PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2023 | 31 | nr 2 | 172--190
Tytuł artykułu

Post-Pandemic Steel Production Scenarios for Poland Based on Forecasts of Annual Steel Production Volume

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the results of forecasts made for the volume of steel production in Poland based on actual data for the period from 2006 to 2021 with forecasting until 2026. The actual data used for the forecasts included annual steel production volumes in Poland (crude steel) in millions of tons. Basic adaptive methods were used to forecast the volume of steel production for the next five years. When selecting the methods, the course of the trend of the studied phenomenon was taken into account. In order to estimate the level of admissibility of the adopted forecasting methods, as well as to select the best forecasts, the errors of apparent forecasts (ex post) were calculated. Errors were calculated in the work: RMSE Root Mean Square Error being the square root of the mean square error of the ex-post forecasts yt for the period 2006-2021; as the mean value of the relative error of expired forecasts y*t (2006-2021) - this error informs about the part of the absolute error per unit of the real value of the variable yt. Optimization of the forecast values was based on the search for the minimum value of one of the above-mentioned errors, treated as an optimization criterion. In addition, the value of the point forecast (for 2022) obtained on the basis of the models used was compared with the steel production volume obtained for 3 quarters of 2022 in Poland with the forecast for the last quarter. Forecasting results obtained on the basis of the forecasting methods used, taking into account the permissible forecast errors, were considered as the basis for determining steel production scenarios for Poland until 2026. To determine the scenarios, forecast aggregation was used, and so the central forecasts were determined separately for decreasing trends and for increasing trends, based on the average values of the forecasts obtained for the period 2022-2026. The central forecasts were considered the baseline scenarios for steel production in Poland in 2022-2026 and the projected production volumes above the baseline forecasts with upward trends were considered an optimistic scenario, while the forecasted production volumes below the central scenario for downward trends were considered a pessimistic scenario for the Polish steel industry. (original abstract)
Rocznik
Tom
31
Numer
Strony
172--190
Opis fizyczny
Twórcy
  • Silesian University of Technology
Bibliografia
  • [1] Industry 5.0. Towards a sustainable, human-centric and resilient. Brief Policy of European Commission. European Commission, Brussel, January 2021.
  • [2] N.N. Belanova, A.M. Kuznetsova, "State support mechanisms for business in the context of coronavirus pandemia", Lecture Notes in Networks and Systems, Vol. 139, pp. 288-295, 2021.
  • [3] N. Akbulaev, I. Mammadov, V. Aliyev, "Economic impact of COVID-19", Sylwan, 164(5), pp. 17-25, 2020.
  • [4] Dictionary of PWN (Polish Scientific Publishing House), Warsaw, keyword: Forecast (in Polish: Prognoza)
  • [5] Dictionary of modern Polish language (in Polish: Słownik współczesnego języka polskiego). Publisher: WILGA, Warsaw, Poland, 1996.
  • [6] Z. Pawłowski, Econometrics (in Polish: Ekonometria), Publisher: PWN, Warsaw 1966. p. 121.
  • [7] B. Gajdzik, R. Gawlik, S. Skoczypiec, "Forecasting-Scenario-Heuristic method proposal for assessment of feasibility of steel production scenarios in Poland - Managerial implications for production engineering", Archives of Civil and Mechanical Engineering, Vol. 18 No. 4, pp. 1651-1660, 2018.
  • [8] B. Gajdzik, "Polish crude steel production in pandemic year of 2020 compared to previous five years", Metalurgija, Vol. 61, No. 1, pp.137-140, 2022.
  • [9] B. Gajdzik, R. Wolniak, "Sensitivity of the steel sector to economic crises. Impact of the Covid-19 crisis on steel pro-duction in Poland", [in:] Cyber-physical systems solutions to pandemic challenges. Eds. Tushar Semwal and Faiz Iqbal. Wydawca: Boca Raton: CRC Press-Taylor & Francis Group, pp. 27-41, 2022, p-ISBN: 978-1-032-03037-1e-ISBN: 978-1-003-18638-0.
  • [10] B. Gajdzik, R. Wolniak, "Influence of the COVID-19 crisis on steel production in Poland compared to the financial crisis of 2009 and to boom periods in the market", Resources, Vol. 10 , No. 1, pp.1-17 (art. no. 4), 2021, doi: 10.3390/re-sources10010004.
