Exploring Artificial Intelligence Integration in Supply Chain Management: A Review |
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© 2022 by IJCTT Journal | ||
Volume-70 Issue-8 |
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Year of Publication : 2022 | ||
Authors : Kelvin K. Omieno, Samson Kitheka | ||
DOI : 10.14445/22312803/IJCTT-V70I8P101 |
How to Cite?
Kelvin K. Omieno, Samson Kitheka, "Exploring Artificial Intelligence Integration in Supply Chain Management: A Review," International Journal of Computer Trends and Technology, vol. 70, no. 8, pp. 1-7, 2022. Crossref, https://doi.org/10.14445/22312803/IJCTT-V70I8P101
Abstract
There is exponential growth in Information and communication technology, and its adoption is spreading rapidly in supply chain management (SCM), which is critical in optimizing supply chain network flow decisions. As companies seek to improve supply chain effectiveness through increased integration, ICT can be considered a key enabler for supply chain management by supporting information-sharing; hence, organizations realise competitiveness, lower inventory and supply chain costs, improve service level, and reduce risks. Today organizations are adopting Artificial Intelligence. This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain management (SCM) through a systematic review of the existing literature. We, therefore, propose a maturity model that can support in-depth empirical studies seeking to explore how Artificial Intelligence influences integration in supply chain fields, including logistics, marketing, supply chain and production. This paper provides insights through systematic analysis and synthesis.
Keywords
Artificial Intelligence, Information and Communication Technology, Maturity Model, Supply Chain Management.
Reference
[1] Lee, W.-I., Shih, B.-Y., & Chen, C.-Y, “ Retracted: A Hybrid Artificial Intelligence Sales-Forecasting System in the Convenience Store Industry,” Human Factors and Ergonomics in Manufacturing & Service Industries, vol.22, pp.188–196, 2012. Https://Doi.Org/ 10.1002/Hfm.20272
[2] Boone T., & Ganeshan, R, “The Frontiers of E Business Technology and Supply Chains,” Journal of Operations Management, vol.25, no.6, pp. 1195-1198, 2007.
[3] Guzman, A. L., & Lewis, S. C, “ Artificial Intelligence and Communication: A Human– Machine Communication Research Agenda,” New Media & Society, vol.22, no.1, pp. 70-86.
[4] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D, “ Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy,” International Journal of Information Management, 2019. DOI: 10.1016/J.Ijinfomgt.2019.08.002
[5] Schutzer, D, “Business Expert Systems: the Competitive Edge,” Expert Systems With Applications, vol.1, pp.17–21. Https://Doi.Org/10.1016/0957-4174(90)90065-3
[6] Schniederjans, D. G., Curado, C., & Khalajhedayati, M, “ Supply Chain Digitization Trends: An Integration of Knowledge Management,” International Journal of Production Economics, 2020. DOI: 10.1016/J.Ijpe.2019.07.012
[7] Huin, S. F., Luong, L. H. S., & Abhary, K, “ Knowledge-Based Tool for Planning of Enterprise Resources in ASEAN Smes,” Robotics and Computer-Integrated Manufacturing, vol.19, no.5, pp. 409- 414, 2003.
[8] Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M, “ Artificial Intelligence in Supply Chain Management: A Systematic Literature Review,” Journal of Business Research, vol.122, pp.502-517, 2021.
[9] Wamba, S.F., Bawack, R. E., Guthrie, C., Queiroz, M. M., & Carillo, K. D. A, “ Are We Preparing for A Good AI Society? A Bibliometric Review and Research Agenda,” Technological Forecasting & Social Change, 2020. DOI: 10.1016/J.Techfore.2020.120482
[10] Jarrahi, M. H, “ Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making,” Business Horizons, vol.61, pp.577–586, 2018. Https://Doi.Org/ 10.1016/J.Bushor.2018.03.007
[11] Verma, S., & Gustafsson, A, “ Investigating the Emerging COVID-19 Research Trends in the Field of Business and Management: A Bibliometric Analysis Approach,” Journal of Business Research, vol.118, pp.253–261, 2020. Https://Doi.Org/10.1016/J.Jbusres.2020.06.057
[12] Bravo, C., Castro, J. A., Saputelli, L., Ríos, A., Aguilar-Martin, J., & Rivas, F, “ An Implementation of A Distributed Artificial Intelligence Architecture To the Integrated Production Management,” Journal of Natural Gas Science and Engineering, vol.3, pp.735– 747, 2011. Https://Doi.Org/10.1016/J.Jngse.2011.08.002
[13] Tranfield, D., Denyer, D., & Smart, P, “Towards A Methodology for Developing Evidence-Informed Management Knowledge By Means of Systematic Review,” British Journal of Management, vol.14, pp.207–222, 2003.
