1
Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Sharqiyah, Egypt
(aabdelmounem@zu.edu.eg)
2
Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Sharqiyah, Egypt
(shimaa_said@zu.edu.eg)
Abstract :
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.
Keywords :
MCDM; Industry 4.0; IoT; TOPSIS; SWARA
References :
[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 in
product 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.
Style | # |
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MLA | Ahmed Abdelmonem, Shimaa S. Mohamed. "An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers." Journal of Intelligent Systems and Internet of Things, Vol. 4, No. 1, 2021 ,PP. 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |
APA | Ahmed Abdelmonem, Shimaa S. Mohamed. (2021). An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers. Journal of Journal of Intelligent Systems and Internet of Things, 4 ( 1 ), 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |
Chicago | Ahmed Abdelmonem, Shimaa S. Mohamed. "An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers." Journal of Journal of Intelligent Systems and Internet of Things, 4 no. 1 (2021): 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |
Harvard | Ahmed Abdelmonem, Shimaa S. Mohamed. (2021). An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers. Journal of Journal of Intelligent Systems and Internet of Things, 4 ( 1 ), 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |
Vancouver | Ahmed Abdelmonem, Shimaa S. Mohamed. An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers. Journal of Journal of Intelligent Systems and Internet of Things, (2021); 4 ( 1 ): 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |
IEEE | Ahmed Abdelmonem, Shimaa S. Mohamed, An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 4 , No. 1 , (2021) : 56-68 (Doi : https://doi.org/10.54216/JISIoT.040104) |