  • [11] G. Gierszewska, M. Romanowska, Strategic analysis of the enterprise (in Polish: Analiza strategiczna przedsiębiorstwa), Polish Economic Publishing House (Polskie Wydawnictwo Ekonomiczne), Warsaw, pp. 49-53, 2004.
  • [12] E. Urbanowska-Sojkin, P. Banaszyk, H. Witczak, Strategic management in the enterprise (in Polish: Zarządzanie strategiczne przedsiębiorstwem), PWE Polish Economic Publishing House: Warsaw, p. 41, 2007.
  • [13] S. Taneja, M.G.Pryor, S. Sewell, A.M. Recuero, "Strategic crisis management: A basis for Reneval and crisis Prevention", Journal of Management Policy and Practices, Vol. 15(1), pp.78-85, 2014.
  • [14] Dictionary of Polish language (in Polish: Słownik języka polskiego, PWN -Polish Scientific Publishing House: Warsaw, online: https://sjp.pwn.pl/sjp/kryzys;2565070.html.
  • [15] W. Kopaliński, Słownik wyrazów obcych i zwrotów obcojęzycznych, Publishing House RYTM, Poland, 2007.
  • [16] M. Adamczyk M. Współczesny kryzys finansowy - przyczyny i konsekwencje dla gospodarki światowej. Publisher: Uniwersytet Gdański, Gdańsk, Poland, pp. 3-6, 2012.
  • [17] K.J. Engemann, The Routledge Companion to Risk. Crisis and Security, Routledge, New York, 2018.
  • [18] A. Khorram-Manesh, Handbook of Disaster and Emergency Management. Institute of Clinical Sciences. Gothenburg, 2017.
  • [19] N. Roubini, S. Mihm, Economics of the crisis (in Polish: Ekonomia kryzysu). Publishing House Wolters Kluwer Poland, Warsaw, 2011.
  • [20] P. Komorowski, Przebieg kryzysu gospodarczego w wymiarze cyklu życia. Publisher OW SGH, Warsaw, Poland, p. 281, 2013.
  • [21] World Bank, Global economic prospects., online https://www.worldbank.org/en/publication/global-eco-nomic-prospects (30.04.2021).
  • [22] Crisis management, Cambridge Business English Dictionary , Cambridge University Press, [online] https://diction-ary.cambridge.org/pl/dictionary/english/crisis-manage-ment [2020-10-01].
  • [23] W. Lidwa, Management in crisis situation (in Polish: Zarządzanie w sytuacjach kryzysowych), Publisher Akademia Obrony Narodowej, Warsaw, Poland, p. 37, 2010.
  • [24] H. Hamidovic, An introduction to crisis management. ISACA Journal, 5, pp. 1-4, 2012.
  • [25] Y. Kitamura, S. Karkour, Y.Ichisugi, N. Itsubo, "Evaluation of the Economic. Environmental and Social Impacts of the COVID-19 Pandemic on the Japanese Tourism Industry", Sustainability MDPI, 12, 10302, 2020.
  • [26] N.N. Belanova, A.M. Kuznetsova, "State support mechanisms for business in the context of coronavirus pandemic", Lecture Notes in Networks and Systems, 139, pp.288-295, 2021.
  • [27] B. Gajdzik, "Steel production in Poland with pessimistic forecasts in COVID-19 crisis", Metalurgija, Vol. 60, No. 1-2, pp. 169-172, 2021, UDC - UDK 669.18:62.001.6:338.45:02:438=111
  • [28] B. Gajdzik, "Steel production, consumption and foreign trade in Poland in crises: the financial crisis 2008-2009 and the COVID-19 crisis - first half of 2020", Metalurgija, Vol 60, No. 1-2, pp.173-176, 2021.
  • [29] C. Sapriel, "Effective Crisis Management: Tools and Best Practice for the New Millennium", Journal of Communication Management, Vol. 7, No. 4, pp. 348-355, 2010.
  • [30] K.S. Zamoum, Crisis management: A historical and conceptual approach for a better understanding of today's crises. In Crisis Management Theory & Practice. Edited by Kattarina Holla, Michal Titko and Jozef Ristvej. London: IntechOpen Limited, pp. 203-217, 2018.
  • [31] H. Hamidovic, "An introduction to crisis management", ISACA Journal., 5. 1-4, 2012.
  • [32] C. Lionis, E. Petelos, "Challenges, priorities and tasks for the generalists at the time of COVID-19 pandemic", European Journal of General Practice, Vol. 26, No. 1, pp. 104-105, 2020.