[14] Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S, “Systematic Literature Reviews in Software Engineering–A Systematic Literature Review.” Information and Software Technology, vol.51, pp.7–15, 2009.
[15] Denyer, D., Tranfield, D, “Producing A Systematic Review. Sage Handb. Organ. Res. Methods,” the Sage Handbook of Organizational Research Methods. - Los Angeles, Calif. [U.A.] : SAGE, ISBN 978-1-4462-0064-3. - 2009, pp. 671-689, 2009.
[16] Chen, S. H., Jakeman, A. J., & Norton, J. P, “ Artificial Intelligence Techniques: An Introduction To Their Use for Modelling Environmental Systems,” Mathematics and Computers in Simulation, vol.78, pp.379–400, 2008. Https://Doi.Org/10.1016/J. Matcom.2008.01.028
[17] Min, H, “Artificial Intelligence in Supply Chain Management: Theory and Applications,” International Journal of Logistics: Research and Applications, vol.13, no.1, pp.13-39, 2010.
[18] Geman, S., & Johnson, M, “Probabilistic Grammars and Their Applications. in N. J. Smelser, & P. B. Baltes (Eds.),” International Encyclopedia of the Social & Behavioral Sciences , pp.12075–12082. Oxford: Pergamon. Https://Doi.Org/ 10.1016/B0-08-043076- 7/00489-7.
[19] Cohen, K. B, “ Chapter 6 - Biomedical Natural Language Processing and Text Mining. in I. N. Sarkar (Ed.),” Methods in Biomedical Informatics , pp.141–177, 2014. Oxford: Academic Press. Https://Doi.Org/10.1016/B978-0-12-401678-1.00006-3.
[20] Van Den Broeck, E., Zarouali, B., & Poels, K, “Chatbot Advertising Effectiveness: When Does the Message Get Through? Computers in Human Behavior,” vol.98, pp.150–157. Https://Doi.Org/10.1016/J.Chb.2019.04.009
[21] Letheren, K., & Glavas, C, “ Embracing the Bots: How Direct To Consumer Advertising Is About To Change Forever,” the Conversation, 2017.
[22] Huang, M. H., & Rust, R. T, “Engaged To A Robot? the Role of AI in Service,” Journal of Service Research, 2020. DOI: 10.1177/1094670520902266
[23] Gligor, A., Dumitru, C.-D., & Grif, H.-S, “ Artificial Intelligence Solution for Managing A Photovoltaic Energy Production Unit,” Procedia Manufacturing, vol.22, pp.626–633, 2018. Https://Doi.Org/10.1016/J.Promfg.2018.03.091
[24] Sheremetov, L. B., Gonz´ Alez-S´ Anchez, A., L´ Opez-Y´ A˜ Nez, I., & Ponomarev, A. V, “Time Series Forecasting: Applications To the Upstream Oil and Gas Supply Chain IFAC Proc,” vol.46, pp.957–962, 2013.Https://Doi.Org/10.3182/20130619-3-RU-3018.00526
[25] Küfner, T., Uhlemann, T.H.-J., Ziegler, B, “ Lean Data in Manufacturing Systems: Using Artificial Intelligence for Decentralized Data Reduction and Information Extraction,” Procedia CIRP, 51st CIRP Conference on Manufacturing Systems,vol.72, pp.219–224, 2018. Https://Doi.Org/10.1016/J.Procir.2018.03.125.
[26] Efendigil, T., ¨ Onüt, S., & Kahraman, C, “A Decision Support System for Demand Forecasting With Artificial Neural Networks and Neuro-Fuzzy Models: A Comparative Analysis,” Expert Systems With Applications, vol.36, pp.6697–6707, 2009. Https://Doi.Org/10.1016/J. Eswa.2008.08.058
[27] Amirkolaii, K. N., Baboli, A., Shahzad, M. K., & Tonadre, R, “ Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains By Using Artificial Intelligence (AI),” IFAC-Pap, vol.50, pp.15221–15226, 2017. Https://Doi.Org/10.1016/J. Ifacol.2017.08.2371
[28] Martínez-L´ Opez, F. J., & Casillas, J, “ Artificial Intelligence-Based Systems Applied in Industrial Marketing: An Historical Overview, Current and Future Insights,” Industrial Marketing Management Special Issue on Applied Intelligent Systems in Business-To- Business Marketing, vol.42, pp.489–495, 2013. Https://Doi.Org/10.1016/J.Indmarman.2013.03.001
[29] Heger, J., Branke, J., Hildebrandt, T., & Scholz-Reiter, B, “Dynamic Adjustment of Dispatching Rule Parameters in Flow Shops With Sequence-Dependent Set-Up Times,” International Journal of Production Research, vol. 54, pp.6812–6824, 2016. Https://Doi.Org/ 10.1080/00207543.2016.1178406
[30] Kasie, F. M., Bright, G., & Walker, A, “ Decision Support Systems in Manufacturing: A Survey and Future Trends,” Journal of Modelling in Management, 2017. Https://Doi.Org/ 10.1108/JM2-02-2016-0015
[31] Bala, P. K, “ Improving Inventory Performance With Clustering Based Demand Forecasts,” Journal Model Management, vol.7, pp.23–37, 2012. Https://Doi.Org/10.1108/ 17465661211208794
[32] Bundy, A. (Ed.), “Artificial Intelligence Techniques: A Comprehensive Catalogue (4th Ed.),” Berlin Heidelberg: Springer-Verlag, 1997.
