Abstract
The article describes the methodology of simulation modeling of milk-run systems supplemented with an ergonomic analysis. In the literature analysis, the authors define what is the milk-run system, describes the benefits of implementation milk-run as an internal transport system, and explain the use of DES and ABS approaches to modeling. The article describes the tools used in the hybrid simulation modeling of the milk-run system and various stages of its application. The authors describe the ergonomic analysis of logistics employees work as the direction for further development of methodology. The last part of the article describes the necessity of developing tools for advanced ergonomic analyses and exemplary methods, which could be implemented. One selected method, that allowed to determine the maximum weight of the goods transported by the operator is also described.
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
References
Bartnicka, J.: Projektowanie systemów antropotechnicznych. Metody analizy i oceny układów antropotechnicznych (2015). http://dydaktyka.polsl.pl/ROZ5/jbartnicka/Dokumenty/Dydaktyka/Projektowanie%20system%C3%B3w%20antropotechnicznych/Wyk%C5%82ady/PSA_metody.pdf
Bukała, W.: Ergonomiczne warunki pracy, p. 108. Wydawnictwa Szkolne i Pedagogiczne, Warszawa (2015)
BusinessDisctionary.com2017. WebFinance, Inc., 31 January 2017. www.businessdictionary.com/definitions/milk-run.html
Brar, G.S., Saini G.: Milk run logistics: literature review and directions. In: Proceedings of the World Congress on Engineering, WCE 2011, vol. I, pp. 797–801 (2011)
Górska, E., Tytyk, E.: Ergonomia w projektowaniu stanowisk pracy. Podstawy teoretyczne, pp. 15–16. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (1998)
Grosse, E.H., Calzavara, M., Glock, C.H., Sgarbossa, F.: Incorporating human factors into decision support models for production and logistics: current state of research. IFAC-PapersOnLine, 50(1), 6900–6905 (2017)
Karagul, H., Albayrakoglu, M. M.: Selecting a third-party logistics provider for an automotive company: an analytic hierarchy process model (2007)
Klenk, E., Galka, S.: Analysis of parameters influencing in-plant milk-run design for production supply. In: 12th International Material Handling Research Colloquium, Technische Universität München (2012)
Macal, C.M., North, M.J., Introductory tutorial: agent-based modeling and simulation. In: Winter Simulation Conference, pp. 6–20 (2014)
North, M.J., Macal, C.M.: Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press, New York (2007)
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.: 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)
Polak-Sopinska, A., Wrobel-Lachowska, M., Wisniewski, Z., Jalmuzna, I.: Physical work intensity of in-plant milk run operator. Part I - guidelines for assessment. In: Karwowski, W., Trzcielinski, S., Mrugalska, B., Di Nicolantonio, M., Rossi, E. (eds.) AHFE 2018. AISC, vol. 793, pp. 66–76. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94196-7_7
Polak-Sopinska, A.: Physical work intensity of in-plant milk run operator. Part II – case study. In: Karwowski, W., Trzcielinski, S., Mrugalska, B., Di Nicolantonio, M., Rossi, E. (eds.) AHFE 2018. AISC, vol. 793, pp. 77–89. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94196-7_8
Siebers, P.O., Macal, C.M., Garnett, J., Buxton, D., Pidd, M.: Discrete-event simulation is dead, long live agent-based simulation! J. Simul. 4(3), 204–210 (2010)
Nemoto, T., Hayashi, K., Hashimoto, M.: Milk-run logistics by Japanese automobile manufacturers in Thailand. Procedia Soc. Behav. Sci. 2(3), 5980–5989 (2010)
Tytyk, E.: Bezpieczeństwo i higiena pracy, ergonomia i ochrona własności intelektualnej, p. 64. Wydawnictwo Politechniki Poznańskiej, Poznań (2017)
Tytyk, E.: Ergonomia w technice, p. 28. Wydawnictwo Politechniki Poznańskiej, Poznań (2011)
Zhenlai, Y., Yang, J.: Development and application of milk-run distribution systems in the express industry based on saving algorithm. Math. Probl. Eng. 2014(536459), 1–6 (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., Zwolankiewicz, A. (2019). Hybrid Approach for Simulation Modeling of the Milk-Run Systems with Ergonomic Analysis. 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_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-24299-2_3
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)