ارائه مدل روابط علّی شاخص‌های زنجیره تأمین لارج با استفاده از روش دیمتل سلسله مراتبی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت صنعتی، دانشکده اقتصاد مدیریت و حسابداری، دانشگاه یزد، یزد، ایران

2 دانشیار، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران

3 گروه مهندسی کامپیوتر، دانشکده مهندسی کامپیوتر، دانشگاه یزد، یزد، ایران

چکیده

هدف: برای رقابت در محیط جهانی، استفاده هم‌زمان از چهار پارادایم ناب، چابک، تاب‌آور و سبز که هریک مزایایی را برای مدیریت زنجیره تأمین به‌همراه دارند، می‌تواند موجب دستیابی به مزیت رقابتی برای سازمان‌ها گردد. اما باید توجه داشت که به‌دلیل وجود اشتراکات و تضادهایی که این پارادایم‌ها با هم دارند، ادغام همزمان اقدامات(شاخص‌های) آنها در فرآیندهای زنجیره تأمین، چالش‌های مدیریتی قابل توجهی در این زمینه ایجاد خواهد کرد. هر چند این موضوع در برخی تحقیقات مورد توجه قرار گرفته است، اما همچنان شکاف های پژوهشی در آن قابل ردیابی است. لذا هدف پژوهش حاضر، تحلیل روابط علّی میان مجموعه شاخص‌ها به‌عنوان مبنایی جهت برنامه‌ریزی مناسب و بکارگیری مرحله به مرحله آنها می‌باشد.



روش‌شناسی پژوهش: پژوهش حاضر از نوع توصیفی- پیمایشی بوده و از نظر هدف نیز کاربردی می‌باشد. جامعه پژوهش، کارشناسان و مدیران صنعت فولاد آلیاژی ایران-یزد در بخش‌های مرتبط با پژوهش در سال 1401-1400 هستند که از این میان خبرگان پژوهش با استفاده از نمونه‌‌گیری هدفمند قضاوتی انتخاب شدند. ابزار گردآوری داده‌ها شامل دو پرسشنامه محقق‌ساخته است. پرسشنامه اول جهت تأیید شاخص‌ها و پرسشنامه دوم (پرسشنامه روش دیمتل سلسله‌مراتبی)، برای تعیین روابط علّی میان شاخص‌‌ها مورد استفاده قرار گرفت. برای بررسی روایی ابزار گردآوری داده‌ها نیز از شیوه روایی محتوا بهره‌گیری شد. جهت تکمیل پرسشنامه روش دیمتل‌سلسله مراتبی، از خبرگان خواسته شد تا جداول مقایسات را برای دسته‌ها و همچنین شاخص‌های هر دسته براساس شدت اثرگذاری هریک از عوامل، به صورت زوجی و براساس طیف لیکرت پنج‌تایی تعیین کنند. در ادامه جهت تحلیل داده‌ها از تکنیک دیمتل سلسله مراتبی استفاده شد که روشی جدید بوده و توسعه‌یافته دیمتل کلاسیک است. این تکنیک تعداد مقایسات زوجی در مسائل با تعداد عوامل زیاد را با درنظر گرفتن ساختار سلسله مراتبی میان آنها کاهش می‌دهد. در این تکنیک جداول مقایسات با یکدیگر تلفیق شده و سوپر ماتریس تأثیر مستقیم بدست آمده و مبنای تحلیل‌ها قرار می‌گیرد.