[33] Martinez-Barbera, H., & Herrero-Perez, D, “ Development of A Flexible AGV for Flexible Manufacturing Systems,” Ind. Robot Int. J., vol.37, pp.459–468, 2010. Https://Doi.Org/ 10.1108/01439911011063281
[34] Ellram, L. M., & Ueltschy Murfield, M. L, “Supply Chain Management in Industrial Marketing–Relationships Matter,” Industrial Marketing Management, vol.79, pp.36–45, 2019. Https://Doi.Org/10.1016/J.Indmarman.2019.03.007
[35] Treleaven, P., & Batrinca, B, “Algorithmic Regulation: Automating Financial Compliance Monitoring and Regulation Using AI and Blockchain,” Journal of Financial Transformation, vol.45, pp.14-21, 2017.
[36] Dubey, R., Gunasekaran, A., Childe, S. J., & Papadopoulos, T, “Skills Needed in Supply Chain-Human Agency and Social Capital Analysis in Third Party Logistics,” Management Decision, vol.56, no.1, pp. 143-159, 2018.
[37] Rekha, A. G., Abdulla, M. S., & Asharaf, S, “Artificial Intelligence Marketing: An Application of A Novel Lightly Trained Support Vector Data Description,” J. Inf. Optim. Sci., vol.37, pp.681–691, 2016. Https://Doi.Org/10.1080/02522667.2016.1191186
[38] Defee, C. C., & Fugate, B. S, “ Changing Perspective of Capabilities in the Dynamic Supply Chain Era,” International Journal of Logistics Management, vol.21, no.2, pp.180-206, 2010.
[39] 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, vol.58, no.10, pp. 2904-2915, 2020.
[40] Datta, P, “ Supply Network Resilience: A Systematic Literature Review and Future Research,” International Journal of Logistics Management, vol.28, no.4, pp.1387-1424, 2017.
[41] Sun, M., Ji, J., & Ampimah, B. C, “ How To Implement Real-Time Pricing in China? A Solution Based on Power Credit Mechanism,” Applied Energy, vol.231, pp.1007–1018, 2018. Https:// Doi.Org/10.1016/J.Apenergy.2018.09.086
[42] Baryannis, G., Validi, S., Dani, S., & Antoniou, G, “ Supply Chain Risk Management and Artificial Intelligence: State of the Art and Future Research Directions,” International Journal of Production Research, vol.57, no.7, pp. 2179-2202, 2019.
[43] Kearney, V., Chan, J. W., Valdes, G., Solberg, T. D., & Yom, S. S, “ the Application of Artificial Intelligence in the IMRT Planning Process for Head and Neck Cancer,” Oral Oncology, vol.87, pp.111–116, 2018. Https://Doi.Org/10.1016/J.Oraloncology.2018.10.026
[44] Modgil, S, Singh, RK and Hannibal, C , “Artificial Intelligence for Supply Chain Resilience: Learning From Covid-19,” the International Journal of Logistics Management. ISSN 0957-4093, 2021.
[45] Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M, “ Reshaping Business With Artificial Intelligence: Closing the Gap Between Ambition and Action ,” Rev: MIT Sloan Manag, pp.59, 2017.
[46] Kearney, V., Chan, J. W., Valdes, G., Solberg, T. D., & Yom, S. S, “the Application of Artificial Intelligence in the IMRT Planning Process for Head and Neck Cancer.” Oral Oncology, vol.87, pp.111–116, 2018. Https://Doi.Org/10.1016/J.Oraloncology.2018.10.026
[47] Rosenstock, C., Johnston, R. S., & Anderson, L. M, “ Maturity Model Implementation and Use: A Case Study.” Seminars & Symposium, 2000.