Електронний науково-практичний журнал

  1. Home
  2. Artificial intelligence in…

Artificial intelligence in supply chain management: opportunities and threats for professional competence

UDC 004:65.01:658

DOI: https://doi.org/10.46783/smart-scm/2023-19-3
JEL Classification: L81, L86, L87, L90, M15, O3.

Received: 10 June 2023

  • Tadeusz Popkowski PhD (Engineering), Associate Professor, Head of the IT team the International university of logistics and transport in Wroclaw
    Poland
  • ORCID: 0000-0003-3825-3428
  • Web of Science ResearcherID: -
  • Scopus author id: -
Download the article in English
Anotation: The article summarized the theoretical foundations of artificial intelligence and classified various technologies and algorithms related to it. Development prospects are also considered, starting from the automation of individual procedures and moving on to the development of complex autonomous systems for decision-making. Further, a detailed analysis of the transformation of key business processes in supply chains under the influence of artificial intelligence was carried out. This made it possible to discover how artificial intelligence technologies affect the organization and management of supply chains, which can lead to changes in management approaches and strategies. In the article, a matrix model of the interaction of specialists with artificial intelligence in supply chain management was developed and improved. It contributes to the understanding of how to effectively combine the role of humans and artificial intelligence systems to optimize processes in supply chains. Special attention is paid to the transition from supporting to autonomous role of artificial intelligence systems in supply chains. This change in dynamics may change the balance of power between humans and AI systems, and affect accountability and control mechanisms, as well as the ethical implications of delegating authority to AI systems. Accordingly, it is important to develop the digital skills of supply chain managers and increase their level of digital competence in order to implement artificial intelligence technologies effectively and ethically. The lack of such competencies can become an obstacle in the development and successful use of artificial intelligence in supply chain management.
Keywords: supply chain management, artificial intelligence, intelligent decision-making systems, automation and digitization of business processes, digital competencies of personnel
Анотація: У статті було узагальнено теоретичні основи штучного інтелекту та класифіковано різноманітні технології та алгоритми, що пов’язані з ним. Також розглянуті перспективи розвитку, починаючи від автоматизації окремих процедур і переходячи до розробки складних автономних систем для прийняття рішень. Далі, проведений детальний аналіз трансформації ключових бізнес-процесів у ланцюгах постачання під впливом штучного інтелекту. Це дозволило виявити, як технології штучного інтелекту впливають на організацію та управління ланцюгами постачання, що може привести до зміни підходів і стратегій управління. В статті була розроблена та удосконалена матрична модель взаємодії фахівців зі штучним інтелектом в управлінні ланцюгами постачання. Це сприяє розумінню того, як ефективно поєднувати роль людей та систем штучного інтелекту для оптимізації процесів у ланцюгах постачання. Особлива увага приділена переходу від допоміжної до автономної ролі систем штучного інтелекту у ланцюгах постачання. Ця зміна в динаміці може змінити баланс влади між людьми та системами штучного інтелекту, а також впливати на механізми підзвітності та контролю, а також етичні наслідки делегування повноважень системам штучного інтелекту. Відповідно, важливо розвивати цифрові навички менеджерів, які працюють з управління ланцюгами постачання, та підвищувати їх рівень цифрової компетентності, щоб впроваджувати технології штучного інтелекту ефективно та етично. Відсутність таких компетенцій може стати перешкодою у розвитку і успішному використанні штучного інтелекту в управлінні ланцюгами постачання.
Ключові слова: управління ланцюгами постачання, штучний інтелект, інтелектуальні системи прийняття рішень, автоматизація та цифровизація бізнес-процесів, цифрові компетенції персоналу