یافته‌ها: ابتدا شاخص‌های چهار پارادایم ناب، چابک، تاب‌آور و سبز از طریق مرور پیشینه پژوهش شناسایی شده و براساس دسته‌بندی انجام شده در تحقیقات پیشین، در 10 بُعد دسته‌بندی شدند. سپس روابط علّی میان این شاخص‌ها با استفاده از روش دیمتل سلسله‌مراتبی بررسی شد. از میان مجموعه شاخص‌ها، تعداد 18 شاخص در دسته علت‌ها و بقیه شاخص‌ها در دسته معلول‌ها قرار گرفتند. نتایج نشان می‌دهد که شاخص‌های بُعد دانش و تکنولوژی تأثیرگذارترین شاخص‌ها برای رسیدن به اجرای همزمان این چهار پارادایم هستند؛ که بیانگر توجه روزافزون و انکارناپذیر فرآیندهای سازمانی و تولیدی به دانش و تکنولوژی می‌باشد. براساس نتایج پژوهش، شاخص گنجاندن استراتژی در فناوری مهم‌ترین و همچنین تأثیرگذارترین شاخص بوده و رضایت مشتری تأثیرپذیرترین شاخص می‌باشد. از نظر اهمیت، پس از شاخص لحاظ کردن فناوری در استراتژی، شاخص مدیریت تأمین‌‌کنندگان و مشارکت با آنها در جایگاه دوم قرار می‌گیرد. از نظر تأثیرگذاری نیز شاخص فناوری اطلاعات سبز رتبه دوم را به خود اختصاص داده است؛ که این امر علاوه‌بر بیان اهمیت توجه به فناوری اطلاعات، اهمیت در نظر داشتن ملاحظات زیست‌محیطی را نیز نشان می‌دهد. رضایتمندی مشتری تأثیرپذیرترین شاخص درمجموعه شاخص‌های مربوط به زنجیره تأمین لارج بوده و از بسیاری از شاخص‌های دیگر تأثیر می‌پذیرد و از نظر اهمیت نیز در جایگاه هفتم قرار دارد. پس از آن ارائه محصولات جدید و کیفیت محصول در رتبه‌های بعدی تأثیرپذیری قرار دارند.



نتیجه‌گیری: تعیین روابط علّی میان شاخص‌های زنجیره تأمین لارج، به مدیران کمک می‌کند تا باتوجه به اشتراکات و تضادهایی که در اصول و عملکرد شاخص‌های این چهار پارادایم وجود دارد، منابع محدود مالی، زمانی و انسانی خود را به پیاده‌سازی شاخص‌های دارای اولویت اختصاص داده و برنامه‌ریزی مناسبی جهت پیاده‌سازی دیگر شاخص‌ها داشته باشند. همچنین استفاده از تکنیک جدید دیمتل سلسله‌مراتبی، موجب آشنایی بیشتر پژوهشگران با این روش، جهت تحلیل روابط علّی میان عوامل، در مسائل دارای عوامل زیاد می‌گردد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Presenting a causal relationship model of LARG supply chain indicators using the Hierarchical DEMATEL method

نویسندگان [English]

  • Khadijeh Mohammadi 1
  • Seyed Mahmood Zanjirchi 2
  • Leila Mohammadi 3
1 Department of industrial management, faculty of economic management and accounting, Yazd university, Yazd, Iran
2 Associate Professor, Department of Management Science, Yazd University, Yazd. Iran
3 Department of computer engineering. faculty of computer engineering. Yazd university. Yazd. Iran
چکیده [English]

Objectives: To compete in the global environment, the simultaneous use of four lean, agile, resilient, and green paradigms that each one has its advantages for supply chain management, can lead to competitive advantage for organizations. However, due to the shared and conflicting aspects of these paradigms, the simultaneous integration of their actions (indicators) in the supply chain processes will create considerable management challenges in this area. Although this issue has received attention in some studies, there are still research gaps that can be traced. Therefore, the aim of this study is to analyze the causal relationships between a set of indicators as a basis for appropriate planning and their phased implementation.

