کاربرد اینترنت اشیا در زنجیره تأمین سبز و بررسی عوامل مؤثر برای انتخاب تأمین‌کننده سبز (مطالعه موردی: کارخانه لاستیک‌سازی مشهد)

نوع مقاله : پژوهشی

نویسندگان

1 دانشجوی دکتری تحقیق در عملیات، دانشکده علوم اقتصادی و اداری دانشگاه فردوسی مشهد، مشهد، ایران

2 استاد، دانشکده علوم اقتصادی و اداری دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

زنجیره تأمین سبز با در نظر گرفتن خط‌مشی‌های زیست‌محیطی جایگاه وسیعی در بهبود قابلیت‌های زنجیره تأمین دارد. از طرفی با توجه به گسترش تکنولوژی و هوشمندسازی اینترنت اشیا و کمک آن­ها در راستای برآوردن بهتر اهداف، مطالعه و بررسی آن‌ها در این حوزه حائز اهمیت است. این مطالعه با هدف شناسایی مهم­ترین معیارهای مؤثر در انتخاب تأمین­کننده سبز و بررسی تأثیر اینترنت اشیا روی معیارهای انتخاب تأمین­کننده سبز انجام شده است. برای نیل به این اهداف، ابتدا مسئله با روش نگاشت‌شناختی فازی وزن­های مؤثر هر معیار را شناسایی کرده و در نهایت با بررسی مرکزیت مؤثرترین معیار را معرفی می­کند. برای بررسی نقش اینترنت اشیا روی زنجیره تأمین سبز نیز تحلیل سلسله‌مراتبی فازی به کار گرفته شده است. نتایج حاکی از آن است که کنترل آلودگی هوا مهم‌ترین معیار ارزیابی تأمین‌کنندگان و نیز بیشترین تأثیر در ایتارنت اشیا را دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Application of Internet of Things in the Green Supply Chain and Investigating the Effective Factors for Selecting a Green Supplier (A Case Study: Mashhad Rubber Factory

نویسندگان [English]

  • Pardis Roozkhosh 1
  • Mostafa Kazemi 2
1 Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
2 Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad
چکیده [English]

As environmental policies are highlighted in the green supply chain, it plays an essential role in improving the supply chain capabilities. On the other hand, considering the development of technology and the Internet of Things intelligence and their potentials in goal achievement, it is important to investigate and study their applications in this field. This study aims to identify the most important criteria in selecting a green supplier and investigate the impact of the Internet of Things (IoT) on this selection. To achieve these objectives, the fuzzy cognitive map (FCM) method is used to identify the effective weights of each criterion and introduce the most effective criterion by examining the centrality. The fuzzy hierarchical analysis (FAHP) is used to investigate the role of IoT in the green supply chain. The results indicate that air pollution control is the most important criterion for evaluating the suppliers and also has the greatest impact on IoT.

کلیدواژه‌ها [English]