List of references

  • Yak zminytsia rynok pratsi v nastupni 5 rokiv: vysnovky Future of Jobs Report 2023 / URL: https://happymonday.ua/yak-zminytsya-rynok-pratsi-v-nastupni-5-rokiv
  • Top Retail Trends 2023 / URL: https://eclear.com/article/top-retail-trends-2023/
  • McKinsey & Company (2021). Succeeding in the AI Supply-Chain Revolution. URL: https://www.mckinsey.com/industries/metals-and-mining/our-insights/succeeding-in-the-ai-supply-chain-revolution
  • Kriouich M., Sarir H., Mahboub O. Application of Artificial Intelligence in the Supply Chain: A Systematic Literature Review In book: Proceedings of the 6th International Conference on Big Data and Internet of Things (pp.388-401)
  • Toorajipour R., Sohrabpour V., Nazarpour A., Oghazi P., Fischl M. Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research. 2021. Vol. 122. P. 502-517.
  • Mohsen, B. (2023) Impact of Artificial Intelligence on Supply Chain Management Performance. Journal of Service Science and Management, 16, 44-58. DOI: https://doi.org/10.4236/jssm.2023.161004
  • Guilherme Dayrell Mendonça. Orlando Fontes Lima Junior . Artificial intelligence applied to supply chain operations management: a systematic literature review. International Journal of Logistics Systems and Management. 2023. Vol. 45, No. 1. Р. 1-30 DOI: https://doi.org/10.1504/IJLSM.2023.130970
  • Hokey Min (2010) Artificial intelligence in supply chain management: theory and applications, International Journal of Logistics: Research and Applications, 13:1, 13-39, DOI: https://doi.org/10.1080/13675560902736537
  • Walter S. AI impacts on supply chain performance : a manufacturing use case study tefan 1 Received: 20 March 2023 / Accepted: 18 April 2023
  • Huang, M., & Rust R. (2018). Artificial Intelligence in Service. Journal of Service Research, 21, 155-172. DOI: https://doi.org/10.1177/1094670517752459
  • Mohsen, B. (2023) Impact of Artificial Intelligence on Supply Chain Management Performance. Journal of Service Science and Management, 16, 44-58. DOI: https://doi.org/10.4236/jssm.2023.161004
  • Rahimi A., Alemtabriz A. (2022). Providing a Model of Leagile Hybrid Paradigm Practices and Its Impact on Supply Chain Performance. International Journal of Lean Six Sigma. 13, 1308-1345. DOI: https://doi.org/10.1108/IJLSS-04-2021-0073
  • Ivanov D., Dolgui A. Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research. 2020. V.58(4). Р.1-12
  • Belhadi A., Kamble S., FossoWamba S., Queiroz M.M. Building supply-chain resilience: An artificial intelligence-based technique and decision-making framework. International Journal of Production Research. 2021. №60(1). Р:1-21
  • Tazim Ahmed, Chitra Lekha Karmaker, Sumaiya Benta Nasir, Md. Abdul Moktadir, Sanjoy Kumar Paul. Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective. Computers & Industrial Engineering. 2023. №177. Р.1-12.
  • Wang, Y.; Yang, Y.; Qin, Z.; Yang, Y.; Li, J. A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management. Sustainability 2023, 15, 8564. DOI: https://doi.org/10.3390/ su15118564
  • Liu B. Integration of novel uncertainty model construction of green supply chain management for small and medium-sized enterprises using artificial intelligence. Optik. 2023. V. 273. https://doi.org/10.1016/j.ijleo.2022.170411
  • Mariani M.M., Borghi M. Artificial intelligence in service industries: customers’ assessment of service production and resilient service operations. International Journal of Production Research, 2023. 17 p. DOI: https://doi.org/10.1080/00207543.2022.2160027
  • Hendriksen C.Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption? Journal of Supply chain Management. 2023. P.1-12. DOI: https://doi.org/10.1111/jscm.12304
  • Jarrahi .M.H., Askay D., Eshraghi A. Smith P. Artificial Intelligence and Knowledge Management: A Partnership Between Human and AI. Business Horizons. 2022. V. 66(1). DOI: https://doi.org/10.1016/j.bushor.2022.03.002
  • Integration of AI-Based Chatbot(ChatGPT) And Supply Chain Management Solution To Enhance Tracking And Queries Response Manish Verma Scientist D DMSRDE, DRDO, Kanpur, India
  • Frederico, G.F. ChatGPT in Supply Chains: Initial Evidence of Applications and Potential Research Agenda. Logistics 2023, 7, 26. DOI: https:// doi.org/10.3390/logistics7020026
  • Integration of AI-Based Chatbot(ChatGPT) And Supply Chain Management Solution To Enhance Tracking And Queries Response Manish Verma Scientist D DMSRDE, DRDO, Kanpur, India
  • Skitsko V. I. Otsiniuvannia lohistychnoho ryzyku z vykorystanniam kolektyvnoho shtuchnoho intelektu. Problemy ekonomiky № 4, 2017
  • Pozniak O. V. Melnyk K.O. Lohistychni aspekty shtuchnoho intelektu v upravlinni tovaramy stratehichnoho pryznachennia. Naukovyi pohliad: ekonomika ta upravlinnia. 2020. №3 (69). S.153 -158 .