Methods: The present study is descriptive-survey and also practical in terms of purpose. The research community are experts and managers of the Iran-Yazd alloy steel industry in relevant research fields in the years 2021-2020, and among them, experts were selected by purposive judgmental sampling for this research.The data collection tool consists of two self-made questionnaires. The first questionnaire was used to confirm the indicators and the second questionnaire (hierarchical DEMATEL method questionnaire) was used to determine the causal relationships between the indicators. The content validity approach was also used to examine the validity of the data collection tool. To complete the hierarchical DEMATEL questionnaire, experts were asked to complete comparison tables for each category and also the indicators of each category based on the intensity of the effect of each factor, in pairs and based on a 5-point Likert scale. For data analysis, the hierarchical DEMATEL technique was used, which is an extended method of classic DEMATEL, that by considering the hierarchical structure among factors, it reduces the number of pairwise comparisons in problems with a large number of factors. In this technique, comparison tables are integrated and a super matrix of direct impact is obtained, which forms the basis of analyzes.

Results: At first, the lean, agile, resilient and green indicators were identified through a background review and were categorized based on the categories in previous researches. Then, the causal relationships between this indicators were investigated using the hierarchical DEMATEL method. The results show that the "knowledge and technology" dimension indicators were the most influential indicators and the "Comptency" dimension indicators were the most under influence indicators. Based on the research results, the "technology inclusion in strategy" indicator is the most important and influential indicator and "customer satisfaction" is the most under influence indicator. In terms of importance, after technology inclusion in strategy indicator, supplier management and collaboration with them indicator is ranked second. Also in terms of impact, the green information technology indicator has ranked second, which, in addition to emphasizing the importance of attention to information technology, also demonstrates the importance of considering environmental considerations. Customer satisfaction is the most influential indicator in the set of LARG supply chain indicators and be affected from many other indicators. It is also ranked seventh in terms of importance. After that, the presentation of new products and product quality, in terms of be affected from the others have subsequent ranks



Conclusions: Determining causal relationships between the indicators of the LARG supply chain helps managers allocate their limited financial, temporal, and human resources to implement high-priority indicators, taking into account the shares and conflicts present in the principles and performance of these four paradigms, and have proper planning to implement other indicators. Moreover, utilizing the new technique of DEMATEL hierarchy can lead to more familiarity among researchers with this method for analyzing causal relationships among factors in issues with multiple factors.

Keywords: Supply Chain Management Paradigms, LARG Supply Chains, Competitive Advantage Gaining, Hierarchical DEMATEL Method (H- DEMATEL), Determining Causal Relationships, Steel Industry

کلیدواژه‌ها [English]

