Automobile Tire Assessment: A Multi-Criteria Approach

Authors

  • . Ateekh-Ur-Rehman Department of Industrial Engineering, King Saud University, Saudi Arabia
  • M. Alkahtani Industrial Engineering Department, King Saud University, Saudi Arabia
Volume: 7 | Issue: 1 | Pages: 1363-1368 | February 2017 | https://doi.org/10.48084/etasr.797

Abstract

In response to the present dynamic market, automobile manufacturing industries are constantly evaluating and improving their manufacturing strategies to stay competitive. It is also evident that they evaluate those strategies considering multiple criteria. In one such case, an automobile project manager has to ensure that the selected tire (among the available alternatives) complies with the prospective automobile’s performance. This paper presents an approach for the assessment of alternative automobile tires taking into account multiple criteria, such as tire sustainability, tire road performance, environmental issues, tire purchase cost and tire road grip. The presented approach is quite helpful to any decision maker who is interested not only in ranking alternatives but also in establishing the superiority of an alternative over others. The approach also helps to specify the position of each alternative with respect to ideal solution. A case illustration is used to demonstrate an application of the approach.

Keywords:

automobile tire, multi-criteria, decision making

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References

B. Rodgers, W. Waddell, “Tire Engineering Science and Technology of Rubber”, Science and Technology of Rubber, Elsevier, 2005 DOI: https://doi.org/10.1016/B978-012464786-2/50017-1

M. J. L. Boada, B. L. Boada, D. Garcia-Pozuelo, V. Diazet, “Neural-empirical tire model based on recursive lazy learning under combined longitudinal and lateral slip conditions”, International Journal of Automotive Technology, Vol.12, No.6, pp.821-829, 2011 DOI: https://doi.org/10.1007/s12239-011-0094-9

R. S. Vieira, L. C. Nicolazzi, N. Roqueiro, “Four-wheel vehicle kinematic and geometric constraints for definition of tire slip angle”, International Journal of Automotive Technology, Vol. 13, No. 4, pp. 553-562, 2012 DOI: https://doi.org/10.1007/s12239-012-0053-0

N. T. Ratrout, “Tire condition and drivers practice in maintaining tires in Saudi Arabia”, Accident Analysis & Prevention, Vol. 37,No. 1, pp. 201-206, 2005 DOI: https://doi.org/10.1016/j.aap.2003.03.001

N. T. Rarout, I. A. Mahmoud, “Adequacy of the tensile/elongation test as a quality control criterion for vehicle tires”, Polymer Testing, Vol. 25, No. 5, pp. 588-596, 2006 DOI: https://doi.org/10.1016/j.polymertesting.2006.01.017

M. A. Boodihal, A. Chethan, R. Swamy, K. P. Biligiri, “Development of tire/road noise assessment methodology in India”, Case Studies in Construction Materials, Vol. 1, pp. 115-124, 2014 DOI: https://doi.org/10.1016/j.cscm.2014.06.001

N. T. Ratrout, “Evaluation of Passenger Car Tire Failure in Saudi Arabia”, Arabian Journal for Science and Engineering, Vol. 36, No. 5, pp. 749-760, 2011 DOI: https://doi.org/10.1007/s13369-011-0069-1

M. Velasquez, P. T. Hester, “An Analysis of Multi-Criteria Decision Making Methods”, International Journal of Operations Research, Vol. 10, No. 2, pp. 56-66, 2013

T. L. Saaty, Decision making with dependence and feedback the analytic network process, RWS Publications, Pittsburgh, 1996

T. L. Saaty, The analytic hierarchy process. McGraw-Hill, New York, 1980 DOI: https://doi.org/10.21236/ADA214804

P. Aragonés-Beltrán, F. Chaparro-González, J. P. Pascual Pastor-Ferrando, A. Pla-Rubio, “An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects”, Energy, Vol. 66, pp. 222-238, 2014 DOI: https://doi.org/10.1016/j.energy.2013.12.016

J. Oberschmidt, J. Geldermann, J. Ludwig, M. Schmehl. “Modified PROMETHEE approach for assessing energy technologies”. International Journal of Energy Sector Management, Vol. 4, No. 2, pp. 183-212, 2010 DOI: https://doi.org/10.1108/17506221011058696

M. Beccali, M. Cellura, M. Mistretta, “Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology”, Renewable Energy, Vol. 28, N o. 13, pp. 2063-2087, 2003 DOI: https://doi.org/10.1016/S0960-1481(03)00102-2

C. L. Hwang, K. Yoon, Multiple Attribute Decision Making: Methods and Applications, New York: Springer-Verlag, 1981 DOI: https://doi.org/10.1007/978-3-642-48318-9

C. L. Hwang, Y. J. Lai, T. Y. Liu, “A new approach for multiple objective decision making”, Computers and Operational Research, Vol. 20, pp. 889–899, 1993 DOI: https://doi.org/10.1016/0305-0548(93)90109-V

R. Narain, R. C. Yadav, J. Sarkis. “Investment justification of advanced manufacturing technology: a review”, International Journal of Services and Operations Management, Vol. 3, No. 1, pp. 41–73, 2007 DOI: https://doi.org/10.1504/IJSOM.2007.011461

P. Putrus, “Accounting for intangibles in integrated manufacturing-non-financial justification based on analytical hierarchy process”, Information Strategy, Vol. 6, pp. 25–30, 1990

A. K. Sharma, K. P. Pandey. “Matching tire size to weight speed and power available for maximizing pulling ability of agricultural tractors”, Journal of Terramechanics, Vol. 38, pp. 89-97, 2001 DOI: https://doi.org/10.1016/S0022-4898(00)00013-6

S. J. Kim, K. S. Kim, Y. S. Yoon. “Development of a tire model based on an analysis of tire strain obtained by an intelligent tire system”, International Journal of Automotive Technology, Vol. 16, No. 5, pp. 865-875, 2015 DOI: https://doi.org/10.1007/s12239-015-0088-0

M. M. Da Silva, R. H. Cunha, A. C. Neto, “A simplified model for evaluating tire wear during conceptual design”, International Journal of Automotive Technology, Vol. 13, No. 6, pp. 915-922, 2012 DOI: https://doi.org/10.1007/s12239-012-0092-6

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How to Cite

[1]
. Ateekh-Ur-Rehman and M. Alkahtani, “Automobile Tire Assessment: A Multi-Criteria Approach”, Eng. Technol. Appl. Sci. Res., vol. 7, no. 1, pp. 1363–1368, Feb. 2017.

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