Study and modelling of the handling of equipment: case of a self-propelled handling truck

  • Authors

    • Ngnassi Djami Aslain Brisco Dr
    • Ngnassi Nguelcheu Ulrich
    • Doka Yamigno Serge
    2024-01-06
    https://doi.org/10.14419/r5f8y375

  • This paper is the result of an industrial problem relating to the trauma suffered by forklift truck drivers when their trucks roll over sideways. The general objective of this paper was to model the forklift truck and the operator in order to test the different accident conditions. Specifically, a parameterised model of the forklift truck and driver was statically and dynamically modelled. This model can be used to represent most cantilever and counterbalanced forklift trucks with a nominal capacity of 2,000 to 3,000 kg, whether they are powered by petrol, propane or electricity. The forklift operator was represented by a 50th percentile Hybrid III dummy. A range of safety systems (lap belt, armrests, shoulder restraints, doors) and different rollover conditions were tested: low speed (static) and high speed (dynamic). This interface is used to enter the parameters required to create models of the truck and driver, and to define the accident conditions. The results of the static and dynamic simulations show that the models of the truck and driver are functional and relatively realistic, at least according to the limited data available in the literature and according to those involved in the field. The results show that the type of floor has little influence on the driver's injuries, but that the safety systems used have a very strong influence, for both static and dynamic rollover cases. At the current stage of modelling, doors and shoulder restraints in combination with a lap belt appear to be more effective in protecting the driver than armrests with or without a lap belt or no re-straint system at all.

     

