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Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level

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  • Robert Bucki
  • Petr Suchánek

Abstract

The article focuses on one of the current problems of manufacturing systems which consist of individual machines equipped with dedicated tools that are replaced when they are worn out. It is assumed that the machines are located within the reach of the robotic arm which carries out transport operations of semifinished products to designated production machines and storage containers in accordance with the production time period. The aim is to find such an arrangement of production activities, respectively, production paths for a given set of orders that will be effective from the time and cost point of view. Moreover, the whole issue is solved with regard to possible failures of individual stands, overfilling of some tanks, etc. The theory and practice of creating and using simulators as tools for the definition and verification of production plans are used to solve this issue. The starting point is the creation of a mathematical simulation model with the necessary but acceptable degree of simplification. The mathematical simulation model is tested on sample data in a feasibility study to perform a detailed usability analysis of the model. The output of the article is a simulation model for which, based on the analysis of simulation results, patterns of possible use in specific types of enterprises are given.

Suggested Citation

  • Robert Bucki & Petr Suchánek, 2019. "Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level," Complexity, Hindawi, vol. 2019, pages 1-36, May.
    • Handle: RePEc:hin:complx:7237585
    DOI: 10.1155/2019/7237585
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    References listed on IDEAS

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    1. Alfred Theorin & Kristofer Bengtsson & Julien Provost & Michael Lieder & Charlotta Johnsson & Thomas Lundholm & Bengt Lennartson, 2017. "An event-driven manufacturing information system architecture for Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1297-1311, March.
    2. Aqlan, Faisal & Al-Fandi, Lawrence, 2018. "Prioritizing process improvement initiatives in manufacturing environments," International Journal of Production Economics, Elsevier, vol. 196(C), pages 261-268.
    3. Khalid Mohammed Saffer Alzaidi & Oguz Bayat & Osman N. Uçan, 2018. "A Heuristic Approach for Optimal Planning and Operation of Distribution Systems," Journal of Optimization, Hindawi, vol. 2018, pages 1-19, June.
    4. Marodin, Giuliano & Frank, Alejandro Germán & Tortorella, Guilherme Luz & Netland, Torbjørn, 2018. "Lean product development and lean manufacturing: Testing moderation effects," International Journal of Production Economics, Elsevier, vol. 203(C), pages 301-310.
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