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Tytuł artykułu

The nature of the intercontinental supply chain and the building of its resilience in a company performing quality analyzes of engine oils

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to identify a model for building a resilient supply chain in a company testing engine oil samples. Unstructured face-to-face and structured remote interviews were used as the research methods. The proposed contextual research procedure allows for the elucidation of the content of the components of the final resilient supply chain model and may facilitate theory building on the basis of future multiple case studies. As a result of the research, it was found that at the level of the described chain, its strength and continuity of flow are based on the durability of relationships with suppliers, speed, trust, and information sharing, the role of which has been explained in relation to the nature of the supply chain. Due to the nature of the chain, building its resistance on the basis of agility, which is most often indicated in model approaches, has no justification in this case. It was also established that in this process, 4.0 technologies such as the internet of things (IoT), machine learning, artificial intelligence, and cloud technologies are more important for management at the level of the entire corporation than at the level of the tested chain. The analysis covered the supply chain embedded in the industry, which (according to the author’s knowledge) was not discussed in the context of logistics processes in world literature. Therefore, the results of the work undertaken are of great cognitive value.
Słowa kluczowe
Rocznik
Strony
193--200
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
  • Poznań University of Economics and Business, Department of Logistics 10 Niepodległości Ave., 61-875 Poznań, Poland
  • Poznań University of Economics and Business, Department of Logistics 10 Niepodległości Ave., 61-875 Poznań, Poland
Bibliografia
  • 1. Abbasi, A. & Mohamadi, S. (2022) The investigation of research trends in supply chain management: an integrated method of meta-methodology and co-word analysis. International Journal of Construction Management 22(9), pp. 1775–1794, doi: 10.1080/15623599.2020.1742631.
  • 2. Bag, S., Rahman, M.S., Srivastava, G., Chan, H.L. & Bryde, D.J. (2022) The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events. International Journal of Production Economics 251, 108541, doi: 10.1016/j.ijpe.2022.108541.
  • 3. Baig, M.M.U., Ali, Y. & Rehman, O.U. (2022) Enhancing resilience of oil supply chains in context of developing countries. Operational Research in Engineering Sciences: Theory and Applications 5(1), pp. 69–89.
  • 4. Bechtsis, D., Tsolakis, N., Iakovou, E. & Vlachos, D. (2022) Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework. International Journal of Production Research 60(14), pp, 4397–4417.
  • 5. Belhadi, A., Mani, V., Kamble, S.S., Khan, S.A.R. & Verma, S. (2021) Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, doi: 10.1007/s10479- 021-03956-x.
  • 6. Booth, A., Sutton, A., Clowes, M. & James, M. (2021) Systematic approaches to a successful literature review. Third Edition. London: Sage.
  • 7. Brusset, X. & Teller, C. (2017) Supply chain capabilities, risks, and resilience. International Journal of Production Economics 184, pp. 59–68.
  • 8. Christopher, M. & Peck, H. (2004) Building the resilient supply chain. The International Journal of Logistics Management 15(2), pp. 1–13, doi:10.1108/09574090410700275.
  • 9. Cui, Y., Idota, H. & Ota, M. (2019) Improving Supply Chain Resilience with a Hybrid System Architecture. In: Lin, JW., Ting, IH., Tang, T., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2019. Communications in Computer and Information Science, vol. 1131, pp. 42–154. Springer, Singapore.
  • 10. Das, D., Datta, A., Kumar, P., Kazancoglu, Y. & Ram, M. (2022) Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach. Operations Management Research 15, pp. 249–267, doi: 10.1007/ s12063-021-00200-4.
  • 11. Iftikhar, A., Purvis, L., Giannoccaro, I. & Wang, Y. (2022) The impact of supply chain complexities on supply chain resilience: the mediating effect of big data analytics. Production Planning & Control, doi: 10.1080/09537287.2022.2032450.
  • 12. Irfan, I., Sumbal, M.S.U.K., Khurshid, F. & Chan, F.T.S. (2022) Toward a resilient supply chain model: critical role of knowledge management and dynamic capabilities, Industrial Management & Data Systems 122(5), pp. 1153–1182.
  • 13. Johnson, N., Elliott, D. & Drake, P. (2013) Exploring the role of social capital in facilitating supply chain resilience. Supply Chain Management 18(3), pp. 324–336.