  • IoT
  • Green Supply Chain
  • Green Supplier
  • FCM
  • FAHP
[1]
K. Govindan, S. Rajendran, J. Sarkis and P. Murugesan, "Multi criteria decision making approaches for green supplier evaluation and selection: a literature review," J Clean Prod, vol. 98, pp. 66-83, 2015.
[2]
A. Mishra, P. Rani, K. Pardasani and A. Mardani, "A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures.," J Clean Prod, vol. 238, 117901, 2019.
[3]
U. Shankar, "How the Internet of Things Impacts Supply Chains," In bound Logistics, white paper, 2017.
[4]
H. Amoozadkhalili, "Closed-loop supply chain network design with economic pricing and environmental considerations under fuzzy uncertainty," Iranian journal of supply chain management, vol. 2, pp. 61-78, 2022, (In Persian)
[5]
B. Gülçin and G. Çifçi, "A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers," Expert Systems with Applications, vol. 39, pp. 3000-3011, 2012.
[6]
A. Çalık, "A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era," Methodologies and application, 2020.
[7]
Van Hock and Erasmus, "From reversed logistics to green supply chains," Logistics Solutions, vol. 2, pp. 28-33, 2000.
[8]
F. Arikan, "An interactive solution approach for multiple objective supplier selection problem with fuzzy parameters," Journal of intelligent manufacturing, vol. 26, no. 5, pp. 989-98, 2015.
[9]
F. Shrouf and G. Miragliotta, "Energy management based on Internet of Things: practices and framework for adoption in production management," Journal of Cleaner Production, vol. 100, pp. 235-246, 2015.
[10]
A. Deshmukh and H. Vasudevan, "Emerging supplier selection criterion in the context of traditional vs green supply chain management," International Journal of Managing Value and Supply Chains, vol. 5, no. 1, p. 19, 2014.
[11]
D. Kannan, A. Jabbour and C. Jabbour, "Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company," Eur. J. Operational Res, vol. 233, no. 2, pp. 432-447, 2014.
[12]
K. Mathiyazhagan, S. Sudhakar and A. Bhalotia, "Modeling the criteria for selection of suppliers towards green aspect: a case in Indian automobile industry," OPSEARCH, vol. 55, pp. 65-84, 2018.
[13]
M. Yazdani, P. . Chatterjee, E. Kazimieras Zavadska and S. Hashemkhani Zolfani, "Integrated QFD-MCDM framework for green supplier selection," Journal of Cleaner Production, pp. 1-13, 2016.
[14]
R. Rajesh and V. Ravi, "Supplier selection in resilient supply chains: a grey relational analysis approach," J. Clean. Prod, vol. 86, pp. 343-359, 2015.
[15]
S. Kim and S. Kim, "A multicriteria approach toward discovering killer IOT application in Korea," Technological Forecasting and Social Change, vol. 102, pp. 143-155, 2016.
[16]
T. Qu, M. Thürer, J. Wang, Z. Wang, H. Fu, C. Li and G. Q. & Huang, "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, vol. 55, no. 9, pp. 2622-2649, 2017.
[17]
M. N. Shafique, A. Rashid, I. S. Bajwa and R. Kazmi, "Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration," applied sciences, vol. 8, no. 12, p. 2481, 2018. https://doi.org/10.3390/app8122481
[18]
M. Oroojeni and M. Darvishi, "Green Supplier Selection for the Steel Industry Using BWM and Fuzzy TOPSIS: A case study of Khouzestan Steel Company," Journal Pre-proof, vol. 2, p. 100012. 2020. https://doi.org/10.1016/j.sftr.2020.100012.
[19]
C. N. Verdouw, J. Wolfert, A. J. M. Beulens and A. & Rialland, "Virtualization of food supply chains with the internet of things.," Journal of Food Engineering, vol. 176, pp. 128-136, 2015.
[20]
M. Mital, P. Choudhary, V. Chang, A. Papa and A. K. Pani, "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting & Social Change, In Press, 2017.
[21]
C. Edwards and J. Hopkins, "The Australian Supply Chain Tech Survey Results," SCLAA: Loganholme, Australia, 2018.
[22]
E. Borgia, "The Internet of Things vision: Key features, applications and open issues," Comput. Commun, vol. 54, pp. 1-31, 2014.
[23]
