Abstract
The article describes the implementation of the methodology of simulation modeling of the milk-run system in a theoretical company. The article describes the hybrid approach in creating simulation models. It presents the basic steps of methodology, tools supporting the process of building a simulation model and analyzing internal logistics system. The goal of the study is to verify the methodology and outline the direction of its development. The final part of the article presents the directions in developing simulation tools for advanced ergonomic analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Brar, G.S., Saini, G.: Milk run logistics: literature review and directions. In: Proceedings of the World Congress on Engineering 2011, WCE 2011, London, U.K., 6–8 July 2011, vol. I (2011). ISSN 2078-0966 (Online)
Chee, S.L., Chong, M.Y., Chin, J.F.: Milk-run kanban system for raw printed circuit board withdrawal to surface-mounted equipment. J. Ind. Eng. Manag. 5(2), 382–405 (2013)
Čujan, Z.: Simulation of production lines supply within internal logistics systems. Open Eng. 6(1), 470–475 (2016)
Greenwood, A.G., Kluska, K., Pawlewski, P.: A multi-level framework for simulating milk-run, in-plant logistics operations. In: Bajo, J., et al. (eds.) PAAMS 2017. CCIS, vol. 722, pp. 209–220. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60285-1_18
Hoffa-Dabrowska, P., Kluska, K.: Agents in logistics and supply chain. In: Bajo, J., et al. (eds.) PAAMS 2018. CCIS, vol. 887, pp. 161–171. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94779-2_15
Huang, M., Yang, J., Ma, T., Li, X., Wang, T.: The modeling of milk-run vehicle routing problem based on improved C-W algorithm that joined time window. Transp. Res. Procedia 25, 716–728 (2017)
Kilic, H.S., Durmusoglu, M.B., Baskak, M.: Classification and modeling for in-plant milk-run distribution systems. Int. J. Adv. Manuf. Technol. 62(9–12), 1135–1146 (2012)
Kitamura, T., Okamoto, K.: Automated route planning for milk-run transport logistics using model checking. In: 2012 Third International Conference on Networking and Computing, pp. 240–246 (2012). https://doi.org/10.1109/icnc.2012.44
Kluska, K.: Determination of the optimal number of trailers for milk-run intralogistics system. In: Pawlewski, P., Hoffa-Dabrowska, P., Golinska-Dawson, P., Werner-Lewandowska, K. (eds.) FlexSim in Academe: Teaching and Research. ECOPROD, pp. 101–113. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04519-7_8
Korytkowski, P., Karkoszka, R.: Simulation-based efficiency analysis of an in-plant milk-run operator under disturbances. Int. J. Adv. Manuf. Technol. 82(5–8), 827–837 (2016)
Macal, C.M., North, M.J.: Introductory tutorial: agent-based modeling and simulation. In: Winter Simulation Conference, pp. 362–376 (2013)
Pawlewski, P.: Using PFEP for simulation modeling of production systems. In: 28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2018), Columbus, OH, USA, 11–14 June 2018 (2018). Procedia Manuf. 17, 811–818 (2018)
Pawlewski, P., Anholcer, M.: Using CSP solvers as alternative to simulation optimization engines. In: Pawlewski, P., Hoffa-Dabrowska, P., Golinska-Dawson, P., Werner-Lewandowska, K. (eds.) FlexSim in Academe: Teaching and Research. ECOPROD, pp. 131–143. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04519-7_10
Pawlewski, P.: Interactive layout in the redesign of intralogistics systems. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds.) ISPEM 2018. AISC, vol. 835, pp. 462–473. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-97490-3_45
Pawlewski, P.: Script language to describe agent’s behaviors. In: Bajo, J., et al. (eds.) PAAMS 2018. CCIS, vol. 887, pp. 137–148. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94779-2_13
Staab, T., Klenk, E., Günthner, W.A.: Simulating dynamic dependencies and blockages in in-plant milk-run traffic systems. In: Proceedings 27th European Conference on Modelling and Simulation, pp. 622–628 (2013). https://doi.org/10.7148/2013-0622
Stanek, S., Pańkowska, M.B., Żytniewski, M.K.: Realizacja agentów oprogramowania z wykorzystaniem środowiska JAVA. In: Porębska-Miąc, T., Sroka, H. (eds.) Systemy Wspomagania Organizacji SWO 2005. Akademia Ekonomiczna, Katowice (2005)
Wang, X., He, M., Jiang, H.: A discrete firefly algorithm for routing optimization of milk-run. In: 5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015), pp. 1538–1543 (2015)
Vieira, A., Dias, L.S., Pereira, G.B., Oliveira, J.A., Carvalho, M.S., Martins, P.: 3D micro simulation of milkruns and pickers in warehouses using SIMIO. In: Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014, pp. 261–269 (2014)
Acknowledgements
The work was carried out as part of the 11/140/DSMK/4160 project, “Methodology for design and simulation modeling of milk-run internal logistics systems”, financed by Faculty of Engineering Management, Poznan University of Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kluska, K., Hoffa-Dabrowska, P., Zwolankiewicz, A. (2019). Simulation Modeling of Milk-Run Internal Logistics System – Case Study. In: De La Prieta, F., et al. Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. PAAMS 2019. Communications in Computer and Information Science, vol 1047. Springer, Cham. https://doi.org/10.1007/978-3-030-24299-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-24299-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24298-5
Online ISBN: 978-3-030-24299-2
eBook Packages: Computer ScienceComputer Science (R0)