IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4477-d790202.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4477/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4477/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Juseong & Mitici, Mihaela, 2020. "An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. José María López-Sanz & Azucena Penelas-Leguía & Pablo Gutiérrez-Rodríguez & Pedro Cuesta-Valiño, 2021. "Sustainable Development and Consumer Behavior in Rural Tourism—The Importance of Image and Loyalty for Host Communities," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    2. Cristina Blasi Casagran & Colleen Boland & Elena Sánchez-Montijano & Eva Vilà Sanchez, 2021. "The Role of Emerging Predictive IT Tools in Effective Migration Governance," Politics and Governance, Cogitatio Press, vol. 9(4), pages 133-145.
    3. Maria Maddalena Sirufo & Francesca De Pietro & Alessandra Catalogna & Lia Ginaldi & Massimo De Martinis, 2021. "The Microbiota-Bone-Allergy Interplay," IJERPH, MDPI, vol. 19(1), pages 1-14, December.
    4. Oleh Pasko & Mykola Hordiyenko & Fuli Chen & Yarmila Tkal & Yulia Abraham, 2021. "Mapping Global Research on International Financial Reporting Standards: A Scientometric Review," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 116-134, May.
    5. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    6. Vitor Hugo Ferreira & André da Costa Pinho & Dickson Silva de Souza & Bárbara Siqueira Rodrigues, 2021. "A New Clustering Approach for Automatic Oscillographic Records Segmentation," Energies, MDPI, vol. 14(20), pages 1-18, October.
    7. Maurizio Massaro & Francesca Dal Mas & Charbel Jose Chiappetta Jabbour & Carlo Bagnoli, 2020. "Crypto‐economy and new sustainable business models: Reflections and projections using a case study analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2150-2160, September.
    8. Ines A. Ferreira & Rachel M. Gisselquist & Finn Tarp, 2021. "On the impact of inequality on growth, human development, and governance," WIDER Working Paper Series wp-2021-34, World Institute for Development Economic Research (UNU-WIDER).
    9. He Tingting, 2021. "Comparing Money and Time Donation: What Do Experiments Tell Us?," Marketing of Scientific and Research Organizations, Sciendo, vol. 41(3), pages 65-94, September.
    10. Beatriz Calzada Olvera & Mario Gonzalez-Sauri & Federico Louvin & David-Alexander Harings Moya, 2021. "COVID-19 in Central America: effects of firm resilience and policy responses on employment," WIDER Working Paper Series wp-2021-166, World Institute for Development Economic Research (UNU-WIDER).
    11. Alberto Cerezo-Narváez & Andrés Pastor-Fernández & Manuel Otero-Mateo & Pablo Ballesteros-Pérez, 2022. "The Influence of Knowledge on Managing Risk for the Success in Complex Construction Projects: The IPMA Approach," Sustainability, MDPI, vol. 14(15), pages 1-30, August.
    12. Iversen, Sara V. & Naomi, van der Velden & Convery, Ian & Mansfield, Lois & Holt, Claire D.S., 2022. "Why understanding stakeholder perspectives and emotions is important in upland woodland creation – A case study from Cumbria, UK," Land Use Policy, Elsevier, vol. 114(C).
    13. Kik, M.C. & Claassen, G.D.H. & Meuwissen, M.P.M. & Smit, A.B. & Saatkamp, H.W., 2021. "Actor analysis for sustainable soil management – A case study from the Netherlands," Land Use Policy, Elsevier, vol. 107(C).
    14. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    15. Dominika Ehrenbergerová & Martin Hodula & Zuzana Gric, 2022. "Does capital-based regulation affect bank pricing policy?," Journal of Regulatory Economics, Springer, vol. 61(2), pages 135-167, April.
    16. Bergeaud Antonin & Ray Simon, 2020. "The macroeconomics of teleworking [Macroéconomie du télétravail]," Bulletin de la Banque de France, Banque de France, issue 231.
    17. Ana Iolanda Vodă & Cristina Cautisanu & Camelia Grădinaru & Chris Tănăsescu & Gustavo Herminio Salati Marcondes de Moraes, 2022. "Exploring Digital Literacy Skills in Social Sciences and Humanities Students," Sustainability, MDPI, vol. 14(5), pages 1-31, February.
    18. Ana Teresa Ferreira-Oliveira & José Keating & Isabel Silva, 2020. "Sustainable HRM as a Pathway to Sustainability—HRMS Relevance on Affective Commitment through Organizational Trust," Sustainability, MDPI, vol. 12(22), pages 1-27, November.
    19. Lauren R. Gullett & Dana M. Alhasan & W. Braxton Jackson & Chandra L. Jackson, 2022. "Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States," IJERPH, MDPI, vol. 19(14), pages 1-26, July.
    20. Muhammad Arshad & Ghulam Abid & Francoise Venezia Contreras Torres, 2021. "Impact of prosocial motivation on organizational citizenship behavior: the mediating role of ethical leadership and leader–member exchange," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 133-150, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4477-:d:790202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.