Provide a Model in Determining the Impact of Block-Chain Technology on Supply Chain Performance using Fuzzy Inference Systems in the Automobile Industry
Subject Areas :
Industrial Management
Ali
Hossein Golzar
1
(Master Student, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Nazanin
Pilevari Salmasi
2
(Associate Professor,, Department of Industrial Management, West Tehran Branch Islamic Azad University, Tehran, Iran)
Received: 2020-12-17
Accepted : 2021-02-22
Published : 2021-04-21
Keywords:
Supply Chain,
block-chain technology,
Fuzzy Inference System,
Automotive Industry,
Abstract :
The purpose of this study is to provide a model in determining the impact of block-chain technology on supply chain performance in the automobile industry using a fuzzy inference system design. In terms of purpose, this research is considered as applied research. The statistical population is the managers of three automobile industrial companies in Iran, including IranKhodro, Saipa, and ModiranKhodro. The statistical sample size of 36 people was selected by a combination of two methods: Nonprobability sampling (Judgmental) and Snowball sampling. Using library and field studies, the factors and sub-factors of the research have been selected. After library studies, seventeen sub-criteria in three main criteria of attenuating, amplifier, and possibility were identified as a conceptual model. After Gaussian fuzzy, 125 rules are set, based on experts' opinions. According to the results, if the changes in the attenuating interval are more than 0.5, it will reduce the performance, and if it is less than 0.5, it will not have much effect on the performance. If the changes in the amplifier and possibility intervals are less than 0,5, it creates a moderate level of change in performance. And if greater than 0.5, it will increase performance output. To validate and ensure its efficiency, Extreme Condition test has been used. The results of test for three SUB-FIS and all the designed FIS, showed reasonable behavior towards the limit’s values of the inputs, which indicates the validity of the designed model and that means the system has good accuracy and validity of the evaluation.
References:
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Singh, Madhusudan & Kim, Shiho. (2018). Branch based blockchain technology in intelligent vehicle. Computer Networks, 145(9), 219-231.
Soleimani, N, Valmohammadi, C. (2017). Identifying and prioritizing factors influencing the selection of the top suppliers of e‐procurement using FDEMATEL and FANP. J Multi‐Crit Decis Anal., 1–10.
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Abeyratne, S. A., and R. P. Monfared. (2016). “Blockchain Ready Manufacturing Supply Chain Using Distributed Ledger.” International Journal of Research in Engineering and Technology 5(9), 1–10.
Adler, P.S. and Borys, B. (1996). Two types of bureaucracy: enabling and coercive. Administrative Science Quarterly, 41 (1), 61-89.
Alam Shahi, Hadi. (2018). Introduction to Blockchain. The 3rd National Conference on Innovation and Research in Electrical Engineering and Computer and Mechanical Engineering of Iran. Tehran, Mehr-e Alvand Institute of Higher Education and Center of Strategies for Achieving Sustainable Development. (in Persian)
Crosby, M., P. Pattanayak, S. Verma, and V. Kalyanaraman. (2016). Blockchain Technology: Beyond Bitcoin. Applied Innovation, 2:6–9.
Dong, F., P. Zhou, Z. Liu, D. Shen, Z. Xu, and Luo, J. (2017). Towards a Fast and Secure Design for Enterprise-Oriented Cloud Storage Systems. Concurrency and Computation: Practice and Experience, 29 (19): e4177.
Galvez, Juan Mejuto, Juan C., and Simal-Gandara, Jesus. (2018). Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry, 107(October), 222-232.
Grimm, J. H., J. S. Hofstetter, and Sarkis. J. (2016). Exploring Sub-Suppliers’ Compliance with Corporate Sustainability Standards. Journal of Cleaner Production, 112: 1971–1984.
Hald, K.S. and Mouritsen, J. (2013), Enterprise resource planning, operations and management. International Journal of Operations & Production Management, 33(8), 1075-1104.
Hawlitschek, Florian; Notheisen, Benedikt; Teubner, Timm. (2018). The limits of trust-free systems: A literature review on block chain technology and trust in the sharing economy. Electronic Commerce Research and Applications in press. Accepted manuscript, Available online 13 March 2018.
Ivanov, D., Dolgui, A., and Sokolov. B. (2018). The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics. International Journal of Production Research, 1–18.
Jahan Bin, Kia, Rezaei, Hossein, Elyasi, Fereydoun and Moradi, Alireza. (2018). International currency transfer using Block-chain. The 7th International Conference on Economics, Management, Accounting with Value Creation Approach. Shiraz, Naroon Certified Managers Training Institute. (in Persian)
Johnson, M. E. (2006). Supply Chain Management: Technology, Globalization, and Policy at a Crossroads. Interfaces 36 (3), 191–193.
Kakavand, H., Kost De Sevres, N., & Chilton, B. (2017). The blockchain revolution: An analysis of regulation and technology related to distributed ledger technologies. Available at SSRN 2849251.
Lambert, D. M., and Enz, M. G. (2017). Issues in Supply Chain Management: Progress and Potential.” Industrial Marketing Management, 62 (Supplement C), 1–16.
Lemieux, V. L. (2016). Trusting Records: Is Blockchain Technology the Answer? Records Management Journal, 26 (2), 110–139.
Leng, Kaijun, Bi, Ya; Jing, Linbo; Fu, Han-Chi; Van Nieuwenhuyse, Inneke. (2018). Research on agricultural supply chain system with double chain architecture based on blockchain technology. Future Generation Computer Systems, 86 (September 2018), 641-649.
Minoli, Daniel & Occhiogrosso, Benedict. (2018). Blockchain mechanisms for IoT security. Internet of Things, 1–2(September), 1-13.
Najafi Shoushtari, Seyyed Mansour, Bahacari, Mohammad Reza. (2018). Investigating the applications of Block-chain Technology in the maritime transport industry. The 2nd International Conference on Electrical Engineering, Computer Science and Information Technology. Hamedan, Permanent Secretariat of the Conference. (in Persian)
Reyna, Ana, Mart´ın, Cristian; Chen, Jaime; Soler, Enrique and D´ıaz, Manuel. (2018). On blockchain and its integration with IoT. Challenges and opportunities. Future Generation Computer Systems, 88 (November), 173-190.
Sarpong, S. (2014). Traceability and Supply Chain Complexity: Confronting the Issues and Concerns. European Business Review, 26 (3),271–284.
Seuring, S., J. Sarkis, Müller, M. and Rao, P. (2008). Sustainability and Supply Chain Management – An Introduction to the Special Issue. Journal of Cleaner Production, 16 (15), 1545–1551.
Singh, Madhusudan & Kim, Shiho. (2018). Branch based blockchain technology in intelligent vehicle. Computer Networks, 145(9), 219-231.
Soleimani, N, Valmohammadi, C. (2017). Identifying and prioritizing factors influencing the selection of the top suppliers of e‐procurement using FDEMATEL and FANP. J Multi‐Crit Decis Anal., 1–10.
Swan, M. (2015). Blockchain: Blueprint for a new economy. O’Reilly Media, Inc.
Tranfield, D., Denyer, D. and Smart, P. (2003). Towards a methodology for developing evidenceinformed management knowledge by means of systematic review. British Journal of Management,14 (3), 207-222.
Yli-Huumo, J., Ko, D., Choi, S., Park, S., and Smolander, K. (2016). Where Is Current Research on Blockchain Technology? A Systematic Review. PLOS ONE, 11 (10), e0163477.
