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A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers

Author

Listed:
  • Patrik Grznár

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Milan Gregor

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Štefan Mozol

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Martin Krajčovič

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Ľuboslav Dulina

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Martin Gašo

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Michal Major

    (Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

Abstract

Continuous cost reduction is a subject of interest for almost every production company. The cost reflects the competitiveness and sustainability of the business. Many company costs are linked to the effectiveness of production. One such cost is the work-in-progress (WIP) inventory cost. The present article deals with the design of a system for calculating the optimal WIP inventory stored in a manufacturing buffer, which, in the long term, provides the lowest costs. The main goal of the article is to design a new system that allows for the calculation of the optimal capacity of interoperation manufacturing buffers and thus the calculation of the optimal WIP inventory, which influences the lead time and cost. The newly designed system consists of algorithms that describe various steps, many of which use mathematical models. The individual blocks of algorithms are described, and the proposed system is verified and validated by simulation of the production line in the automotive production company.

Suggested Citation

  • Patrik Grznár & Milan Gregor & Štefan Mozol & Martin Krajčovič & Ľuboslav Dulina & Martin Gašo & Michal Major, 2019. "A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers," Sustainability, MDPI, vol. 11(14), pages 1-36, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3949-:d:250068
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    References listed on IDEAS

    as
    1. Shi, Chuan & Gershwin, Stanley B., 2009. "An efficient buffer design algorithm for production line profit maximization," International Journal of Production Economics, Elsevier, vol. 122(2), pages 725-740, December.
    2. Peter Bubeník & Filip Horák, 2014. "Proactive Approach to Manufacturing Planning," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 18(1).
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    Cited by:

    1. Branislav Micieta & Vladimira Binasova & Radovan Lieskovsky & Martin Krajcovic & Luboslav Dulina, 2019. "Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0," Sustainability, MDPI, vol. 11(21), pages 1-20, October.

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