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  • هوشمند سازی زنجیره تامین با رویکرد اینترنت اشیا (مطالعه موردی: شرکت های فعال در حوزه فناوری اطلاعات و ارتباطات استان تهران)

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کد مقاله : IMJ-2108-1685 (R1) بازدید : 153 صفحه: 14 - 29

10.30495/imj.2022.688461

نوع مقاله: پژوهشی

هوشمند سازی زنجیره تامین با رویکرد اینترنت اشیا (مطالعه موردی: شرکت های فعال در حوزه فناوری اطلاعات و ارتباطات استان تهران)

محورهای موضوعی : مدیریت صنعتی

shiva rashidi torbati 1 (Department of Information Technology Management, Faculty of Management, Islamic Azad University, Central Tehran Branch Tehran Iran)
reza radfar 2 (Technology Management, Islamic Azad University Science and Research Branch, Tehran, Iran,)
nazanin pilevari 3 (Assistant Professor, Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran.)

تاریخ دریافت : 1400/06/07 تاریخ پذیرش : 1400/08/08 تاریخ انتشار : 1400/11/05

کلید واژه: مدیریت زنجیره تامین, زنجیره تامین, فناوری اینترنت اشیا, فناوری اطلاعات استان تهران,

چکیده مقاله :

هدف این تحقیق هوشمند سازی زنجیره تامین با رویکرد اینترنت اشیا در شرکت های فعال در حوزه فناوری اطلاعات و ارتباطات استان تهران است. تحقیق حاضر جزء تحقیقات کاربردی بوده و از نظر فرایند انجام کار، پژوهشی توصیفی- پیمایشی از نوع اکتشافی است. جامعه آماری مورد نظر را خبرگان (مدیران و کارشناسان و اساتید مسلط به موضوع پژوهش) تشکیل دادند که با روش غیر تصادفی و هدفمند تا اشباع نظری مصاحبه با آنها صورت پذیرفته و نمونه آماری با روش گلوله برفی تعیین گردید. در این پژوهش از دو پرسش نامه باز و محقق ساخته به منظور جمع آوری داده های استفاده شده که امتیاز بندی پرسشنامه دوم براساس طیف 5 گزینه ای لیکرت طراحی شده است. برای بررسی روایی از نظرات خبرگان استفاده شد و پایایی با آلفای کرونباخ محاسبه شد که برابر با 79/0 بود و نشان دهنده پایایی مناسب ابزار می باشد. جهت تجزیه و تحلیل داده ها از سوات و مدل سازی پویایی سیستم استفاده شد.کلیه تجزیه و تحلیل ها با نرم افزار ونیسم انجام گرفته است. از طریق مدل سازی و شبیه سازی عوامل مـؤثر بـر مدیریت زنجیره تامین و با توجه به عوامل، نحوة تأثیر این عوامل بر هـم و چگـونگی ارتبـاط آنها تبین شده و دو سناریو نیز تدوین شد که توجه به بازده زمانی بلند مدت می تواند باعث کارایی مدیریت زنجیره تامین گردد. نتایج نشان داد استفاده از فناوری اینترنت اشیا باعث خواهد شد تا سرعت سازگاری و انطباق پذیری محیطی زنجیره تامین شرکت های مورد بررسی افزایش یابد.

چکیده انگلیسی:

The aim of this study was to make the supply chain smarter with the IoT approach in companies active in the field of information and communication technology in Tehran province.Methods: The present study is part of applied research according to the goals it pursues and is a descriptive and exploratory research in terms of the work process. The statistical population is experts familiar with the subject of research (managers, experts and professors). They were interviewed by non-random and purposeful method until theoretical saturation. The statistical sample was determined by snowball method. In this study, two open-ended and researcher-made questionnaires were collected to collect the data needed to measure And measurements of the studied variables have been used. How to score the second questionnaire is designed based on the Likert 5-choice range. Experts' opinions were used to check the validity and the reliability was calculated with Cronbach's alpha and was equal to 0.79, which indicates the appropriate reliability of the instrument. Swat and system dynamics modeling were used to analyze the data. All analyzes were performed with Venism software.Results: The results showed that through modeling and simulation of factors affecting supply chain management and according to the factors, the effect of these factors on each other and how they relate is shown that two scenarios were developed that pay attention to time efficiency. Long-term can make supply chain management more efficient.

