2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 4 , Issue 1 , PP: 56-68, 2021 | Cite this article as | XML | Html | PDF | Full Length Article
Ahmed Abdelmonem 1 * , Shimaa S. Mohamed 2
Doi: https://doi.org/10.54216/JISIoT.040104
In the industry 4.0 idea, new cutting-edge techniques like the Internet of Things (IoT) are advocated. There is still a long way to go before IoT is widely adopted in the circular economy. The goal of this research is to identify the most significant impediments to the integration of IoT in the circular economy in the manufacturing industry. For this purpose, survey research was carried out to provide a framework for the assessment of the hurdles to IoT adoption in the circular economy. This led to a new approach that combines the SWARA and TOPSIS methodologies based on MCDM. The SWARA model is employed to compute the weights of criteria, while the TOPSIS approach is used to rank different manufacturing businesses under the identified obstacles.
MCDM , Industry 4.0 , IoT , TOPSIS , SWARA
[1] Y. Cui, W. Liu, P. Rani, and M. Alrasheedi, “Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector,” Technological Forecasting and Social Change, vol. 171, p. 120951, 2021.
[2] M. Lieder and A. Rashid, “Towards circular economy implementation: a comprehensive review in context of manufacturing industry,” Journal of cleaner production, vol. 115, pp. 36–51, 2016.
[3] R. B. Egenhoefer, Routledge Handbook of Sustainable Design. Routledge London, 2017.
[4] N. M. P. Bocken, I. De Pauw, C. Bakker, and B. Van Der Grinten, “Product design and business model strategies for a circular economy,” Journal of industrial and production engineering, vol. 33, no. 5, pp. 308–320, 2016.
[5] P. Ghisellini, C. Cialani, and S. Ulgiati, “A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems,” Journal of Cleaner production, vol. 114, pp. 11–32, 2016.
[6] J. Li et al., “PSOTrack: A RFID-based system for random moving objects tracking in unconstrained indoor environment,” IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4632–4641, 2018.
[7] W. Wang et al., “Realizing the potential of the internet of things for smart tourism with 5G and AI,” IEEE Network, vol. 34, no. 6, pp. 295–301, 2020.
[8] W. Wei, M. Guizani, S. H. Ahmed, and C. Zhu, “Guest editorial: special section on integration of big data and artificial intelligence for internet of things,” IEEE Transactions on Industrial Informatics, vol. 16, no. 4. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 445 HOES LANE, PISCATAWAY, NJ …, pp. 2562–2565, 2020.
[9] A. Zielonka, A. Sikora, M. Woźniak, W. Wei, Q. Ke, and Z. Bai, “Intelligent internet of things system for smart home optimal convection,” IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4308–4317, 2020.
[10] S.-W. Chen et al., “Confidentiality protection of digital health records in cloud computing,” Journal of medical systems, vol. 40, no. 5, pp. 1–12, 2016.
[11] P. Rosa, C. Sassanelli, A. Urbinati, D. Chiaroni, and S. Terzi, “Assessing relations between Circular Economy and Industry 4.0: a systematic literature review,” International Journal of Production Research, vol. 58, no. 6, pp. 1662–1687, 2020.
[12] A. Alcayaga, M. Wiener, and E. G. Hansen, “Towards a framework of smart-circular systems: An integrative literature review,” Journal of cleaner production, vol. 221, pp. 622–634, 2019.
[13] C. J. C. Jabbour, A. B. L. de Sousa Jabbour, J. Sarkis, and M. Godinho Filho, “Unlocking the circular economy through new business models based on large-scale data: an integrative framework and research agenda,” Technological Forecasting and Social Change, vol. 144, pp. 546–552, 2019.
[14] P. Tecchio, C. McAlister, F. Mathieux, and F. Ardente, “In search of standards to support circularity inproduct policies: A systematic approach,” Journal of cleaner production, vol. 168, pp. 1533–1546, 2017.
[15] P. van Loon and L. N. Van Wassenhove, “Assessing the economic and environmental impact of remanufacturing: a decision support tool for OEM suppliers,” International Journal of Production Research, vol. 56, no. 4, pp. 1662–1674, 2018.