  • Supply Chain Management Paradigms
  • LARG Supply Chains
  • Competitive Advantage Gaining
  • Hierarchical DEMATEL Method (H- DEMATEL)
  • Determining Causal Relationships
  • Steel Industry
ابویی‌مهریزی، ‌س.، شهبازی، ع.ا. (1399). ارزیابی بلوغ زنجیره تأمین لارج در شرکت سایپا یدک با استفاده از سیستم استنتاج فازی (FIS). نخبگان علوم و مهندسی، 24(5): 1-13.‎
اکبرزاده، ز.، صفایی قادیکلایی، ع. (1399). ارزیابی و تحلیل عملکرد- اهمیت اقدامات زنجیره تأمین لارج در صنایع لبنی (مورد مطالعه: شرکت لبنی کاله). مطالعات مدیریت صنعتی، 18(57): 145-174.‎
ایزدیار، م.، طلوعی اشلقی، ع.، سیدحسینی، س.م. (1399). مدل ارزیابی عملکرد پایداری شیوه‌های مدیریت زنجیره تأمین لارج در زنجیره تأمین خودروسازی با استفاده از پویایی سیستم. مدیریت صنعتی، 12(1): 111-142.‎
جمالی، غ.، کریمی اصل، ا. (۱۳۹۷). موقعیت رقابتی زنجیره تأمین لارج در صنعت سیمان و تحلیل اهمیت- عملکرد الزامات راهبردی مرتبط با آن. مطالعات مدیریت صنعتی، ۱۶(50): 53-77.
سپاسی زنگ‌آبادی، م.، مبینی، م.، نصرت‌پناه، س. (1399). بررسی و شناسایی ابعاد مدیریت زنجیره تأمین لارج در معاونت آماده و پشتیبانی نیروی انتظامی تهران بزرگ. علمی اندیشه آماد، 19(75): 41-64.
فلاح لاجیمی، ح.ر.، محمدی کانی، س.ز.، رسولی خطیر، ز. (1398). بکارگیری تابع ارزش خطی قطعه‌ای در رتبه‌بندی تأمین‌کنندگان لارج: رویکرد ترکیبی تصمیم‌گیری چندمعیاره. چشم‌انداز مدیریت صنعتی، 9(1): 115-140.‎
قاسمیه، ر.، جمالی، غ.ر.، کریمی اصل، ا. (1394). تحلیل ابعاد رویکرد زنجیره تأمین لارج در صنعت سیمان از طریق تلفیق تکنیک‌های تصمیم‌گیری چندمعیاره. مدیریت صنعتی، ۷(۴): ۸۱۳-۸۳۶.
قاضی‌زاده، م.، صفری، س.، نوروززاده، ف.، حیدری، ق. (1394). یکپارچه‌سازی رویکردهای مدیریت زنجیره تأمین در قالب زنجیره تأمین لارج با استفاده از تکنیک‌های تصمیم‌گیری چند شاخصه در شرکت سایپا. پژوهشنامه مدیریت اجرایی، 7(14): 113-134.‎
محمدنژاد چاری، ف.، صفائی قادیکلایی، ع. (1395). شناسایی و رتبه‌بندی معیارهای انتخاب تأمین‌کنندگان در زنجیره تأمین لارج (مطالعه موردی: صنایع غذایی و لبنی کاله). تحقیق در عملیات در کاربردهای آن، 13(4): 103-120.‎
محمدی، خ. (1394). ارائه مدلی تلفیقی برای پیاده‌سازی زنجیره تأمین ناب، چابک، انعطاف‌پذیر و سبز (لارج) با استفاده از رویکرد مدل‌سازی تفسیری ساختاری (مطالعه موردی: شرکت فولاد آلیاژی ایران-یزد). پایان‌نامه کارشناسی ارشد. گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد.
میری، م.، حسینی دهشیری، س.ج.، یوسفی هنومرور، ا. (1397). تعیین ترکیب بهینه استراتژی‌های زنجیره تأمین لارج
با بهره‌گیری از تحلیل SWOT، تفکنیک‌های تصمیم‌گیری چندمعیاره و تئوری بازی. مدیریت صنعتی، 10(2):
221-246.‎
Abbas, F.J., Nobanee, H., Khan, M. & Varas, J. (2018). The impact of practices in working capital management and supply chain management on corporate performance. International Journal of Business, 23(4): 383–399.
AboueiMehrizi, S. & Shahbazi, A. (2020). Evaluating the maturity of LARG supply chain in Saipa Yadak Company using fuzzy inference system. Journal of Science and Engineering Elites, 5(24): 1-13. [in persian]
Agarwal, A., Shankar, R. & Tiwari, M.K. (2007). Modeling agility of supply chain. Industrial marketing management, 36(4): 443-457.‏
Agyabeng-Mensah, Y., Afum, E. & Ahenkorah, E. (2020). Exploring financial performance and green logistics management practices: examining the mediating influences of market, environmental and social performances. Journal of Cleaner Production, 258: 120613.‏
Akbarzadeh, Z. & Safaei Qadiklaei, A. (2020). Evaluation and importance-performance analysis of LARG supply chain practices in dairy industries (Case study: Kalleh dairy company). Journal of Industrial Management Studies, 18(57): 145-174. [in persian]
Akbarzadeh, Z., Safaei Ghadikolaei, A.H., Madhoushi, M. & Aghajani, H. (2019). A hybrid fuzzy multi-criteria decision-making model based on fuzzy dematel with fuzzy analytical network process and interpretative structural model for prioritizing larg supply chain practices. International Journal of Engineering, 32(3): 413-423.