  • [33] M. Javaid, A. Haleem, R.P. Singh, MIU Haq, A. Raina, R. Su-man, " Industry 5.0: Potential Applications in COVID-19", Journal of Industrial Integration and Management-Innovation and Entrepreneurship, Vol. 5 (4), pp. 507-530, 2020, doi: 10.1142/S2424862220500220.
  • [34] B. Gajdzik, Towards Industry 4.0 versus the COVID-19 crisis - the use of selected technologies (ICT) in business [in:] Cyber-physical systems solutions to pandemic challenges. Eds. Tushar Semwal and Faiz Iqbal. Publisher: Boca Raton: CRC Press-Taylor & Francis Group, 2022, pp. 53-70.
  • [35] VUCA from: Warrner Bennis, Leadership theories, 1987 (Sawan, R., Leadership in the VUCA World, https://www.linkedin.com/pulse/leadership-vuca-world-robin-sawan, (8.Aug. 2020)
  • [36] J. Dyktus, Pandemia - katalizator wielkich zmian gospodarczych i społecznych, [in:] Ekonomiczne skutki pandemii (eds) J. Błach. B. Barszczowska. Akademia WSB, Dabrowa Górnicza, 2021, pp.27-52.
  • [37] K. Schwab, The Fourth Industrial Revolution. World Economic Forum. January 11th, 2016.
  • [38] C. Senn, The nine pillars of Industry 4.0, [online:] https://www.idashboards.com/ blog/ 2019/07/31/the-pil-lars-of-industry-4-0/ (2019-02-07).
  • [39] M. Hermann, T. Pentek, B. Otto, "Design Principles for Industrie 4.0 Scenarios. A literature review", Working Paper No. 01. Technische Universität Dortmund Fakultät Maschinenbau, 2015 [online:]http://www.iim.mb.tu-dort-mund.de/cms/de/forschung/Arbeitsberichte/Design Prin-ciples-for-Industrie-4_0-Scenarios.pdf.
  • [40] H. Kagermann, W. Wahlster and J. Helbig. eds. Recommen-dations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0, Working Group 2013; Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI-Nachrichten. April 2011.
  • [41] S. Obeidat, How Artificial Intelligence Is Helping Fight The COVID-19 Pandemic. https://www.entrepreneur.com/ar-ticle/348368 ( 05.12.2020).
  • [42] W. Naudé, Artificial Intelligence against COVID-19: An Early Review. https://towardsdatascience. com/artificial-intelligence-against-covid-19-an-early-review-92a83 60edaba?gi=3a7f01bf4326. (05.12.2020).
  • [43] H. Fadinger, J. Schymik J., The costs and benefits of home office during the COVID-19pandemic: Evidence from infections and an input-outputmodel for Germany. [in:] Covid Economics Vetted and Real-Time Papers". Ch. Wyplosz, Graduate Institute Geneva and The Centre for Economic Policy Research (CEPR), 2020.
  • [44] L.T.D. Siqueira, dos Santos A.P., R.L.F. Silva, P.A.M. Moreira, da Silva Vitor J., Ribeiro V.V. Vocal "Self-Perception of Home Office Workers During the COVID-19 Pandemic", Journal of Voice 2020.
  • [45] H.M. Von Gaudecker, R. Holler, L. Janys, B. Siflinger, Ch. Zimpelmann, Labour apply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours. Home Office. and Expectations. "Institute of Labor Economics". IZA DP 13158/2020.
  • [46] M. Winarsih Indriastuti, K. Fuad, "Impact of covid-19 on digital transformation and sustainability in small and medium enterprises (SMEs): a conceptual framework", Ad-vances in Intelligent Systems and Computing,1194 AISC, pp. 471-476, 2021.
  • [47] Energy Revolution: A Global Outlook. Drax 2018.
  • [48] Green Deal: https://www.goldmansachs.com/in-sights/pages/paving-the-way-for-the-european-green-deal.html. (10.2020).
  • [49] S. Grabowska, S. Saniuk, B. Gajdzik, "Industry 5.0: improving humanization and sustainability of Industry 4.0", Scientometrics 2022, https://doi.org/10.1007/s11192-022-04370-1
  • [50] World Steel in Figures 2022, Report of World Steel Association (2022).