منابع و مأخذ:


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_||_

  1. Afshari, H; Amir Hoshang, T., Qaisari, M. (2017). A Study of Internet Applications of Objects in Supply Chain. 1st National Conference on Information and Communication Technology Advances and Opportunities. (In Persian).
    2.
  2. Chithambaranathan, P., Subramanian, N., Gunasekaran, A. and Palaniappan, P.K. (2015). Service Supply Chain Environmental Performance Evaluation Using Grey Based Hybrid Mcdm Approach. J. Prod. Econ, 166, 163–176.
    3.
  3. Choi, B.H., Kim, S., Do Noh. (2014). A diagnosis and evaluation method for strategic planning and systematic design of a virtual factory in smart manufacturing systems. J. Precis. Eng. Manuf., 16 (22) 1107–1115.
    4.
  4. Chupani, S., Karimi, G. (2020). Investigating the Impact of IoT on Supply Chain Performance and Product Tracking, The First Conference on Industrial Engineering, Economics and Management. (In Persian).
    5.
  5. Fang, X., Liu, P.M., Pardalos, J., Pei. (2016). Optimization for a three-stage production system in the Internet of Things: Procurement, production and product recovery, and acquisition. J. Adv. Manuf. Technol., 83 (3) 689–710.
    6.
  6. Fayyazi, Z., Sabbaghzadeh, F. (2017). Investigating the Impact of Internet of Things on Supply Chain Management of Businesses. The 5th National Conference on Applied Research in Management and Accounting, Tehran, Iran Management Association, (in persian).
    7.
  7. Ghazanfari, M , , Fathollah,M (2005); A Comprehensive Approach to Supply Chain Management, Tehran: University of Science and Technology. (In Persian).
    8.
  8. Jie, N. Subramanian, K. Ning, D. Edwards, (2015).Product delivery service provider selection and customer satisfaction in the era of internet of things: A Chinese e-retailers’ perspective, Int. J. Prod. Econ. 159 (4) 104–116.
    9.
  9. Leung, J., Cheung, W., & Chu, S. C. (2014). Aligning RFID applications with supply chain strategies. Information & Management, 51(2), 260-269.
    10.
  10. Mehregan, M. (2014). Supply chain management. Tehran: Position. (In Persian).
    11.
  11. Mohammadian, R., Rezaian, J., Shirazi, B. (2020). Ranking Agile and Green Supply Chain Factors in Electronic Business: Considering the Application of IoT Technology. The 2nd International Conference on Challenges and New Solutions in Industrial Engineering and Management and Accounting, Damghan, (in Persian).
    12.
  12. Ng, I. C., & Wakenshaw, S. Y. (2017). The Internet-of-Things: Review and research directions. International Journal of Research in Marketing, 34(1), 3-21.
    13.
  13. Nowruzian, Nisa and Khati, Samaneh. (2018). The Role of Information Technology and IoT in Improving the Green Supply Chain Process. 3rd International Conference on Dynamic Management, Accounting and Auditing, Tehran, Salehan University. (in persian).
    14.
  14. Pahlavani, N. (2018). Investigating the Impact of IoT on Sustainable Supply Chain. (M.A Thesis). Shahid Beheshti University. Faculty of Management and Accounting. (In Persian).
    15.
  15. Paksoy, İ., Karaoğlan, H., Gökçen, P.M., Pardalos, Torğul, B.(2016). An experimental research on closed loop supply chain management with internet of things. J. Bibliograph., 3 (4) 1–20
    16.
  16. Quang, P. Sampaio, M.S. Carvalho, A.C. Fernandes, D.T. Binh An, E. Vilhenac. (2016) An extensive structural model of supply chain quality management and firm performance, Int. Qual. Reliab. Manage., 33 (7) 444–464.
    17.
  17. Shahraki, M., Jafari, R. (2017). Application of IoT technology in supply chain management. 3rd National Conference on Computer Engineering, Information Technology and Data Processing, Tehran, Payame Noor University, (in persian).
    18.
  18. Shih, C. W., & Wang, C. H. (2016). Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industries. Computer Standards & Interfaces, 45, 62-78.
    19.
  19. Wang, T., Zhang, Y. F., & Zang, D. X. (2016). Real-time visibility and traceability framework for discrete manufacturing shopfloor. In Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 (pp. 763-772). Atlantis Press, Paris.
    20.
  20. Wolf, J. (2011). Sustainable supply chain management integration: a qualitative analysis of the German manufacturing industry. Journal of Business Ethics, 102(2), 221-235.
    21.
  21. Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016). Smart supply chain management: a review and implications for future research. The International Journal of Logistics Management, 27 (5) 395–417.
    22.
  22. Li, B., Yang, C., & Huang, S. (2014). Study on supply chain disruption management under service level dependent demand. Journal of Networks, 9(6), 1432.
    23.
  23. Zhou, Keliang, Taigang, Liu, and Lifeng, Zhou. (2020). Industry 4.0:  Towards future industrial opportunities and challenges. Paper presented at 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, China, August 15–17.
    24.

 

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