  • References

    1. Karine, C. D. (2016). Methodology for the prevention of musculoskeletal disorders. Doctoral thesis, Claude Bernard University - Lyon 1.
    2. Angel Alberto, T. A. (2013). Knowledge transfer and user needs: design and selection of forklifts. Doctoral thesis, University of Que-bec in Montreal.
    3. Duquette, J., & Benoit, R. (1997). Forklift side rollovers: review of studies on operator protection systems and recommendations for a new approach. IRSST document. ISBN 2-551-18863-6. ISSN 0820-8395.
    4. Tellier, C. (1995a). Summary analysis of serious and fatal accidents from the VREN bank of the CSST from 1974 to 1994. IRSST, un-published working document.
    5. Tellier, C. (1995b). Summary of forklift accidents listed by the CSST from 1991 to 1994. IRSST, unpublished working document.
    6. Dino, G.L. (1983). Operator restraint for the lift truck – a compendium. Clark equipment company, Industrial Truck Division, 21-31.
    7. Alem, N.M. (1985). Effects of seatwings and seatbelts on the response of forklift truck operator during lateral dynamic tipovers. Final technical report. Ann Harbor, the University of Michigan transportation Institute.
    8. IASS (Institute for Advanced Safety Studies, Niles. IL). (1986). Effects of operator restraint on measured head impacts during lateral overturns of forklift trucks. Prepared for Allis-Chalmer, Industrial Truck Division.
    9. Johnson, J. (1988). Operator restraint development: reduction of operator injuries from lift truck tipover and loading dock incidents. Hyster company, engineering test report B-85-33.
    10. Entwisle, H.F., & Moffatt, E.A. (1992). Lift truck overturn safety. ASME 92-WA/SAF-1.
    11. Union of handling equipment industries. (1983a). Logistics. In Encyclopedia of handling. Paris: AFNOR.
    12. Georges, S. (2002). Handling at the heart of logistics. Engineering techniques Lifting devices and industrial trolleys, TIB118DUO(AG7000).
    13. Union of handling equipment industries. (1983b). Physical storage and distribution goods. In Encyclopedia of handling. Paris: AFNOR.
    14. Tompkins, J.A., White, J.A., Bozer, Y.A., & Tanchoco, J.M.A. (2010). Facilities planning (4th ed.). New York: Wiley.
    15. Riopel, D., & Croteau, C. (2013). Illustrated dictionary of business activities: industry, techniques and management (Updated edition). Montreal: Presses internationals Polytechnique.
    16. Riopel, D., Chouinard, M., Marcotte, S., & Ait-Kadi, D. (2011). Engineering and management of reverse logistics: towards sustainable networks. Paris: Lavoisier.
    17. Roux, M. (2011). Warehouses and stores: Everything you need to know to design a storage unit (5th ed.). Paris: Éditions d’Organization.
    18. Tompkins, J.A., & Smith, J.D. (1998). The warehouse management handbook (2nd ed.). Raleigh: Tompkin’s press.
    19. Johnson, J. C., Wood, D. F., Wardlow, D. L., & Murphy, P. R. (1999). Contemporary logistics. Englewood Cliffs: Prentice Hall.
    20. Stock, J. R., & Lambert, D. M. (2001). Strategic logistics management. New York: McGraw-Hill.
    21. Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management. Boston: McGraw-Hill.
    22. Coyle, J. J., Bardi, E. J., & Langley, C. J. (2003). The management of business logistics: a supply chain perspective. Mason: South-Western/Thomson Learning.
    23. Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2003). Designing and managing the supply chain: Concepts, strategies, and case studies. Boston: McGraw-Hill/Irwin.
    24. Ballou, R. H. (2004). Business logistics/supply chain management: Planning, organizing, and controlling the supply chain. London: Pearson Prentice Hall.
    25. Chopra, S., & Meindl, P. (2004). Supply chain management: Strategy, planning, and operation. Upper Saddle River: Prentice Hall.
    26. Apple, J. M., Meller, R. D., & White, J. A. (2010). Empirically-based warehouse design: can academics accept such an approach. Dans Progress in Material Handling Research: 2010 (p. 1-24). Charlotte, NC: Material Handling Institute.
    27. Material handling institute. (2017). Taxonomy of handling equipment. Retrieved from http://www.mhi.org/cicmhe/resources/taxonomy.
    28. Kay, M.G. (2012). Material handling equipment. North Carolina State University: Fitts Dept. of Industrial and Systems Engineering Re-trieved from http://www4.ncsu.edu/~kay/Material_Handling_Equipment.pdf.
    29. Chu, H. K., Egbelu, P. J., & Wu, C.-T. (1995). ADVISOR: A computer-aided material handling equipment selection system. Interna-tional Journal of Production Research, 33(12), 3311-3329. https://doi.org/10.1080/00207549508904876.
    30. Tompkins, J. A., White, J. A., Bozer, Y. A., Frazelle, E. H., Tanchoco, J. M. A., & Trevino, J. (1996). Facilities Planning (2e éd.). New York: Wiley.
    31. Ward, R. E. (1986). An Overview of Basic Material Handling Equipment. Charlotte: Material Handling Institute.