  • [51] WHO Infection prevention and control during health care when novel coronavirus disease (COVID-19) is suspected or confirmed external icon. WHO. Retrieved from: https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-2020.4, access data: 29th June 2020.
  • [52] Polish steel industry. Report 2022. Publisher: Polish Steel Association. Katowice. Poland.
  • [53] Eurofer European Steel in Figures 2020, p. 15 [www.eu-rofer.eu].
  • [54] Sytuacja w przemyśle stalowym i w gospodarce narodowej popyt, podaż, prognozy. March 2020. Polish Steel Association, Katowice, Poland.
  • [55] J. Steinhoff, Transformacja polskiej energetyki jako konsekwencja European Green Deal [in:] Ekonomiczne skutki pandemii (eds) J. Błach, B. Barszczowska. Akademia WSB. Dabrowa Górnicza, pp. 251-270, 2021.
  • [56] S. Dzienniak, M. Zagórska M., Droga energia przyczyną niskiej konkurencyjności polskiej gospodarki na przykładzie przemysłu stalowego [in:] Ekonomiczne skutki pandemii (eds) J. Błach. B. Barszczowska. Akademia WSB. Dabrowa Górnicza, pp. 271-284, 2021.
  • [57] GUS, Statistics Poland, Economy Report (Raport Gospodarczy), Warsaw, Poland 2020.
  • [58] B. Gajdzik, Kryzys COVID-19 vs. kryzys finansowy z 2008-2009 w sektorze stalowym w Polsce. [in:] Ekonomiczne skutki pandemii (eds) J. Błach. B. Barszczowska. Akademia WSB. Dabrowa Górnicza. 2021. pp. 285-300.
  • [59] Polish steel industry. Report 2019. Publisher: Polish Steel Association. Katowice. Poland.
  • [60] Polish steel industry. Report 2009. Publisher: Polish Steel Association. Katowice. Poland.
  • [61] Polish steel industry. Report 2020. Publisher: Polish Steel Association. Katowice. Poland.
  • [62] Report of European Commission about restructuring of Polish steel industry, 2007.
  • [63] R. Czyżycki, R. Klóska, Econometrics and forecasting of economic phenomenon in examples and tasks (Title in Polish: Ekonometria i prognozowanie zjawisk ekonomicznych w przykładach i zadaniach), Publisher: Economicus, Szczecin, 2011.
  • [64] A. Welfe, Econometrics. Methods and Usingin Polish: Ekonometria. Metody i ich zastosowanie), Polish Economic Publishing House, Warsaw, Poland, 2009.
  • [65] J. Nazarko (ed.), Forecasting in enterprise management (Title in Polish: Prognozowanie w zarządzaniu przedsiębiorstwem. cz. III. Prognozowanie na podstawie modeli adaptacyjnych), Publisher Technical University in Bialystok (Politechnika Białostocka), Białystok, Poland, 2005.
  • [66] R.G. Brown, Smoothing. Forecasting and Prediction of Diserte Time Series. Prentice Hali. Englewood Cliffs. New York, 1963.
  • [67] D. Błaszczuk, Introduction to forecasting and simulation (Wstęp do prognozowania i symulacji. Polish Scientific Pushing House (PWN), Warsaw, Poland, 2006.
  • [68] F.S. Hillier, G.J. Lieberman, Introduction to Operations Research. 8th Edition. McGraw-Hill. International Edition, 2005.
  • [69] G. Kiłdiszew, A. Frenkel, Analysis of time series and forecasting (in Polish: Analiza szeregów czasowych i prognozowanie), Polish Economic Publishing House (PWE), Warsaw, Poland, 1976.
  • [70] B. Gajdzik, R. Gawlik, "Choosing the production function model for an optimal measurement of the restructuring efficiency of the Polish metallurgical sector in years 2000-2015", Metals, 8, 23; ISSN 2075-4701, p. 2-11, 2018.
  • [71] H. Peters, Application of Industry 4.0 concepts at steel production from an applied research perspective. Presentation at 17th IFAC Symposium on Control, Optimization, and Automation in Mining, Mineral and Metal Processing, 2016 [online:] https://tc.ifac-control.org/6/2/files/sympo-sia/vienna-2016/mmm2016_keynotes_peters.Power-Point-Präsentation (ifac-control.org).
