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A Strategy for Managing the Operation of Technical Infrastructure Based on the Analysis of “Bad Actors”—A Case Study of LOTOS Group S.A

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  • Tomasz Dziabas

    (Implementation Doctoral School, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, 11/12 G. Narutowicza St., 80-233 Gdańsk, Poland
    LOTOS Asfalt Ltd., Reliability and Turnaround Department, 135 Elbąska St., 80-718 Gdańsk, Poland)

  • Mariusz Deja

    (Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, 11/12 G. Narutowicza St., 80-233 Gdańsk, Poland)

  • Aleksandra Wiśniewska

    (Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, 11/12 G. Narutowicza St., 80-233 Gdańsk, Poland)

Abstract

The article covers issues related to the selection of a management strategy for the operation of technical infrastructure. It contains the approaches, methodology and a general model of the system of operation of the Maintenance Services of the LOTOS Group production company, which is an example of a large oil concern. Nowadays, an increasing aspect is put on the efficiency of individual repair processes, as well as the operation of equipment. Doubts often arise as to which strategy is the right one and which one to choose. With numerous machines, there are problems related to work planning and optimal use of resources. In addition, there are frequently difficulties in identifying the devices that interfere with the processes. The aim of this article is to present the maintenance strategy of the LOTOS production company and to introduce a procedure that allows for the assessment of the efficiency of machinery and equipment operation. It includes a method extending the identification of “Bad Actors” used so far, based on data from the ERP (Enterprise Resource Planning) system, with a solution based on reports made after device repairs. MTBR (Mean Time Between Repair) coefficients were calculated for particular Complexes, Plants and Machines, which allowed for the identification of troublesome areas and the most difficult devices in production processes. This made it possible to select the equipment that should be repaired in the first place. After the implementation of the method and service activities, a decrease in the number of problematic machines was observed.

Suggested Citation

  • Tomasz Dziabas & Mariusz Deja & Aleksandra Wiśniewska, 2022. "A Strategy for Managing the Operation of Technical Infrastructure Based on the Analysis of “Bad Actors”—A Case Study of LOTOS Group S.A," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4477-:d:790202
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    References listed on IDEAS

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    3. Amiri, S. & Honarvar, M. & sadegheih, A., 2018. "Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance," Energy, Elsevier, vol. 163(C), pages 1093-1114.
    4. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
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