IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i19p5169-d423772.html
   My bibliography  Save this article

Review of Key Performance Indicators for Process Monitoring in the Mining Industry

Author

Listed:
  • Paulina Gackowiec

    (Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Marta Podobińska-Staniec

    (Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Edyta Brzychczy

    (Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Christopher Kühlbach

    (Talpasolutions GmbH, 45327 Essen, Germany)

  • Toyga Özver

    (Talpasolutions GmbH, 45327 Essen, Germany)

Abstract

The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business processes are a source of revenue and become an implementation of business strategy. The critical elements in process management in an enterprise are process monitoring and control. It is therefore essential to identify the Key Performance Indicators (KPIs) that are relevant to the analysed processes. Process monitoring can be performed at various levels of management, as well as from different perspectives: operational, financial, security, or maintenance. Some of the indicators known from other fields (such as personnel management, finance, or lean manufacturing) can be used in mining. However, the operational mining processes require a definition of specific indicators, especially in the context of increasing the productivity of mining machines and the possibility of using sensor data from machines and devices. The article presents a list of efficiency indicators adjusted to the specifics and particular needs of the mining industry resulting from the Industry 4.0 concept, as well as sustainable business performance. Using the conducted research and analysis, a list of indicators has been developed concerning person groups, which may serve as a benchmark for mining industry entities. The presented proposal is a result of work conducted in the SmartHUB project, which aims to create an Industrial Internet of Things (IIoT) platform that will support process management in the mining industry.

Suggested Citation

  • Paulina Gackowiec & Marta Podobińska-Staniec & Edyta Brzychczy & Christopher Kühlbach & Toyga Özver, 2020. "Review of Key Performance Indicators for Process Monitoring in the Mining Industry," Energies, MDPI, vol. 13(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5169-:d:423772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/19/5169/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/19/5169/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mokhinabonu Mardonova & Yosoon Choi, 2018. "Review of Wearable Device Technology and Its Applications to the Mining Industry," Energies, MDPI, vol. 11(3), pages 1-14, March.
    2. Krzysztof Skrzypkowski & Waldemar Korzeniowski & Krzysztof Zagórski & Anna Zagórska, 2020. "Adjustment of the Yielding System of Mechanical Rock Bolts for Room and Pillar Mining Method in Stratified Rock Mass," Energies, MDPI, vol. 13(8), pages 1-23, April.
    3. Krzysztof Skrzypkowski, 2019. "The Influence of Room and Pillar Method Geometry on the Deposit Utilization Rate and Rock Bolt Load," Energies, MDPI, vol. 12(24), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaroslaw Wajs & Paweł Trybała & Justyna Górniak-Zimroz & Joanna Krupa-Kurzynowska & Damian Kasza, 2021. "Modern Solution for Fast and Accurate Inventorization of Open-Pit Mines by the Active Remote Sensing Technique—Case Study of Mikoszów Granite Mine (Lower Silesia, SW Poland)," Energies, MDPI, vol. 14(20), pages 1-17, October.
    2. Jaroslav Vrchota & Petr Řehoř & Monika Maříková & Martin Pech, 2020. "Critical Success Factors of the Project Management in Relation to Industry 4.0 for Sustainability of Projects," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    3. Sergey Zhironkin & Elena Dotsenko, 2023. "Review of Transition from Mining 4.0 to 5.0 in Fossil Energy Sources Production," Energies, MDPI, vol. 16(15), pages 1-35, August.
    4. Claudia Tania Picinin & Bruno Pedroso & Maik Arnold & Renata Vidart Klafke & Guilherme Moreira Caetano Pinto, 2023. "A Review of the Literature about Sustainability in the Work of the Future: An Overview of Industry 4.0 and Human Resources," Sustainability, MDPI, vol. 15(16), pages 1-21, August.

