طراحی سیستم خبره هوشمند برای شناسایی توان مندی‌های چندگانه زنجیره تامین پایدار

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران

2 استادیار،گروه مدیریت صنعتی ، واحد قزوین، دانشگاه آزاد اسلامی ، قزوین ، ایران.( نویسنده مسول ) آدرس : قزوین _خیابان دانشگاه - بلوار

چکیده

چکیده
بر پایه بررسی‌های انجام شده درباره پژوهش‌های پیشین، بیشتر مطالعات صورت گرفته درباره بررسی توانمندی‌های زنجیره تامین پایدار محدود به چند متغیر می باشد. در این مقاله ابتدا لیستی از توانمندی‌های زنجیره تامین پایدار حاصل از مرور پیشینه پژوهش تهیه شده، این شاخص ها با کمک پنل خبرگان پالایش می شوند تا شاخص های نهایی تهیه شود. برای شناسایی مولفه ها از تکنیک های دلفی فازی استفاده می کنیم.بر پایه خوشه بندی متغیر های تصمیم، در گام بعدی محدوده متغیرهای تصمیم گیری مشخص می شود. سپس با استفاده از تکنیک های کمی و فازی یک رویکردی تحلیل ها ارایه می شود. برای شبیه‌سازی و یکپارچگی سیستم‌های فازی طراحی شده از ابزار سیمولینک استفاده گردید. سطوح توامندی های اندازه گیری شده و در نهایت نتیجه گیری می شود. نتایج این تحقیق بیان نمود، چهارتوانمندی با اولویت شامل رقابتی‌پذیری، عملیاتی، تکنولوژی و تاب‌آوری می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Designing an intelligent expert system for identification of sustainable supply chain multi capabilities 

نویسندگان [English]

  • Sadegh Abedi 1
  • Valiollah Aslani Liaie 1
  • Reza Ehtesham Rasi 2
  • Alireza Irajpour 1
1 Assistant Professor, Department of Industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran    
2 Assistant Professor, Department of Industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran 
چکیده [English]

According to previous research reviews, most studies on the evaluation of sustainable supply chain capabilities are limited to statistical variables. Based on previous research reviews in this paper we prepare a list of capabilities of sustainable supply chain management, in cooperation with an expert team we short listed this capability. Data collection tools, questionnaires and interviews, and data analysis methods including fuzzy Delphi method, fuzzy expert system were used. Also, we applied some data from formal sites in data gathering steps. In order to clustering the variables, in next step we defined limitations of decision variables. Then by utilization of quantitative and fuzzy technique we presented an analytical approach. Simulink tool was used to simulate and integrate the designed fuzzy systems. Levels for sustainable supply chain capabilities are measured and at the end results delivered. The results shows that there are four competencies with high priority, including competitiveness, operational, technology and resilience. 
 

کلیدواژه‌ها [English]

  • Supply Chain
  • Sustainable Supply Chain
  • Quality Management of Supply Chain
  • Fuzzy Expert System
  • Fuzzy Delphi
  • Simulation
[1] Barbosaetal. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European Journal of Operational Research, (268), (2), 399-431.
[2] Minhao Zhang et al. (2018). Sustainable supply chain management: Confirmation of a higher-order model. Resources, Conservation and Recycling, (128), 206-221.
[3] Ebrahimpour Azbari Mostafa Et al. The Role of Customer Pressure and Innovativeness on Sustainable Supply Chain Management and Sustainable Competitive Advantage. Industrial Management studies, (15), (47), 121-150.
[4] A.A. Munny, et al. (2019). Enablers of social sustainability in the supply chain: An example of footwear industry from an emerging economy. Sustainable Production and Consumption, Volume (20), 230-242.
[5] Wang, F., X. Lai, and N. Shi, (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2),262-269.
[6] Meixell, M.J. and Luoma, P. (2015). Stakeholder pressure in sustainable supply chain management: A systematic review, International Journal of Physical Distribution & Logistics Management, Vol. 45 No. 1/2, pp. 69-89.
[7] Sancha, C., Longoni, A., Giménez, C. (2015). Sustainable supplier development practices: drivers and enablers in a global context. J. Purch. Supply Manage. 21 (2), 95–102.
[8] Deepak Mathivathanan, Kannan Govindan, A. Noorul Haq. (2018) Exploring the impact of dynamic capabilities on sustainable supply chain firm's performance using Grey-Analytical Hierarchy Process, Journal of Cleaner Production (147), 637-653.
[9] Xavier Brusset, Christoph Teller. (2017). Supply chain capabilities, risks, and resilience. International Journal of  Production Economics, (184), 59-68.
[10] Deepak Mathivathanan et al. (2017). Sustainable supply chain management practices in Indian automotive industry: A multi-stakeholder view. Resources Conservation and Recycling, vol (128), 284-305
[11] Ming K. Lim, Ming-Lang Tseng, Kim Hua Tan, Tat Dat Bui. (2017), Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach. Journal of Cleaner Production, (162), 806-816.
[12] Sadegh Abedi et al. (2014). How Assessment Technology Capabilities in Developing Countries: R&D Approach. International journal of current life sciences, (4), (11).10883-10891.
[13] Meng Chen, Hefu Liu, Shaobo Wei, Jibao Gu. (2018). Top managers' managerial ties, supply chain integration, and firm performance in China: A social capital perspective. Industrial Marketing Management, (74), 205-214.
[14] Vikas Kumara, Esinaulo Nwakama Chibuzob, Jose Arturo Garza-Reyesc, Archana Kumaria, Luis Rocha-Lonad, and Gabriela Citlalli Lopez-Torres. (2017). The Impact of Supply Chain Integration on Performance: Evidence from the UK Food Sector.  Procedia Manufacturing, (11), 814 – 821.
[15] Freshteh Kooshki and Elmira mashayekhi Nezamabadi, (1397). A Network Data envelopment analysis method for   assessment of supply chains and its application in pharmacology. journal of engineering and quality management, (8), 37-48.
[16] Frank Wiengarten, Paul Humphreys, Cristina Gimenez. (2016). Risk, risk management practices, and the success of supply chain integration.  International Journal of Production Economics (171), (3), 361-370.
[17] Gang Zhao, Taiwen Feng, Dan Wang. (2015). Is more supply chain integration always beneficial to financial performance? Industrial Marketing Management, (45), 162-172.
[18] Sadeghi, Amir. (1397). Designing an assessment model of service supply chain by using   neural network in order to improving quality and productivity of service (Case study: Home appliance industries of Iran). Journal of engineering and quality management, (3),182-202.
 [19] Honggeng Zhou, Ling Li, (2020) The impact of supply chain practices and quality management on firm performance: Evidence from China's small and medium manufacturing enterprises. International Production Economics, (230), 107816.
[20] Ali Bastas, Kapila Liyanage. (2019). Integrated quality and supply chain management business diagnostics for organizational sustainability improvement. Sustainable Production and Consumption. (17), 11-30.
 [21]Ana Cristina Fernandes, Paulo Sampaio, Maria Sameiro, Huy Quang Truong. (2017). Supply chain management and quality management integration: A conceptual model proposal. International Journal of
 
 
 
Quality & Reliability Management, (34),(1), 53 – 67.
[22] Baofeng Huo, Cheng Zhang, Xiande Zhao. (2015). The effect of IT and relationship commitment on supply chain coordination: A contingency and configuration approach. Information & Management,(52), (6), 728-740.
[23] Elham Tavasoli. (1396). Investigating the Role of Information Technology in Supply Chain Management. Management & Entrepreneurship studies, ( 2.2), 43 - 53.