  • Kyrlyk N.Iu. «Shtuchnyi intelekt» ta yoho vykorystannia v lohistychnykh protsesakh. Aktualni problemy ekonomiky. 2021. №9-10(243-244). S. 59-66.
  • Barr A., Feigenbaum A.A. The Handbook of Artificial Intelligence. 1981. Volume 1. 1st Edition. 409 р.
  • ISO/IEC TR 24028:2020 Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence. URL: https://www.iso.org/obp/ui/#iso:std:isoiec:tr:24028:ed-1:v1:en
  • AI WATCH report ‘defining ai’: an operational definition and taxonomy of all ai different approaches. May 28, 2020. URL: https://ai-regulation.com/ai-watchreport-defining-ai-an-operational-definition-and-taxonomy-of-all-ai-differentapproaches/. (data zvernennia: 10.01.2023)
  • How different countries view artificial intelligence. / Samar Fatima, Kevin C. Desouza, and Gregory S. DawsonWednesday, June 17, 2020. URL: https://www.brookings.edu/research/how-different-countries-view-artificialintelligence/. (data zvernennia: 15.03.2023).
  • Shevchenko A.Y. Aktulanie problemy teoryy ysskustvennoho yntelekta. K.: IPShI «Nauka i osvita», 2003. 226 s.
  • Palahin, O.V. ; Kurhaiev, O.P. ; Shevchenko, A.I. Noosferna paradyhma rozvytku nauky ta shtuchnyi intelekt. Kibernetyka ta systemnyi analiz. 2017.T. 53, № 4. S. 12–21.
  • Mykhailo Fedorov: «Rozvyvaiuchy sferu shtuchnoho intelektu, my zabezpechuiemo konkurentospromozhnist Ukrainy na mizhnarodnomu rynku» URL: https://thedigital.gov.ua/news/mikhaylo-fedorov-rozvivayuchi-sferu-shtuchnogo-intelektu-mi-zabezpechuemo-konkurentospromozhnist-ukraini-na-mizhnarodnomu-rinku
  • Kontseptsiia rozvytku sfery shtuchnoho intelektu v Ukraini. Proekt. // Rozporiadzhennia KMU. Mai, 2020. URL: https://cutt.ly/zhwHJyV . (data zvernennia: 10.06.23).
  • Mohsen Soori, Behrooz Arezoo, Roza Dastres. Artificial intelligence, machine learning and deep learning in advanced robotics / review April 2023 DOI: https://doi.org/10.1016/j.cogr.2023.04.001
  • Charles, V., Emrouznejad, A. & Gherman, T. A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Ann Oper Res 327, 7–47 (2023). DOI: https://doi.org/10.1007/s10479-023-05169-w
  • Intelektualni kibernetychni systemy: evoliutsiia pryntsypiv, teorii ta bezpekovykh tekhnolohii : kol. monohr. / za red. S. I. Dotsenka, V. S. Kharchenka. – Ministerstvo osvity i nauky Ukrainy, Natsionalnyi aerokosmichnyi universytet im. M. Ye. Zhukovskoho «KhAI». – K. “Vydavnytstvo “Iuston”, 2023. – 312 s.
  • Hendriksen C. Artificial intelligence for supply chain management: Disruptive innovation or innovative. J. Supply Chain Manag. 2023. ;1–12.wileyonlinelibrary.com/journal/jscm1
  • Hokey Min (2010) Artificial intelligence in supply chain management: theory and applications, International Journal of Logistics: Research and Applications, 13:1, 13-39, DOI: https://doi.org/10.1080/13675560902736537
  • Harikumar Pallathadka, Edwin Hernan Ramirez-Asis, Telmo Pablo Loli-Poma, Karthikeyan Kaliyaperumal, Randy Joy Magno Ventayen, Mohd Naved. Applications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceedings, Volume 80, Part 3, 2023, Pages 2610-2613. DOI: https://doi.org/10.1016/j.matpr.2021.06.419
  • Ganeshkumar, C., Jena, S.K., Sivakumar, A. and Nambirajan, T. (2023), "Artificial intelligence in agricultural value chain: review and future directions", Journal of Agribusiness in Developing and Emerging Economies, Vol. 13 No. 3, pp. 379-398. DOI: https://doi.org/10.1108/JADEE-07-2020-0140
  • Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S.K. et al. Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19. Ann Oper Res 322, 217–240 (2023). DOI: https://doi.org/10.1007/s10479-022-04775-4
  • Oosthuizen, K., Botha, E., Robertson, J., & Montecchi, M. (2021). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal, 29(3), 264-273.
  • Sunil Kumar Jauhar, Shashank Mayurkumar Jani, Sachin S. Kamble, Saurabh Pratap, Amine Belhadi & Shivam Gupta (2023): How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains, International Journal of Production Research. DOI: https://doi.org/10.1080/00207543.2023.2166139
  • Bharadiya, J. (2023). Artificial Intelligence in Transportation Systems A Critical Review. American Journal of Computing and Engineering, 6(1), 34 - 45. DOI: https://doi.org/10.47672/ajce.1487
  • Sharma, R., Shishodia, A., Gunasekaran, A., Min, H., & Munim, Z. H. (2022). The role of artificial intelligence in supply chain management: mapping the territory. International Journal of Production Research, 60(24), 7527-7550.
  • Farheen Naz, Rohit Agrawal, Anil Kumar, Angappa Gunasekaran, Abhijit Majumdar, Sunil Luthra. Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions. DOI: https://doi.org/10.1002/bse.3034
  • Yu. Kharazishvili, D. Bugayko, V. Lyashenko, V. Sokolovskiy, V. Baranov. Strategizing for sustainable development of transport systems in the safety dimension. IOP Conf. Series: Earth and Environmental Science 915 (2021) 012025. DOI: https://doi.org/10.1088/1755-1315/915/1/012025

