AIoT-based Sustainable Smart Supply Chain Framework
DOI:
https://doi.org/10.52547/ijimes.2.2.28DOR:
https://dorl.net/dor/20.1001.1.27832678.2022.2.2.3.2Keywords:
Sustainable Supply Chain, Intelligent Supply Chain, Artificial Intelligence Things (AIoT), Internet of ThingsAbstract
Purpose: Supply chains in today's global environment operate in a market that is increasingly complex and dynamic in nature. In such an environment, a stable supply chain to respond to drastic changes in customer needs becomes inevitable. Based on these studies, it is obvious that organizations operating in the field of supply chain should accelerate their focus on sustainability and use technologies such as "Internet of Things" (IoT) and artificial intelligence to achieve the organization's goal of creating sustainable processes.
Methodology: The presence of the Internet of Things, along with artificial intelligence technology, has created Artificial intelligence of things (AIoT) technology, which gives the big data from the Internet of Things great power. In this research, an attempt has been made to study and analyze the key dimensions, components and indicators of the AIoT-based sustainable supply chain. Also, a conceptual framework for Padidar intelligent supply chain based on these evolving technologies is presented, which can help to understand the elements of this intelligent supply chain in order to optimize.
Findings: A study of the literature shows that investing in this technology to achieve sustainable benefits is inevitable. In addition, the use of this technology due to networking and the presence of the Internet requires appropriate security solutions for information technology, a workforce with the required set of skills, sharing information in an integrated environment with business partners.
Originality/Value: The generalities of AIoT-based sustainable supply chain components in general, and things can be added to different industries and behaviors. Understanding the dimensions of this framework can always help to implement it effectively.
Downloads
References
Tseng, M. L., Bui, T. D., Lim, M. K., Fujii, M., & Mishra, U. (2022). Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity. International Journal of Production Economics, 245, 108401.
Giri, B. C., Molla, M. U., & Biswas, P. (2022). Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management. Expert Systems with Applications, 116396.
Nagarajan, S. M., Deverajan, G. G., Chatterjee, P., Alnumay, W., & Muthukumaran, V. (2022). Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustainable Cities and Society, 76, 103448.
Mastos, T. D., Nizamis, A., Vafeiadis, T., Alexopoulos, N., Ntinas, C., Gkortzis, D., ... & Tzovaras, D. (2020). Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. Journal of cleaner production, 269, 122377.
Nozari, H., Najafi, E., Fallah, M., & Hosseinzadeh Lotfi, F. (2019). Quantitative analysis of key performance indicators of green supply chain in FMCG industries using non-linear fuzzy method. Mathematics, 7(11), 1020.
De Vass, T., Shee, H., & Miah, S. J. (2021). Iot in supply chain management: a narrative on retail sector sustainability. International Journal of Logistics Research and Applications, 24(6), 605-624.
Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064.
Nozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2022). Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries). Sensors, 22(8), 2931.
Nahr, J. G., Nozari, H., & Sadeghi, M. E. (2021). Green supply chain based on artificial intelligence of things (AIoT). International Journal of Innovation in Management, Economics and Social Sciences, 1(2), 56-63.
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European journal of operational research, 233(2), 299-312.
Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of cleaner production, 207, 1084-1098.
Szmelter-Jarosz, A., Ghahremani-Nahr, J., & Nozari, H. (2021). A neutrosophic fuzzy optimisation model for optimal sustainable closed-loop supply chain network during COVID-19. Journal of Risk and Financial Management, 14(11), 519.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117-2135.
Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S. J., Shibin, K. T., & Wamba, S. F. (2017). Sustainable supply chain management: framework and further research directions. Journal of cleaner production, 142, 1119-1130.
Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54, 180-194.
Cetinkaya, B., Cuthbertson, R., Ewer, G., Klaas-Wissing, T., Piotrowicz, W., & Tyssen, C. (2011). Sustainable supply chain management: practical ideas for moving towards best practice. Springer Science & Business Media.
Ghahremani-Nahr, J., Nozari, H., & Najafi, S. E. (2020). Design a green closed loop supply chain network by considering discount under uncertainty. Journal of Applied Research on Industrial Engineering, 7(3), 238-266.
Ghadimi, P., Wang, C., & Lim, M. K. (2019). Sustainable supply chain modeling and analysis: Past debate, present problems and future challenges. Resources, conservation and recycling, 140, 72-84.
Panigrahi, S. S., Bahinipati, B., & Jain, V. (2018). Sustainable supply chain management: A review of literature and implications for future research. Management of Environmental Quality: An International Journal.
Haroun, A. F., Le, X., Gao, S., Dong, B., He, T., Zhang, Z., ... & Lee, C. (2021). Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications. Nano Express.
Sun, Z., Zhu, M., Zhang, Z., Chen, Z., Shi, Q., Shan, X., ... & Lee, C. (2021). Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator. Advanced Science, 8(14), 2100230.
Xiong, Z., Cai, Z., Takabi, D., & Li, W. (2021). Privacy threat and defense for federated learning with non-iid data in AIoT. IEEE Transactions on Industrial Informatics, 18(2), 1310-1321.
Nozari, H., Fallah, M., & Szmelter-Jarosz, A. (2021). A conceptual framework of green smart IoT-based supply chain management. International Journal of Research in Industrial Engineering, 10(1), 22-34.
Bronner, W., Gebauer, H., Lamprecht, C., & Wortmann, F. (2021). Sustainable AIoT: How Artificial Intelligence and the Internet of Things Affect Profit, People, and Planet. In Connected Business (pp. 137-154). Springer, Cham.
Chen, S. W., Gu, X. W., Wang, J. J., & Zhu, H. S. (2021). AIoT Used for COVID-19 Pandemic Prevention and Control. Contrast Media & Molecular Imaging, 2021.
Zaid, Y. W., Cavus, N., Omonayajo, B., Şekeroğlu, B., & Al-Turjman, F. (2021, December). Deep Learning in Mobile Devices and the Blockchain Era: An Overview. In 2021 International Conference on Forthcoming Networks and Sustainability in AIoT Era (FoNeS-AIoT) (pp. 4-8). IEEE.
Kansal, N., Bhushan, B., & Sharma, S. (2022). Architecture, Security Vulnerabilities, and the Proposed Countermeasures in Agriculture-Internet-of-Things (AIoT) Systems. In Internet of Things and Analytics for Agriculture, Volume 3 (pp. 329-353). Springer, Singapore.
Nozari, H., Najafi, S. E., Jafari-Eskandari, M., & Aliahmadi, A. (2016). Providing a model for virtual project management with an emphasis on IT projects. In Project Management: Concepts, Methodologies, Tools, and Applications (pp. 476-496). IGI Global.
Nozari, H., & Szmelter, A. (Eds.). (2018). Global supply chains in the pharmaceutical industry. IGI Global.
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Alireza Aliahmadi, Hamed Nozari, Javid Ghahremani-Nahr
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publisher