  • [72] H. Peters, How could Industry 4.0 transform the Steel Industry? Presentation at Future Steel Forum, Warsaw, 14.-15.6.2017, [online:] PowerPoint-Präsentation (futuresteelforum.com)https://futuresteelforum.com/con-tent-images/speakers/Prof.-Dr-Harald-Peters-Industry-4.0-transform-the-steel-industry.pdf.
  • [73] B. Gajdzik, R. Wolniak, "Digitalisation and Innovation in the Steel Industry in Poland-Selected Tools of ICT in an Analysis of Statistical Data and a Case Study", Energies, 14, 3034, pp. 1-25, 2021, doi: 10.3390/en14113034https://doi.org/10.3390/en14113034.
  • [74] B. Gajdzik, R. Wolniak, "Transitioning of Steel Producers to the Steelworks 4.0 - Literature Review with Case Studies", Energies, 14, 4109; 2021, https://doi.org/10.3390/en14144109.
  • [75] B. Gajdzik, "How Steel Mills Transform into Smart Mills: Digital Changes and Development Determinants in the Polish Steel Industry", European Research Studies Journal Volume XXV, Issue 1, pp. 27-42, doi: 10.35808/ersj/2827.
  • [76] B. Gajdzik, Diagnosis of the steel industry transformation directions in Industry 4.0. (Title in Polish: Diagnoza kierunków transformacji przemysłu stalowego w przemyśle 4.0 ). Monograph. Publisher: Silesian University of Technology, Gliwice, Poland, 2022, ISBN 978-83-7880-850-3 (www.wydawnictwo.politechniki.pl).
  • [77] Chao-Yung Hsu; Jhih-Wei Huang; Li-Wei Kang; Ming-Fang Weng,Fast image stitching for continuous casting steel billet images, IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016, 26-28 October 2016, Seoul, Korea (South), Asia, doi: 10.1109/ICCE-Asia.2016.7804815.
  • [78] Chao-Yung Hsu; Bing-Shiou Ho; Li-Wei Kang; Ming-Fang Weng; Chih-Yang Lin. Fast Vision-based Surface Inspection of Defects for Steel Billets, IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016, pp. 26-28 October 2016, Seoul, Korea (South), Asia, doi: 10.1109/ICCE-Asia.2016.7804804.
  • [79] J. Brandenburger, V. Collar, G. Nastasi, F. Ferro, Ch. Schrim, J. Melcher, Big Data Solution for Quality Monitoring and Improvement on Flat Steel Production, 17th IFAC Sympo-sium on Control, Optimization and Automation in Mining, Mineral and Metal Processing (MMM)/2016/ Papersonline 49 (20), pp. 55-60, doi: 10.1016/j.ifacol.2016.10.096, (Download English Version: https://daneshyari.com/en/article/5002982).
  • [80] B. Gajdzik, J. Sitko, "An analysis of the causes of complaints about steel sheets in metallurgical products quality management systems", Metalurgija, Vol. 53, No. 1, pp.135 138, 2014.
  • [81] T. Małysa, B. Gajdzik," Predictive Models of Accidents at Work in the Steel Sector as a Framework for Sustainable Safety", Energies, 14 (1), (art. no 129), 1-20, 2021, doi: 10.3390/en14010129.
  • [82] T. Małysa, B. Gajdzik, "Research on Differentiation of Accidents at Work Considering Demographic Features of Workers in Steel Sector in Poland", Inzinerine Ekonomika-Engineering Economics, 32 (2), pp. 165-176, 2021.
  • [83] R. Miskiewicz, R. Wolniak, "Practical Application of the In-dustry 4.0 Concept in a Steel Company", Sustainability (MDPI), 12 (14), 2021.
  • [84] H. Kagermann, Change Through Digitalization - Value Creation in the Age of Industry 4.0, [in:]: H. Albach et al. (eds.), Management of Permanent Change, Springer Fachmedien Wiesbaden, pp. 23-45, 2015.
  • [85] T.A. Branca, B. Fornai, M.M.Murri, E. Streppa,A.J. Schröder, "The Challenge of Digitalization in the Steel Sector", Metals, 10(2), 288; 2020, doi:10.3390/met10020288, [online:] https://www.mdpi.com/2075-4701/10/2/288/htm.
  • [86] B. Gajdzik, "Frameworks of the Maturity Model for Industry 4.0 with Assessment of Maturity Levels on the Example of the Segment of Steel Enterprises in Poland", J. Open Innov. Technol. Mark. Complex., 8, 77, 2022, https://doi.org/10.3390/joitmc8020077.