HOW TO QUOTE THIS ARTICLE:

Hryhorak M.Yu., Harmash O.M., Tadeusz Popkowski (2023) “Artificial intelligence in supply chain management: opportunities and threats for professional competence”. – Intellectualization of logistics and Supply Chain Management. [Online], vol.19, pp.24-44, available at: https://smart-scm.org/en/journal-19-2023/artificial-intelligence-in-supply-chain-management-opportunities-and-threats-for-professional-competence/. DOI: https://doi.org/10.46783/smart-scm/2023-19-3
Back to Table of Contents No 19 (2023)
https://learning.modernland.co.id/api/toto/http://himatikauny.org/wp-includes/mahjong-ways-3/https://www.jst.hvu.edu.vn/akun-pro-kamboja/https://section.iaesonline.com/akun-pro-kamboja/https://journals.uol.edu.pk/sugar-rush/http://mysimpeg.gowakab.go.id/mysimpeg/aset/https://jurnal.jsa.ikippgriptk.ac.id/plugins/https://ppid.cimahikota.go.id/assets/demo/https://journals.zetech.ac.ke/scatter-hitam/https://silasa.sarolangunkab.go.id/swal/https://sipirus.sukabumikab.go.id/storage/uploads/-/sthai/https://sipirus.sukabumikab.go.id/storage/uploads/-/stoto/https://alwasilahlilhasanah.ac.id/starlight-princess-1000/https://www.remap.ugto.mx/pages/slot-luar-negeri-winrate-tertinggi/https://waper.serdangbedagaikab.go.id/storage/sgacor/https://waper.serdangbedagaikab.go.id/public/images/qrcode/slot-dana/https://siipbang.katingankab.go.id/storage_old/maxwin/https://waper.serdangbedagaikab.go.id/public/img/cover/10k/