Amiri, M., Hosseini Dehshiri, S.J. & Yousefi Hanoomarvar, A. (2018). Determining the optimal combination of LARG supply chain strategies using SWOT analysis, multi-criteria decision-making techniques and game theory. Industrial Management Journal, 10(2): 221-246.
[in persian]
Amjad, M.S., Rafique, M.Z., Hussain, S. & Khan, M.A. (2020). A new vision of LARG Manufacturing-A trail towards Industry 4.0. CIRP Journal of Manufacturing Science and Technology, 31: 377-393.
Anand, G. & Kodali, R. (2008). A conceptual framework for lean supply chain and its implementation. International Journal of Value Chain Management, 2(3): 313-357.
Avelar-Sosa, L., Mataveli, M. & García-Alcaraz, J.L. (2018). Structural model to assess the relationship of manufacturing practices to delivery time in supply chains. The South African Journal of Industrial Engineering, 29(4): 218–229.
Azevedo, S.G., Carvalho, H. & Cruz-Machado, V. (2016). LARG index: A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain. Benchmarking: An International Journal, 23: 1472–1499.
Azevedo, S.G., Carvalho, H. & Machado, V.C. (2011). The influence of LARG supply chain management practices onmanufacturing supply chain performance. In: International conference on economics, business and marketing management (CEBMM), 11–13 March, Shanghai, China. Indexed by Thomson ISI and Ei Compendex: 1–6.
Azevedo, S.G., Machado, V.H., Barroso, A.P. & Cruz-Machado, V. (2008). Supply chain vulnerability: environment changes and dependencies. International journal of logistics and transport, 2(1): 41-55.‏
Behncke, F.G., Maisenbacher, S. & Maurer, M. (2014). Extended model for integrated value engineering. Procedia computer science, 28: 781-788.‏
Blackhurst, J., Craighead, C.W., Elkins, D. & Handfield, R.B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International journal of production research, 43(19): 4067-4081.‏
Bonavia, T. & Marin, J.A. (2006). An empirical study of lean production in the ceramic tile industry in Spain. International Journal of Operations & Production Management, 26(5):
505-531
Bozickovic, R., Radosevic, M., Cosic, I., Sokovic, M. & Rikalovic, A. (2012). Integration of Simulation and Lean Tools in Effective Production Systems – Case Study. Journal of Mechanical Engineering, 58(11): 642-652.‏
Cabral, I., Espadinha-Cruz, P., Grilo, A., Puga-Leal, R. & Cruz-Machado, V. (2011). Decision-making models for interoperable lean, agile, resilient and green supply chains. In: Proceedings of the International Symposium on the Analytic Hierarchy Process (pp. 1-6).‏ IEEE.
Cabral, I., Grilo, A. & Cruz-Machado, V. (2012). A decision-making model for lean, agile, resilient and green supply chain management. International Journal of Production Research, 50(17): 4830-4845.‏
Carvalho, H. & Machado, V.C. (2009). Lean, agile, resilient and green supply chain: a review. In: Proceedings of the Third International Conference on Management Science and Engineering Management (pp. 66-76). Chengdu: International Society of Management Science and Engineering Management.
Carvalho, H., Azevedo, S. & Cruz-Machado, V. (2014). Trade-offs among lean, agile, resilient and green paradigms in supply chain management: a case study approach. In: Proceedings of the seventh International Conference on Management Science and Engineering Management
(pp. 953-968). Springer, Berlin, Heidelberg.
Chia, A., Goh, M. & Hum, S. (2009). Performance measurement in supply chain entities: balanced scorecard perspective. Benchmarking: An International Journal, 16(5): 605-20.
Christopher, M. & Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2): 1-14.
Christopher, M. & Towill, D.R. (2000). Supply chain migration from lean and functional to agile and customised. Supply Chain Management: An International Journal, 5(4): 206-213.