    32. Hadi-Vencheh, A., & Mohamadghasemi, A. (2015). A new hybrid fuzzy multi-criteria decision-making model for solving the material handling equipment selection problem. International Journal of Computer Integrated Manufacturing, 28(5), 534-550. https://doi.org/10.1080/0951192X.2014.880948.
    33. Lashkari, R. S., Boparai, R., & Paulo, J. (2004). Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems. International Journal of Production Economics, 87(2), 115-139. https://doi.org/10.1016/S0925-5273(03)00097-5.
    34. Lashkari, R. S., Boparai, R., & Paulo, J. (2004). Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems. International Journal of Production Economics, 87(2), 115-139. https://doi.org/10.1016/S0925-5273(03)00097-5.
    35. Kouvelis, P., & Lee, H. L. (1990). The material handling system design of integrated manufacturing systems-a graph-theoretic model-ling framework for the initial design phase.Annals of Operations Research, 26(1-4), 379-396. https://doi.org/10.1007/BF03543076.
    36. Yilmaz, O. F., Oztaysi, B., Durmusoglu, M. B., & Oner, S. C. (2017). Determination of material handling equipment for lean in-plant logistics using fuzzy analytical network process considering risk attitudes of the experts. International Journal of Industrial Engineering, 24 (1), 81-122.
    37. Kim, K. S., & Eom, J. K. (1997). An expert system for selection of material handling and storage systems. International Journal of In-dustrial Engineering, 4(2), 81-89.
    38. Varun, S., Harshita, R., Pramod, S., & Nagaraju, D. (2017). Evaluation and selection of material handling equipment in iron and steel industry using analytic hierarchy process. Communication présentée à 2nd International Conference on Frontiers in Automobile and Mechanical Engineering, Chennai, India (vol. 197). https://doi.org/10.1088/1757-899X/197/1/012060.
    39. Bauters, K., Govaert, T., Limère, V., & Landeghem, H. V. (2015). Forklift Free Factory: a simulation model to evaluate different trans-portation systems in the automotive industry. International Journal of Computer Aided Engineering and Technology, 7(2), 238-259. https://doi.org/10.1504/IJCAET.2015.068329.
    40. Trevino, J., Hurley, B. J., Clincy, V., & Jang, S. C. (1991). Storage and industrial truck selection expert system (SITSES). International Journal of Computer Integrated Manufacturing, 4(3), 187-194. https://doi.org/10.1080/09511929108944494.
    41. Poon, T. C., Choy, K. L., Cheng, C. K., Lao, S. I., & Lam, H. Y. (2011). Effective selection and allocation of material handling equip-ment for stochastic production material demand problems using genetic algorithm. Expert Systems with Applications, 38(10), 12497-12505. https://doi.org/10.1016/j.eswa.2011.04.033.
    42. Tuzkaya, G., Gülsün, B., Kahraman, C., & Özgen, D. (2010). An integrated fuzzy multi-criteria decision-making methodology for ma-terial handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853-2863. https://doi.org/10.1016/j.eswa.2009.09.004.
    43. Malmborg, C. J., Krishnakumar, B., Simons, G. R., & Agee, M. H. (1989). EXIT: a PC-based expert system for industrial truck selec-tion. International Journal of Production Research, 27(6), 927-941. https://doi.org/10.1080/00207548908942599.
    44. Castleberry, G.A. (1990). Material handling equipment decision making. Paper presented at Manufacturing International '90, New York, NY (pp. 187-193).
    45. Rossi, D., Bertoloni, E., Fenaroli, M., Marciano, F., & Alberti, M. (2013). A multi-criteria ergonomic and performance methodology for evaluating alternatives in “manuable” material handling. International Journal of Industrial Ergonomics, 43(4), 314-327. https://doi.org/10.1016/j.ergon.2013.04.009.
    46. Chakraborty, S., & Prasad, K. (2016). A QFD-based expert system for industrial truck selection in manufacturing organizations. Jour-nal of Manufacturing Technology Management, 27(6), 800-817. https://doi.org/10.1108/JMTM-02-2016-0020.
    47. Jiamruangjarus, P., & Naenna, T. (2016). An integrated multi-criteria decision-making methodology for conveyor system selection. Cogent Engineering, 3(1), 16. https://doi.org/10.1080/23311916.2016.1158515.
    48. Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., Rifai, A. P., & Aoyama, H. (2016). An integrated MCDM model for conveyor equipment evaluation and selection in an FMC based on a fuzzy AHP and fuzzy ARAS in the presence of vagueness. PloS one, 11(4). https://doi.org/10.1371/journal.pone.0153222.
    49. Shelton, D., & Jones, M. S. (1987). A selection method for automated guided vehicles. Material flow, 4(1-2), 97-107.
    50. Mirhosseyni, S. H. L., & Webb, P. (2009). A hybrid fuzzy knowledge-based expert system and genetic algorithm for efficient selection and assignment of material handling equipment. Expert Systems with Applications, 36(9), 11875-11887. https://doi.org/10.1016/j.eswa.2009.04.014.
    51. Raman, D., Nagalingam, S. V., Gurd, B. W., & Lin, G. C. I. (2009). Quantity of material handling equipment—A queuing theory-based approach. Robotics and Computer-Integrated Manufacturing, 25(2), 348-357. https://doi.org/10.1016/j.rcim.2008.01.004.
