of Advanced Manufacturing Technology, vol. 48, pp. 1009-1018, 2010.
[13] S. H. L. Mirhosseyni, and P. Webb, " A hybrid fuzzy knowledge-based
expert system and genetic algorithm for efficient selection and
assignment of material handling equipment", Expert Systems with
Applications, Vol. 36, pp. 11875-11887, 2009
[14] R. V. Rao, Decision Making in the Manufacturing Environment, 1st
edition, London: Springer-Verlag, 2007, ch. 15.
[15] E. S. Rosenbloom, "A probabilistic interpretation of the final rankings
in AHP", European Journal of Operations Research, vol. 96, pp. 371-
378, 1996.
[16] O. S. Vaidya, and S. Kumar, "Analytic hierarchy process: an overview
of applications", European Journal of Operations Research, vol. 169,
pp. 1-29, 2006.
[17] A. Ishizaka, and A. Labib, "Review of the main developments in the
analytic hierarchy process", Expert Systems with Applications, vol. 38,
pp. 14336-14345, 2011.
[18] T. L. Saaty, "Decision making with the analytic hierarchy process",
International Journal of Service Sciences, vol. 1, No. 1, pp. 83-98,
2008.
[19] R. Banuelas, and J. Antony, "Modified analytic hierarchy process to
incorporate uncertainty and managerial aspects", International Journal
of Production Research, vol. 42, No. 18, pp. 3851-3872, 2004.
[20] G. Manassero et al, "A new method to cope with decision makers-
uncertainty in the equipment selection process", CIRP Annals-
Manufacturing Technology, vol. 53, Issue 1, pp. 389-392, 2004.
[21] C. Yu, "A GP-AHP method for solving decision-making fuzzy AHP
problems", Computers & Operations Research, vol. 29, pp. 1969-2001,
2002.
[22] P. Jaskowski, S. Biruk, and R. Bucon, "Assesing contractor selection
criteria weights with fuzzy method application in group decision
environment", Automation in construction, vol. 19, pp. 120-126, 2010.
[23] T. Hsu,and F. F. C. Pan, "Application of Monte Carlo AHP in ranking
dental quality attributes", Expert Systems with Applications, vol. 36, pp.
2310-2316, 2009.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:64485", author = "Amer M. Momani and Abdulaziz A. Ahmed", title = "Material Handling Equipment Selection using Hybrid Monte Carlo Simulation and Analytic Hierarchy Process", abstract = "The many feasible alternatives and conflicting
objectives make equipment selection in materials handling a
complicated task. This paper presents utilizing Monte Carlo (MC)
simulation combined with the Analytic Hierarchy Process (AHP) to
evaluate and select the most appropriate Material Handling
Equipment (MHE). The proposed hybrid model was built on the base
of material handling equation to identify main and sub criteria critical
to MHE selection. The criteria illustrate the properties of the material
to be moved, characteristics of the move, and the means by which the
materials will be moved. The use of MC simulation beside the AHP
is very powerful where it allows the decision maker to represent
his/her possible preference judgments as random variables. This will
reduce the uncertainty of single point judgment at conventional AHP,
and provide more confidence in the decision problem results. A small
business pharmaceutical company is used as an example to illustrate
the development and application of the proposed model.", keywords = "Analytic Hierarchy Process (AHP), Materialhandling equipment selection, Monte Carlo simulation, Multi-criteriadecision making", volume = "5", number = "11", pages = "2527-6", }
