Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Simulation Analysis for Improving the Logistics Flow in an Chemical Storage System

석유화학 창고 시스템 내 물류 흐름 개선을 위한 시뮬레이션 분석

  • Lee, Gi-Hwan (Department of Industrial Engineering, Seoul National University of Science and Technology) ;
  • Jo, Jae-Young (Department of Industrial Engineering, Seoul National University of Science and Technology) ;
  • Chae, Gyu-Tae (Department of Industrial Engineering, Seoul National University of Science and Technology) ;
  • Jang, Seong-Yong (Department of Industrial Engineering, Seoul National University of Science and Technology)
  • 이지환 (서울과학기술대학교 산업공학과) ;
  • 조재영 (서울과학기술대학교 산업공학과) ;
  • 채규태 (서울과학기술대학교 산업공학과) ;
  • 장성용 (서울과학기술대학교 산업공학과)
  • Received : 2020.08.10
  • Accepted : 2020.09.24
  • Published : 2020.09.30
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Abstract

In this study, to improve the logistics flow of existing given chemical logistics warehouse, four logistics flow alternatives were proposed to minimize truck interference by building simulation model. The simulation model for chemical storage warehouse was built to evaluate system performance. Among the four new improved alternatives based on the basic model, the model with the same truck's pathways and locations of facilities identified an increase in the number of interferences but a decrease in daily working hours as the number of resources in a particular facility increases. Therefore, the three groups were classified as 'efficiency', 'complementary', and 'safety' based on the daily working hours, and the ratio of trucks entering two types of logistics warehouse was set in consideration of future market fluctuations. For each of the six types, the optimal number of resources was selected as the number of resources in the facilities with the least number of interferences in the basic model and the evaluation measures and characteristics set in this study were compared and analyzed. As a result, the Alternative 4 model operating the underground roadway produced interference between 17.0% and 36.4% of the basic model, with 113.3% of the interior loadspace.

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References

  1. Altiok, T. and Melamed, B., Simulation Modeling and Analysis with Arena, Elsevier, 2011, p. 2.
  2. Astarita, V., Festa, D.C., Giofre, V.P., and Guido, G., Surrogate safety measures from traffic simulation models a comparison of different models for intersection safety evaluation, Transportation Research Procedia, 2019, Vol. 37, pp. 219-226. https://doi.org/10.1016/j.trpro.2018.12.186
  3. Baek, J.-K. and Ko, H.-H., A simulation for warehouse considering traffic, Journal of the Korea Society for Simulation, 2013, Vol. 22, No. 4, pp. 119-128. https://doi.org/10.9709/JKSS.2013.22.4.119
  4. Baek, J.-K. and Shin, H.-J., A simulation for warehouse traffic using ARENA, The Korean Society of Management Consulting, 2009, Vol. 9, No. 3, pp. 95-108.
  5. Baek, J.-K., A study on the number of transport vehicles inside the warehouse using ARENA, Journal of Information Technology and Architecture, 2015, Vol. 12, No. 4, pp. 619-627.
  6. Bernechea, E.J. and Viger, J.A., Design optimization of hazardous substance storage facilities to minimize project risk, Safety Science, 2013, Vol. 51, No. 1, pp. 49-62. https://doi.org/10.1016/j.ssci.2012.06.007
  7. Darbra, R.M., Palacios, A., and Casal, J., Domino effect in chemical accidents: Main features and accident sequences, Journal of Hazardous Materials, 2010, Vol. 183, No. 1-3, pp. 565-573. https://doi.org/10.1016/j.jhazmat.2010.07.061
  8. de Koster, R.B.M., Stam, D., and Balk, B.M., Accidents happen : the influence of safety-specific transformational leadership, safety consciousness, and hazard reducing systems on warehouse accidents, Journal of Operations Management, 2011, Vol. 29, No. 7-8, pp. 753-765. https://doi.org/10.1016/j.jom.2011.06.005
  9. de Lira-Flores, J.A., Gutierrez-Antonio, C., and Vazquez-Roman, R., A MILP approach for optimal storage vessels layout based on the quantitative risk analysis methodology, Process Safety and Environmental Protection, 2018, Vol. 120, pp. 1-13. https://doi.org/10.1016/j.psep.2018.08.028
  10. Gu, S.-H., Noh, S.-M., and Jang, S.-Y., A study on improvement of the logistic system in social commerce using simulation, The Korea Society For Simulation, 2013, Vol. 22, No. 3, pp. 25-33. https://doi.org/10.9709/JKSS.2013.22.3.025
  11. Halawa, F., Dauod, H., Lee, I.-G., Li, Y., and Yoon, S.-W., Introduction of a real time location system to enhance the warehouse safety and operational efficiency, International Journal of Production Economics, 2020, Vol. 224, pp. 107541. https://doi.org/10.1016/j.ijpe.2019.107541
  12. Harwood, D.W., Glauz, W.D., and Mason, J.M.J., Stopping sight distance design for large trucks, Transportation Research Record, 1989, No. 1208, pp. 36-46.
  13. Jung, S., Ng, D., Diza-Ovalle, C., Vazquez-Roman, R., and Mannan, M.S., New approach to optimizing the facility siting and layout for fire and explosion scenarios, Industrial and Engineering Chemistry Research, 2011, Vol. 50, No. 7, pp. 3928-3937. https://doi.org/10.1021/ie101367g
  14. Laruea, G.S., Miskab, M., Qianb, G., Wullemsa, C., Rodwella, D., Chungc, E., and Rakotonirainy, A., Can road user delays at urban railway level crossings be reduced? Evaluation of potential treatments through traffic simulation, Case Studies on Transport Policy, Available online May, 2020.
  15. Pietersen, C.M., Analysis of the LPG-disaster in mexico city, Journal of Hazardous Materials, 1988, Vol. 20, pp. 85-107. https://doi.org/10.1016/0304-3894(88)87008-0
  16. Rossetti, M.D., Simulation Modeling and ARENA, John Wiley and Sons, 2016, p. 1.
  17. Suraraksa, J., Gong, I.-T., Kim, J.-W., Seo, H.-S., and Shin, K.-S., Development of the military-3PL integrated operation strategy for national defense transportation using simulation, The Journal of Society for e-Business Studies, 2019, Vol. 24, No. 3, pp. 111-128.
  18. Vrysagotis, V. and Kontis, P.A., Warehouse layout problems : types of problems and solution algorithms, Journal of Computations and Modelling, 2011, Vol. 1, No. 1, pp. 131-152,
  19. Xu, G. and Papageorgiou, L.G., A Construction-based approach to process plant layout using mixed-integer optimization, Industrial and Engineering Chemistry Research, 2007, Vol. 46, No. 1, pp. 351-358. https://doi.org/10.1021/ie060843k
  20. Yener, F. and Yazgan, H.R., Optimal warehouse design : Literature review and case study application, Computers and Industrial Engineering, 2019, Vol. 129, pp. 1-13. https://doi.org/10.1016/j.cie.2019.01.006