    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. Krzysztof Skrzypkowski, 2020. "Case Studies of Rock Bolt Support Loads and Rock Mass Monitoring for the Room and Pillar Method in the Legnica-Głogów Copper District in Poland," Energies, MDPI, vol. 13(11), pages 1-20, June.
    2. Krzysztof Skrzypkowski, 2020. "Decreasing Mining Losses for the Room and Pillar Method by Replacing the Inter-Room Pillars by the Construction of Wooden Cribs Filled with Waste Rocks," Energies, MDPI, vol. 13(14), pages 1-20, July.
    3. Krzysztof Skrzypkowski & Waldemar Korzeniowski & Krzysztof Zagórski & Anna Zagórska, 2020. "Modified Rock Bolt Support for Mining Method with Controlled Roof Bending," Energies, MDPI, vol. 13(8), pages 1-20, April.
    4. Grzegorz Debita & Przemysław Falkowski-Gilski & Monika Zamłyńska & Marcin Habrych & Bogdan Miedziński & Teresa Kupczyk & Bartosz Polnik, 2022. "Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System," Energies, MDPI, vol. 15(10), pages 1-15, May.
    5. Artur Kozłowski & Łukasz Bołoz, 2021. "Design and Research on Power Systems and Algorithms for Controlling Electric Underground Mining Machines Powered by Batteries," Energies, MDPI, vol. 14(13), pages 1-21, July.
    6. Krzysztof Skrzypkowski, 2021. "Determination of the Backfilling Time for the Zinc and Lead Ore Deposits with Application of the BackfillCAD Model," Energies, MDPI, vol. 14(11), pages 1-19, May.
    7. Hyunji Lee & Katherine A. Kim, 2018. "Design Considerations for Parallel Differential Power Processing Converters in a Photovoltaic-Powered Wearable Application," Energies, MDPI, vol. 11(12), pages 1-17, November.
    8. Yuanyuan Pu & Derek B. Apel & Stanislaw Prusek & Andrzej Walentek & Tomasz Cichy, 2021. "Back-analysis for initial ground stress field at a diamond mine using machine learning approaches," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 191-203, January.
    9. Krzysztof Skrzypkowski, 2021. "An Experimental Investigation into the Stress-Strain Characteristic under Static and Quasi-Static Loading for Partially Embedded Rock Bolts," Energies, MDPI, vol. 14(5), pages 1-17, March.
    10. Krzysztof Skrzypkowski, 2020. "Comparative Analysis of the Mining Cribs Models Filled with Gangue," Energies, MDPI, vol. 13(20), pages 1-18, October.
    11. Maryam Pishgar & Salah Fuad Issa & Margaret Sietsema & Preethi Pratap & Houshang Darabi, 2021. "REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health," IJERPH, MDPI, vol. 18(13), pages 1-42, June.
    12. Yongkang Yang & Xuecong Xu & Chenlong Wang, 2023. "Study on the Mechanism of Surrounding Rock Deformation and Its Control for Roof Cutting Retained Gob-Side Entry in Close-Distance Coal Seams Co-Mining," Energies, MDPI, vol. 16(11), pages 1-17, May.
    13. Krzysztof Skrzypkowski & Krzysztof Zagórski & Anna Zagórska & Fhatuwani Sengani, 2022. "Access to Deposits as a Stage of Mining Works," Energies, MDPI, vol. 15(22), pages 1-16, November.
    14. Devendra Joshi & Hamed Gholami & Hitesh Mohapatra & Anis Ali & Dalia Streimikiene & Susanta Kumar Satpathy & Arvind Yadav, 2022. "The Application of Stochastic Mine Production Scheduling in the Presence of Geological Uncertainty," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    15. Krzysztof Lalik & Ireneusz Dominik & Paweł Gut & Krzysztof Skrzypkowski & Waldemar Korzeniowski & Krzysztof Zagórski, 2021. "Non-Destructive Acoustical Rock Bolt Testing System with Intelligent Filtering in Salt Mine ‘Wieliczka’," Energies, MDPI, vol. 14(17), pages 1-16, September.
    16. Krzysztof Skrzypkowski & Waldemar Korzeniowski & Krzysztof Zagórski & Anna Zagórska, 2020. "Adjustment of the Yielding System of Mechanical Rock Bolts for Room and Pillar Mining Method in Stratified Rock Mass," Energies, MDPI, vol. 13(8), pages 1-23, April.
    17. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    18. Houqiang Yang & Changliang Han & Nong Zhang & Yuantian Sun & Dongjiang Pan & Changlun Sun, 2020. "Long High-Performance Sustainable Bolt Technology for the Deep Coal Roadway Roof: A Case Study," Sustainability, MDPI, vol. 12(4), pages 1-14, 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:jeners:v:13:y:2020:i:19:p:5169-:d:423772. 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.