Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 12, 2021
Advances in Modeling and Optimization of Manufacturing Processes
Article Number 8
Number of page(s) 11
DOI https://doi.org/10.1051/smdo/2021008
Published online 24 June 2021
  1. B. Rodgers, W. Waddell, Tire engineering science and technology of rubber, Science and Technology of Rubber (Elsevier, 2005) [Google Scholar]
  2. M.J.L. Boada et al., Neuralempirical tire model based on recursive lazy learning under combined longitudinal and lateral slip conditions, Int. J. Automotive Technol. 12, 821–829 (2011) [CrossRef] [Google Scholar]
  3. R.S. Vieira, L.C. Nicolazzi, N. Roqueiro, Four-wheel vehicle kinematic and geometric constraints for definition of tire slip angle, Int. J. Automotive Technol. 13, 553–562 (2012) [CrossRef] [Google Scholar]
  4. N.T. Ratrout, Tire condition and drivers practice in maintaining tires in Saudi Arabia, Accid. Anal. Prevention 37, 201206 (2005) [CrossRef] [Google Scholar]
  5. N.T. Rarout, I.A. Mahmoud, Adequacy of the tensile/elongation test as a quality control criterion for vehicle tires, Polymer Test. 25, 588–596 (2006) [CrossRef] [Google Scholar]
  6. M.A. Boodihal et al., Development of tire/road noise assessment methodology in India, Case Stud. Constr. Mater. 1, 115–124 (2014) [Google Scholar]
  7. N.T. Ratrout, Evaluation of passenger car tire fgailure in Saudi Arabia, Arab. J. Sci. Eng. 36, 749–760 (2011) [CrossRef] [Google Scholar]
  8. A. Carcaterra, N. Roveri, Tire grip identification based on strain information: theory and simulations, Mech. Syst. Signal Process. 41, 564–580 (2013) [CrossRef] [Google Scholar]
  9. A. Weyssenhoff et al., Characteristics and investigation of selected manufacturing defects of passenger car tires, in: 13th International Scientific Conference on Sustainable, Modern and Safe Transport (TRANSCOM 2019), High Tatras , May 29–31, 2019, Novy Smokovec − Grand Hotel Bellevue, Slovak Republic [Google Scholar]
  10. P.P. Pattanaik, V. Balu, Plus size tire: effect on the performance of the vehicle, Mater. Today: Proc., available online 28 April 2021 [Google Scholar]
  11. H. Mousavi, C. Sandu, Tire-ice model development for the simulation of rubber compounds effect on tire performance, J. Terramech. 91, 97–115 (2013) [CrossRef] [Google Scholar]
  12. R. He, C. Sandu, M.N. Shenvi, H. Mousavi, J. Carrillo, J.E. Osorio, Laboratory experimental study of tire tractive performance on soft soil: towing mode, traction mode, and multi-pass effect, J. Terramech. 95, 33–58 (2021) [CrossRef] [Google Scholar]
  13. K. Cosseron et al., Optimized gauging for tire–rim loading identification, Eur. J. Mech.A/Solids 87, 104192 (2021) [CrossRef] [Google Scholar]
  14. C. Kang, S. Huang, A. Bayat, Compressibility characteristics of TDA from OTR (off-the-road) tires: a numerical approach, Transport. Geotech. 29, 100561 (2021) [CrossRef] [Google Scholar]
  15. X. Gao, Y. Zhuang, S. Liu, High-speed 3D digital image correlation for measuring tire rolling resistance coefficient, Measurement 171, 108830 (2021) [CrossRef] [Google Scholar]
  16. X. Gao et al., Modeling and experimental study of tire deformation characteristics under high-speed rolling condition, Polymer Test. 107052 (2021) [CrossRef] [Google Scholar]
  17. X. Wang, Automotive Tire Noise and Vibrations, 1st edn., Analysis, Measurement and Simulation, (Butterworth-Heinemann, (2020) [Google Scholar]
  18. L. Chen, L. Cong, Y. Dong, G. Yang, B. Tang, X. Wang, H. Gong, Investigation of influential factors of tire/pavement noise: a multilevel Bayesian analysis of full-scale track testing data, Constr. Build. Mater. 270, 121484 (2021) [CrossRef] [Google Scholar]
  19. M. Cutini, M. Brambilla, P. Toscano, C. Bisaglia, G. Abbati, G. Meloro, Evaluation of drawbar performance of winter tyres for special purpose vehicles, J. Terramech. 87, 29–36 (2020) [CrossRef] [Google Scholar]
  20. S. Mohammadi, A. Ohadi, A novel approach to design quiet tires, based on multi-objective minimization of generated noise, Appl. Acoustics 175, 107825 (2021) [CrossRef] [Google Scholar]
  21. A.-U. Rehman, M. Alkahtani, Automobile tire assessment: a multi-criteria approach, Eng. Technol. Appl. Sci. Res. 7, 1363–1368 (2017) [CrossRef] [Google Scholar]
  22. C.-T. Chang, Binary fuzzy goal programming , Eur. J. Operat. Res. 180, 29–37 (2007) [CrossRef] [Google Scholar]
  23. R. Jayaraman, C. Colapinto, D. Torre, T. Malik, Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates, Energy Policy 87, 447–454 (2015) [CrossRef] [Google Scholar]
  24. A.P. dos Santos Rubem, J.C.C.B. Soares de Mello, L.A. Meza, A goal programming approach to solve the multiple criteria DEA model, Eur. J. Oper. Res. 260, 134–139 (2017) [CrossRef] [Google Scholar]
  25. D. Broz, N. Vanzetti, G. Corsano, J.M. Montagna, Goal programming application for the decision support in the daily production planning of sawmills, Forest Policy Econ. 102, 29–40 (2019) [CrossRef] [Google Scholar]
  26. G.R. Amin, S. Al-Muharrami, M. Toloo, Combined goal programming and inverse DEA method for target setting in mergers, Expert Syst. Appl. 115, 412–417 (2019) [CrossRef] [Google Scholar]
  27. H.-P. Ho, The supplier selection problem of a manufacturing company using the weighted multi-choice goal programming and MINMAX multi-choice goal programming , Appl. Math. Modell. 75, 819–836 (2019) [CrossRef] [Google Scholar]
  28. R. Al-Husain, R. Khorramshahgol, Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains, Oper. Res. Perspect. 7 (2020) [Google Scholar]
  29. S. Coniglio, F. Furini, P.S. Segundo, A new combinatorial branch-and-bound algorithm for the Knapsack Problem with Conflicts, Eur. J. Oper. Res. 289, 435–455 (2021) [CrossRef] [Google Scholar]
  30. J. Gmys, M. Mezmaz, N. Melab, D. Tuyttens, A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem, Eur. J. Oper. Res. 284, 814–833 (2020) [CrossRef] [Google Scholar]
  31. F. Theurich, A. Fischer, G. Scheithauer, A branch-and-bound approach for a Vehicle Routing Problem with Customer Costs, EURO J. Comput. Optimiz. 9, 100003 (2021) [CrossRef] [Google Scholar]
  32. M. Becker, N. Ginoux, S. Martin, Z. Roka, Tire Noise Optimization Problem: A Mixed Integer Linear Program Approach, CoRR abs/1809.05058 (2018) [Google Scholar]

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