[16] M. Braungart, W. McDonough, and A. Bollinger, “Cradle-to-cradle design: creating healthy emissions–a strategy for eco-effective product and system design,” Journal of cleaner production, vol. 15, no. 13–14, pp. 1337–1348, 2007.
[17] A. Rymaszewska, P. Helo, and A. Gunasekaran, “IoT powered servitization of manufacturing–an exploratory case study,” International journal of production economics, vol. 192, pp. 92–105, 2017.
[18] M. Spring and L. Araujo, “Product biographies in servitization and the circular economy,” Industrial Marketing Management, vol. 60, pp. 126–137, 2017.
[19] M. Preston and J. P. Herron, “Minerals and metals scarcity in manufacturing: The ticking time bomb. PwC.” 2016.
[20] R. K. Singh, A. Kumar, J. A. Garza-Reyes, and M. M. de Sá, “Managing operations for circular economy in the mining sector: An analysis of barriers intensity,” Resources Policy, vol. 69, p. 101752, 2020.
[21] R. M. Vanalle, G. M. D. Ganga, M. Godinho Filho, and W. C. Lucato, “Green supply chain management: An investigation of pressures, practices, and performance within the Brazilian automotive supply chain,” Journal of cleaner production, vol. 151, pp. 250–259, 2017.
[22] G. C. Nobre and E. Tavares, “Assessing the role of big data and the internet of things on the transition to circular economy: Part II: An extension of the ReSOLVE framework proposal through a literature review,” Johnson Matthey Technology Review, vol. 64, no. 1, pp. 32–41, 2020.
[23] A. Urbinati, D. Chiaroni, and V. Chiesa, “Towards a new taxonomy of circular economy business models,” Journal of Cleaner Production, vol. 168, pp. 487–498, 2017.
[24] S. Sauvé, S. Bernard, and P. Sloan, “Environmental sciences, sustainable development and circular economy: Alternative concepts for trans-disciplinary research,” Environmental development, vol. 17, pp. 48–56, 2016.
[25] V. Ranta, J. Keränen, and L. Aarikka-Stenroos, “How B2B suppliers articulate customer value propositions in the circular economy: Four innovation-driven value creation logics,” Industrial Marketing Management, vol. 87, pp. 291–305, 2020.
[26] V. Ranta, L. Aarikka-Stenroos, and S. J. Mäkinen, “Creating value in the circular economy: A structured multiple-case analysis of business models,” Journal of cleaner production, vol. 201, pp. 988–1000, 2018.
[27] J. Frishammar and V. Parida, “Circular business model transformation: A roadmap for incumbent firms,” California Management Review, vol. 61, no. 2, pp. 5–29, 2019.
[28] A. Murray, K. Skene, and K. Haynes, “The circular economy: an interdisciplinary exploration of the concept and application in a global context,” Journal of business ethics, vol. 140, no. 3, pp. 369–380, 2017.
[29] R. Rajala, E. Hakanen, J. Mattila, T. Seppälä, and M. Westerlund, “How do intelligent goods shape closed-loop systems?,” California Management Review, vol. 60, no. 3, pp. 20–44, 2018.
[30] V. Keršuliene, E. K. Zavadskas, and Z. Turskis, “Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA),” Journal of business economics and management, vol. 11, no. 2, pp. 243–258, 2010.
[31] A. Mardani, A. Jusoh, K. Halicka, J. Ejdys, A. Magruk, and U. N. U Ahmad, “Determining the utility in management by using multi-criteria decision support tools: a review,” Economic research-Ekonomska istraživanja, vol. 31, no. 1, pp. 1666–1716, 2018.
[32] R. V. Rao and J. P. Davim, “A decision-making framework model for material selection using a combined multiple attribute decision-making method,” The International Journal of Advanced Manufacturing Technology, vol. 35, no. 7, pp. 751–760, 2008.
[33] Y.-J. Wang, “Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan,” Expert Systems with Applications, vol. 34, no. 3, pp. 1837–1845, 2008.
[34] H. S. Hota, V. K. Awasthi, and S. K. Singhai, “Comparative analysis of AHP and its integrated techniques applied for stock index ranking,” in Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, Springer, 2018, pp. 127–134.