    52. Bauer, W., Hämmerle, M., Schlund, S., & Vocke, C. (2015). Transforming to a Hyper-connected Society and Economy–Towards an “Industry 4.0”. Procedia Manufacturing, 3 417-424. https://doi.org/10.1016/j.promfg.2015.07.200.
    53. Cai, X. (2010). Performance evaluation of warehouses with automated storage and retrieval technologies. Ph.D, University of Louis-ville, Louisville, Kentucky.
    54. Heragu, S. S., Cai, X., Krishnamurthy, A., & Malmborg, C. J. (2011). Analytical models for analysis of automated warehouse material handling systems. International Journal of Production Research, 49(22), 6833-6861. https://doi.org/10.1080/00207543.2010.518994.
    55. Dubé, J. (2018). Preventive health and safety practices at work among workers in personnel rental agencies.
    56. Chinniah, Y., Burlet-Vienney, D., Karimi, B., & Aucourt, B. (2019). Review of the practice of padlocking on industrial machines. Re-port R-1073. Robert-Sauvé Research Institute in Occupational Health and Safety (IRSST), Montreal.
    57. Villeneuve-Tremblay, K. (2020). Levers, obstacles and repertoire of union action on workload: the case of Quebec pork slaughter-houses. Doctoral dissertation, Laval University.
    58. Kaine, A., Paquette, J., & Rancourt, M. E. (2023). The operational flow and constraints of Quebec food banks.
    59. Collins, J.W., Landen, D.D., Kisner, S.M., Johnston, J.J., Chin, S.F., & Kennedy, R.D. (1999). Fatal occupational injuries associated with forklift, United States, 1980-1994. American Journal of Industrial Medicine, 36: 504-512. https://doi.org/10.1002/(SICI)1097-0274(199911)36:5<504::AID-AJIM2>3.0.CO;2-P.
    60. O'Mara, N. (1989). A study of forklift truck accidents in South Australia. Occupational Health and Radiation Control Branch. South Australia Health Commission.
    61. Vezeau, S. ; Hastey, P., Gagné, N. ; Giguère, D., & Richard, J. G. 2006. Improving the design of work situations involving forklifts: er-gonomic study and analysis of forklift operator driving strategies. Research project, IRSST, Quebec.
    62. Verschoore, R., Pieters, J.G., & Pollet, LV. (2003). Measurements and simulation on the comfort offorklifts. Journal of Sound and Vi-bration, 226, 585-599. https://doi.org/10.1016/S0022-460X(03)00586-8.
    63. Miyashita, K, Morioka, I., Tanabe, T., Iwata, H., Takeda, S. (1992). Symptoms of construction workers exposed to whole body vibra-tion and local vibration. Int Arch Occup Environ Health; 64 (5), 347-51. https://doi.org/10.1007/BF00379545.
    64. Ellson, J. M. (2002). Technology is changing. Pulp & Paper Canada.
    65. C.É., Gou, M., & Benoît, R. (1998). Feasibility study on the development of a computer model to simulate side rollovers of forklifts with a view to improving forklift operator safety. IRSST internal report.
    66. Koutchouk, M. (1997) Kinematic modeling of the lateral overturning of a trolley elevator: Feasibility study. Master of Engineering Re-port. Department of mechanical engineering at École Polytechnique de Montréal.
    67. Koutchouk, M., Aubin, C.É., Gou, M., Benoît, R. (1998). Feasibility study on the development of a computer model for simulating lat-eral rollovers of forklifts to improve the safety of forklift operators. IRSST internal report.
    68. Riendeau, S. (1999). Sensitivity study of the parameters involved in the lateral lateral rollover of a forklift truck. End-of-study project at École Polytechnique de Montréal - mechanical engineering.
    69. Côté, F. (1999). Biomechanical modelling of the seat-operator interface during the lateral lateral rollover of a forklift truck. End-of-study project at École Polytechnique de Montréal - mechanical engineering.
    70. Triodyne consulting engineers and scientists (1994). Seat belt for forklift trucks. Triodyne Inc, bibliography series 924, parts I, II and III.
    71. SAE (1995). Heavy truck crashworthiness. SAE Cooperative Research Report CRP-9.
    72. Entwhistle, F. et al. (1983) Operator Restraint for the lift truck. A compendium done for the Clark Equipment Company, Industrial Truck Division.
    73. IASS (Institute for Advanced Safety Studies, Niles. IL). (1986). Dynamic forklift truck tip-overs: a preliminary safety analysis and testing program of operator restraint systems. Prepared for Allis-Chalmer, Industrial Truck Division.
    74. King, A.I. (1981). Operator restraint test program. Final report to the Industrial Truck Association. Southfield, MI, Albert I. King, Inc.
    75. Guy L. (1998). Design of a test bench to simulate forklift rollover. Final year project at École Polytechnique de Montréal - mechanical engineering.

  • Downloads

  • How to Cite

    Djami Aslain Brisco , N., Nguelcheu Ulrich , N., & Yamigno Serge, D. (2024). Study and modelling of the handling of equipment: case of a self-propelled handling truck. International Journal of Engineering & Technology, 13(1), 13-29. https://doi.org/10.14419/r5f8y375