OPTIMIZATION OF LOGISTICS PROCESS IN CONTEXT OF SMART LOGISTICS BY USING COMPUTER SIMULATION – CASE STUDY

Authors

  • Patrik Grznár University of Žilina, Slovakia
  • Milan Gregor University of Žilina, Slovakia
  • Štefan Mozol University of Žilina, Slovakia
  • Marek Schickerle University of Žilina, Slovakia
  • Vladimír Vavrík University of Žilina, Slovakia
  • Lucia Mozolová University of Žilina, Slovakia

DOI:

https://doi.org/10.12955/peb.v1.23

Keywords:

Smart Logistics, shipment processing, computer simulation, number of workers, timetables

Abstract

In the conditions of shipment processing it is important to observe the timetable of dispatch in which the entire processing process is going on. Each element of the processing system is important and it is linked with others by time. This means that the delay of one element causes an avalanche effect. The use of computer simulation helps in optimizing processing processes as a whole. This helps to detect regularities and bottlenecks that have been previously overlooked. The concept of Smart Logistics as part of the Smart Factory using simulation as a tool to estimate the future behaviour of the system. The article describes its own system for determining the number of staff to perform the required activities within the processing process. On the basis of the actual number of shipments, the arrival times and the processing system data, a solution can be described using a simulation tool to determine the number of workers. The simulation helps us to design the number of workers so that they observe the times of truck departures from the processing depot. This guarantees compliance with the timetable at minimum labour costs.

Author Biographies

Patrik Grznár, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

Milan Gregor, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

Štefan Mozol, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

Marek Schickerle, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

Vladimír Vavrík, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

Lucia Mozolová, University of Žilina, Slovakia

University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Žilina, Slovakia

References

Bučková, M., Krajčovič, M., Edl., M. (2017). Computer simulation and optimization of transport distances of order picking processes. In: Procedia Engineering. 192, 69-74. ISSN 1877-7058.

Clausen, U., Diekmann, D., Baudach, J., Kaffka, J., Poting, M. (2015). Improving parcel transshipment operations – impact of different objective functions in a combined simulation and optimization. Proceedings - Winter Simulation Conference : Simulation Conference, 2015, 1924-1935. DOI: 10.1109/WSC.2015.7408309

Čujan, Z. (2016) Simulation of production lines supply within internal logistics systems. Open Eng, 6, 470–475.

Furmann, R., Furmannova, B., Wiecek, D. (2017). Interactive design of reconfigurable logistics systems. By: Conference: 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport Location: High Tatras, Slovakia Date: may 31-jun 02, 2017. Sponsor(s): Univ Zilina. 12th International scientific conference of young scientists on sustainable, modern and safe transport Book Series: Procedia Engineering, 192, 207-212. DOI: 10.1016/j.proeng.2017.06.036

Fusko, M., Bučková, M., Gašo, M., Krajčovič, M., Dulina, Ľ., Skokan. R. (2019). Concept of Long-Term Sustainable Intralogistics in Plastic Recycling Factory. Sustainability 2019, 11, 6750.DOI: 10.3390/su11236750

Gašová, M., Gašo, M., Štefánik, A. (2017). Advanced industrial tools of ergonomics based on Industry 4.0 concept. In: Procedia Engineering. 192, 219-224. ISSN 1877-7058.

Gregor, T., Krajčovič, M., Wiecek, D. (2017). Smart Connected Logistics. In: Procedia Engineering. 192, 265-270. ISSN 1877-7058.

Kolarovszki, P., Vaculik, J., (2014). Intelligent storage system based on automatic identification. Transport and telecommunication journal, 15(3), 185-195. https://doi.org/10.2478/ttj-2014-0016

Krajčovič, M., & Plinta, D. (2012). Comprehensive approach to the inventory control system improvement.

In: Management and production engineering review. - ISSN 2082-1344. 3(3), 34-44. DOI: 10.2478/v10270-012-0022-0

Masel, D., & Goldsmith, D. (1997). Using a simulation model to evaluate the configuration of a sortation facility. Proceedings - Winter Simulation Conference : Simulation Conference, 1997, 1210-1213. DOI: 10.1109/WSC.1997.641013

Mičieta, B., Edl, M., Krajčovič, M., Dulina, Ľ., Bubeník, P., Ďurica, L., Biňasová. V. (2018). Delegate MASs for coordination and control of one-directional AGV systems: a proof-of-concept In: The International Journal of Advanced Manufacturing Technology [print, electronic]. - ISSN 0268-3768. - 94(1-4), 415-431. DOI: 10.1007/s00170-017-0915-8

Mleczko, J., & Dulina, L. (2014). Manufacturing Documentation for the High-Variety Products. In: Management and Production Engineering Review. Warszawa. 5(3), 53-61. ISSN 2080-8208, eISSN 2082-1344. DOI: 10.2478/mper-2014-0027

Pekarcikova, M., Trebuna, P., Markovic, J. (2014). Case study of modelling the logistics chain in production. By: Conference: 6th Conference on Modelling of Mechanical and Mechatronic Systems (MMaMS) Location: Vysoke Tatry, Slovakia Date: NOV 25-27, 2014. Modelling of mechanical and mechatronic systems Book Series: Procedia Engineering, 96, 355-361. DOI: 10.1016/j.proeng.2014.12.125

Ristvej, J. et al. (2013). Modelling, simulation and information systems as a tool to support decision-making process in crisis management, In: Modelling and Simulation 2013 - European Simulation and Modelling Conference, ESM 2013, EUROSIS, (2013). 71-76.

Trebuňa, P., Pekarcikova, M., Kliment, M. (2020). Testing the Replenishment Model Strategy Using Software Tecnomatix Plant Simulation. In book: 4th EAI International Conference on Management of Manufacturing Systems, DOI: 10.1007/978-3-030-34272-2_10

Woolliscroft, P., Relich, M., Caganova, D., Cambal, M., Sujanova, J., Makraiova, J. (2013).The Implications of Tacit Knowledge Utilisation Within Project Management Risk Assessment. By: Conference: 10th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning (ICICKM) Location: George Washington Univ, Washington, DC Date: OCT 24-25, 2013. Proceedings of the 10th International conference on intellectual capital, knowledge management and organisational learning (ICICKM-2013) Book Series: Proceedings of the International Conference on Intellectual Capital Knowledge Management & Organizational Learning, 645-652

Yadavalli, V., & Balcou, C. (2017). A supply chain management model to optimise the sorting capability of a ‘third party logistics’ distribution centre. Industrial and Systems Engineering, 77-84.

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Published

2020-11-16

How to Cite

Grznár, P. ., Gregor, M. ., Mozol, Štefan ., Schickerle, M. ., Vavrík, V. ., & Mozolová, L. . (2020). OPTIMIZATION OF LOGISTICS PROCESS IN CONTEXT OF SMART LOGISTICS BY USING COMPUTER SIMULATION – CASE STUDY. Proceedings of CBU in Economics and Business, 1, 84-90. https://doi.org/10.12955/peb.v1.23

Issue

Vol. 1 (2020): Proceedings of CBU in Economics and Business

Section

Articles

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