  • [87] B. Gajdzik, W. Sroka, "Resource Intensity vs. Investment in Production Installations-The Case of the Steel Industry in Poland", Energies, 14(2):443, 2021, https://doi.org/10.3390/en14020443.
  • [88] G. del Campo, S. Calatrava, G. Canada, J. Olloqui, R. Martinez, A. Santamaria, "IoT Solution for Energy Optimization in Industry 4.0", Issues of a Real-life Implementation, Global Internet of Things Summit (GIoTS)/ 2018/ pp. 423-428.
  • [89] B. Gajdzik, W. Sroka, J. Vveinhardt, "Energy Intensity of Steel Manufactured Utilising EAF Technology as a Function of Investments Made: The Case of the Steel Industry in Poland", Energies, 14, (art. no. 5152), 2021, doi: 10.3390/en14165152.
  • [90] Action Plan for a Competitive and Sustainable Steel Industry in Europe, European Commission, COM(2013) 407 final, European Commission, Brussels, (2013-06-11).
  • [91] F.J. Valente and A.C. Neto, Intelligent Steel Inventory Tracking with IoT / RFID, IEEE International Conference on RFID Technology and Application (RFID-TA)/2017/pp. 158-163.
  • [92] D.P. Penumuru, S. Muthuswamy and Karumbu, P. "Identi-fication and classification of materials using machine vision and machine learning in the context of Industry 4.0", Journal of Intelligent Manufacturing, 31 (5), pp. 1229-1241, 2020.
  • [93] L.S. Carlsson, P.B. Samuelsson, P.G. Jonsson, "Predicting the Electrical Energy Consumption of Electric Arc Furnaces Using Statistical Modeling", Metals, 9 (9), 2019.
  • [94] Cheol Young Park; Kim, Jing Woom; Bosung Kim; Lee, Joongyoon, Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning, 2020 | IEEE ACCESS 8, pp.60890-60905, doi: 10.1109/ACCESS.2020.2983188 (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&ar-number=9046761).
  • [95] S. Kesriklioglu, F.E. Pfefferkorn, Real time temperature measurement with embedded thin-film thermocouples in milling, 8th CIRP Conference on High Performance Cutting/2018/77 , pp.618-621
  • [96] L. Fumagalli, M. Macchi (...), A. Alfieri, A Smart Mainte-nance tool for a safe Electric Arc Furnace, 12th IFAC Work-shop on Intelligent Manufacturing Systems (IMS) 2016 | IFAC Papersonline 49 (31) , pp. 19-24.
  • [97] B. Gajdzik, K. Grzybowska, "Example models of building trust in supply chains of metallurgical enterprises", Metalurgija, Vol. 54, No. 4, pp.563-566, 2012.
  • [98] F. Frederico Guilherme, "From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions", Logistics, 5, 49, 2021, https://doi.org/ 10.3390/logistics5030049.
  • [99] W. Sroka, J. Cygler, B. Gajdzik, "The Transfer of Knowledge in Intra-Organizational Networks: A Case Study Analysis", Organizacija, Vol. 47, No. 10, pp.23-34, 2014.
  • [100] Eurostat inflation 2022 Euro area inflation rate its main componnets. Eurostat (prc_hicp_inw)
  • [101] B. Gajdzik, R. Wolniak, W. Grebski, "An Econometric Model of the Operation of the Steel Industry in Poland in the Context of Process Heat and Energy Consumption", Energies, 15, 7909, 2022, https://doi.org/10.3390/en15217909.
  • [102] B. Gajdzik, R. Wolniak, W. Grebski, "Electricity and Heat Demand in Steel Industry Technological Processes in Industry 4.0 Conditions", Energies, 16, 787, 2023, https://doi.org/10.3390/en16020787, doi: 10.3390/en16020787.
  • [103] B. Gajdzik, J. Szymszal, "Generation gap management in restructured metallurgical enterprises in Poland", International Journal of Management and Economics, no. 47, July-September pp. 107-120, 2015, online: http://www.sgh.waw.pl/ijme/.
  • [104] M. Kwiecińska, "Nowy wymiar konfliktów zbrojnych: konflikt hybrydowy a konflikt pełzający", Doctrina Studia Społeczno-Polityczne, Tom 13, nr 13., 87-97, 2019, https:// czasopisma.uph.edu.pl/doctrina/article/view/1291
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171667553

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.