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A Hybrid Modeling Approach for Simulating Milk-Run In-plant Logistics Operations

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  • First Online:
Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems (PAAMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

Abstract

This paper describes a hybrid modeling approach, using discrete-event and agent-based simulations, for analyzing the operation of milk-run logistics systems. The approach considers the physical actions of the vehicles and the operator as well as strategic-level systems planning and design. The approach leverages constructs currently available in simulation software and is implemented in FlexSim. In addition to the approach, an example is provided that illustrates the implementation of the first phase of the approach.

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References

  1. 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 Workshops. CCIS, vol. 722, pp. 209–220. Springer, Cham (2017)

    Chapter  Google Scholar 

  2. Greenwood, A.G.: An approach to represent material handlers as agents in discrete-event simulation models. In: Bajo, J., et al. (eds.) PAAMS 2016. CCIS, vol. 616, pp. 98–109. Springer, Cham (2016). doi:10.1007/978-3-319-39387-2_9

    Google Scholar 

  3. Klenk, E., Galka, S.: Analysis of parameters influencing in-plant milkrun design for production supply. In: 12th International Material Handling Research Colloquium, Technische Universität München (2012)

    Google Scholar 

  4. Macal, C.M., North, M.J.: Introductory tutorial: Agent-based modeling and simulation. In: Winter Simulation Conference, pp. 6–20 (2014)

    Google Scholar 

  5. Monostori, L., Váncza, J., Kumara, S.: Agent-based systems for manufacturing. Ann. CIRP 55, 697–720 (2006)

    Article  Google Scholar 

  6. Pawlewski, P.: DES/ABS approach to simulate warehouse operations. In: Bajo, J., Hallenborg, K., Pawlewski, P., Botti, V., Sánchez-Pi, N., Duque Méndez, N.D., Lopes, F., Julian, V. (eds.) PAAMS 2015. CCIS, vol. 524, pp. 115–125. Springer, Cham (2015). doi:10.1007/978-3-319-19033-4_10

    Chapter  Google Scholar 

  7. Pawlewski, P., Jasiulewicz-Kaczmarek, M., Bartkowiak, T., Hoffa-Dąbrowska, P.: Validation of simulation model of the filling line failures. J. KONBiN 2(38), 179–200 (2016)

    Google Scholar 

  8. Shen, W., Hao, Q., Yoon, H.J., Norrie, D.H.: Applications of agent-based systems in intelligent manufacturing: an updated review. Adv. Eng. Inform. 20, 415–431 (2006)

    Article  Google Scholar 

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Acknowledgements

Support for this research has been provided by the Faculty of Engineering Management DS 503217/11/140/DSPB/4150 2016 Poznan University of Technology and Atres Intralogistics Sp.z.o.o.

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Authors and Affiliations

  1. Poznan University of Technology, ul.Strzelecka 11, 60-965, Poznań, Poland

    Allen G. Greenwood, Kamila Kluska & Pawel Pawlewski

Authors
  1. Allen G. Greenwood
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  2. Kamila Kluska
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  3. Pawel Pawlewski
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Corresponding author

Correspondence to Allen G. Greenwood .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

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Greenwood, A.G., Kluska, K., Pawlewski, P. (2017). A Hybrid Modeling Approach for Simulating Milk-Run In-plant Logistics Operations. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-60285-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

  • Online ISBN: 978-3-319-60285-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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