S. Greengard, "The Internet of Things. Cambridge," Cambridge, MA: MIT Press, 2015.
[24]
L. D. Xu, W. He and S. Li, "Internet of Things in Industries:A Survey," IEEE Transactions on Industrial Informatics , vol. 10, no. 4, pp. 2233-2243, 2014.
[25]
E. Manavalan and K. Jayakrishna, "A review of Internet of Things (IoT) embedded Sustainable Supply Chain for Industry 4.0 requirements," Computers & Industrial Engineering, vol. 127, pp. 925-953, 2018.
[26]
J. C. Ho, M. K. Shalishali, T.-L. (. Tseng and D. S. Ang, "OPPORTUNITIES IN GREEN SUPPLY CHAIN MANAGEMENT," The Coastal Business Journal, vol. 8, 2009. Available at: https://digitalcommons.coastal.edu/cbj/vol8/iss1/2
[27]
C. Ninlawan, P. Seksan, K. Tossapol and W. Pilada, " The Implementation of Green Supply Chain Management Practices in Electronics Industry," proceeding of the International MultiConference of Engineering and Computer Scientists, vol. 3, pp. 17-19, 2010.
[28]
A. A. Hervani, M. M. Helms and J. Sarkis, "Performance measurement for green supply chain management," Benchmarking: An International Journal, vol. 12, no. 4, pp. 330-353, 2005.
[29]
M. Ben-Dayaa, E. Hassinib and Z. Bahrouna, "Internet of things and supply chain management: a literature review," International Journal of Production Research, pp. 4719-4742, 2017.
[30]
B. Yan and G. Huang, "Supply chain information transmission based on RFID and internet of things," In Proceedings of the ISECS International Colloquium on Computing, Communication, Control, and Management, pp. 166-169, 2009.
[31]
Z. Pang, Q. Chen, W. Han and L. Zheng, "Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion," Inf. Syst. Front, vol. 17, pp. 289-319, 2015.
[32]
S. Chopra and P. Meindl, "Supply Chain Management: Strategy, Planning, and Operation.," Harlow: Pearson, 2013.
[33]
APICS, "Supply Chain Operations Reference Model, Revision 11.0," 2015.
[34]
S. Naskar, P. Basu and A. K. Sen, "A Literature Review of the Emerging Field of IoT Using RFID and Its Applications in Supply Chain Management," In The Internet of Things in the Modern Business Environment Advances in E-Business Research, pp. 1-27, 2017.
[35]
M. Tu, M. K. Lim and M. F. Yang, "IoT-based production logistics and supply chain system–Part 1: Modeling IoT-based manufacturing supply chain," Industrial Management & Data Systems, vol. 118, no. 1, pp. 65-95, 2018.
[36]
K. Leng, L. Jin, W. Shi and I. Van Nieuwenhuyse, "Research on agricultural products supply chain inspection system based on internet of things," Cluster Computing, pp. 1-9, 2018.
[37]
A. Rezaee, F. Dehghanian, B. Fahimnia and B. Beamon, "Green supply chain network design with stochastic demand and carbon price," Annals of Operations Research, vol. 250, no. 2, pp. 463-485, 2017.
[38]
M. Abdel-Basset, G. Manogaran and M. Mohamed, "Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems," Future Generation Computer Systems, vol. 86, pp. 614-628, 2018.
[39]
J. Li, A. Maiti, M. Springer and T. Gray, "Blockchain for supply chain quality management: challenges and opportunities in context of open manufacturing and industrial internet of things," International Journal of Computer Integrated, 2020.
[40]
S. Yadav, S. Luthr and D. Garg, "Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM," Operations Management Research, 2020.
[41]
B. F. Hobbs, S. A. Ludsin, R. L. Knight, P. A. Ryan and J. Biberhofer, "Fuzzy cognitive mapping as a tool to defifine management objectives for complex ecosystems," Ecological Applications, vol. 12, no. 5, pp. 1548-1565, 2002.
[42]
V. abbaszade Narmighi, S.Avakh Darestani, H. Soleimani, and R. Imannezhad, “Design and optimization of a waste management model in the sustainable supply chain in mining. Iranian Journal of Supply Chain Management,” vol. 22, pp. 67-82, 2021.
[43]
S. Dehghan Khavari, S. Derakhsh, “An Innovative Throughout Conceptual Model Framework for Logistics Integration” Iranian Journal of Supply Chain Management, vol. 23, 2021. (In Persian)