  • 14. Karl, A.A., Micheluzzi, J., Leite, L.R. & Pereira, C.R. (2018) Supply chain resilience and key performance indicators: a systematic literature review. Production 28, pp. 1–16, doi: 10.1590/0103-6513.20180020.
  • 15. Kaur, H. & Singh, S.P. (2022) Disaster resilient proactive and reactive procurement models for humanitarian supply chain. Production Planning & Control 33(6–7), pp. 576– 589, doi: 10.1080/09537287.2020.1834124.
  • 16. Koulikoff-Souviron, M. & Harrison, A. (2005) Using case study methods in researching supply chains. In: Kotzab. H., Seuring, S., Mçller & M. Reiner, G. (eds.). Research methodologies in supply chain management, pp. 267–282, New York: Physica-Verlag HD.
  • 17. Maharjan, R. & Kato, H. (2022) Resilient supply chain network design: a systematic literature review. Transport Reviews 42(6), pp. 739–761.
  • 18. Maryniak, A., Bulhakova, Y. & Lewoniewski, W. (2021) Resilient supply chains 4.0 – a research review. In 2021 26th IEEE Asia-Pacific Conference on Communications (APCC), pp. 99–104.
  • 19. Maryniak, A., Bulhakova, Y., Lewoniewski, W. & Bal, M. (2020) Diffusion of knowledge in the supply chain over thirty years-thematic areas and sources of publications. In: Lopata, A., Butkienė, R., Gudonienė, D., Sukackė, V. (eds) Information and Software Technologies. ICIST 2020. Communications in Computer and Information Science, vol 1283, pp. 113–126, Springer, Cham.
  • 20. Mohammed, A. (2020) Towards ‘gresilient’ supply chain management: A quantitative study. Resources, Conservation and Recycling 155, 104641.
  • 21. Mohammed, A., Naghshineh, B., Spiegler, V. & Carvalho, H. (2021) Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach. Computers & Industrial Engineering 160, 107589.
  • 22. Orlando, B., Tortora, D., Pezzi, A. & Bitbol-Saba, N. (2022) The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak. Journal of International Management 28(1), 100876.
  • 23. Ozdemir, D., Sharma, M., Dhir, A. & Daim, T. (2022) Supply chain resilience during COVID 19 pandemic. Technology in Society, 101847.
  • 24. Ramachandran, S. & Balasubramanian, G. (2022) Toward a resilient supply chain. In: Khojasteh, Y., Xu, H., Zolfaghari, S. (eds) Supply Chain Risk Mitigation. International Series in Operations Research & Management Science 332, pp. 191–204, Springer, Cham.
  • 25. Queiroz, M.M., Wamba, S.F., Jabbour, C.J.C. & Machado, M.C. (2022) Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective. International Journal of Production Economics 245, 108405.
  • 26. Stuart, I., Mccutcheon, D., Handfield, R., Mclachlin, R. & Samson, D. (2002) Effective case research in operations management: A process perspective, Journal of Operations Management 20(5), pp. 419–433.
  • 27. Tasnim, Z., Shareef, M.A., Dwivedi, Y.K., Kumar, U., Kumar, V., Malik, F.T. & Raman, R. (2022) Tourism sustainability during COVID-19: developing value chain resilience. Operations Management Research, doi: 10.1007/ s12063-021-00250-8.
  • 28. Wang, J. & Zhao, C. (2022) Reducing carbon footprint in a resilient supply chain: examining the critical influencing factors of process integration. International Journal of Production Research, doi: 10.1080/00207543.2022.2063088.
  • 29. Yazdanparast, R., Jolai, F., Pishvaee, M.S. & Keramati, A. (2022) A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: Toward more sustainable transport fuel solutions. Renewable Energy 184, pp. 799–819, doi: 10.1016/j.renene.2021.11.081.
  • 30. Zamiela, C., Hossain, N.U.I. & Jaradat, R. (2022) Enablers of resilience in the healthcare supply chain: A case study of US healthcare industry during COVID-19 pandemic. Research in Transportation Economics 93, 101174, doi: 10.1016/j.retrec.2021.101174.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7729db6d-617a-4bdb-97b3-be9fdf07af88
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