Ciccullo, F., Pero, M., Caridi, M., Gosling, J. & Purvis, L. (2018). Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: a literature review and future research directions. Journal of Clean Production, 172: 2336-2350.
Dolgui, A., Ivanov, D. & Sokolov, B. (2020). Reconfigurable supply chain: The X-network. International Journal of Production Research, 58(13): 4138–4163.
Du, Y.W. & Li, X.X. (2021). Hierarchical DEMATEL method for complex systems. Expert Systems with Applications, 167: 113871.
Du, Y.W. & Shen, X.L. (2023). Group hierarchical DEMATEL method for reaching consensus. Computers & Industrial Engineering, 175: 108842.
Fallah Lajimi, H., Mohammadi Kani, Z. & Rasooli Khatir, Z. (2019). Applying of piecewise linear value functions in LARG suppliers ranking: multi-criteria decision-making mixed approach. Journal of Industrial Management Perspective, 9(1): 115-140. [in persian]
Fan, W., He, Y., Han, X. & Feng, Y. (2021). A new model to identify node importance in complex networks based on DEMATEL method. Scientific Reports, 11(1): 1-17.
Fricke, C. (2010). Lean management: Awareness, implementation status, and need for implementation support in Virginia’s wood industry. Doctoral dissertation, Virginia Tech.‏
Fullerton, R.R., Kennedy, F.A. & Widener, S.K. (2013). Management accounting and control practices in a lean manufacturing environment. Accounting, Organizations and Society, 38(1): 50-71.‏
Gabus, A. & Fontela, E. (1972). World Problems, An Invitation to Further Thought within The Framework of DEMATEL. Battelle Geneva Research Centre, Geneva, Switzerland,
Ghasemiyeh, R., Jamali, G. & Karimi Asl, E. (2016). Analysis of LARG supply chain management dimensions in cement industry (An integrated multi-criteria decision making approach). Journal of Industrial Management, 7(4): 813-836. [in persian]
Ghazizadeh, M., Safari, S., Nouruzzadeh, F. & Heidari, G. (2011). Integration of supply chain management approaches in the form of LARG supply chain using Multi Attribute Decision Making Techniques in Saipa company. Journal of executive management, 7(14): 113-134.
[in persian]
Ghosh, M. (2013). Lean manufacturing performance in Indian manufacturing plants. Journal of manufacturing technology management, 24(1): 113-122.
Ghufran, M., Khan, K. I.A., Ullah, F., Alaloul, W.S. & Musarat, M.A. (2022). Key Enablers of Resilient and Sustainable Construction Supply Chains: A Systems Thinking Approach. Sustainability, 14(19): 11815.
Gunawan, I. (2022). Customer loyalty: The Effect Customer Satisfaction, Experiential Marketing and Product Quality. KINERJA: Jurnal Manajemen Organisasi dan Industri, 1(1): 35-50.
Habibi Rad, M., Mojtahedi, M. & Ostwald, M.J. (2021). The integration of lean and resilience paradigms: A systematic review identifying current and future research directions. Sustainability, 13(16): 8893.
Heidary Dahooie, J., Hosseini Dehshiri, S.J., Banaitis, A. & Binkytė-Vėlienė, A. (2020). Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technological and Economic Development of Economy, 26(6): 1311-1338.‏
Heim, G.R. & Peng, D.X. (2010). The impact of information technology use on plant structure, practices, and performance: an exploratory study. Journal of Operations Management, 28(2): 144-162.‏
Hoek R.V. (2005). Mitigating the minefield of pitfalls in creating the agile supply chain. In: Andersin HE, Niemi E and Hirvonen V (eds) Proceedings of the international conference on agility – ICAM 2005, Helsinki University of Technology, Otaniemi, Finland.
Islam, M.S., Tseng, M.L., Karia, N. & Lee, C.H. (2018). Assessing green supply chain practices in Bangladesh using fuzzy importance and performance approach. Resources. Conservation and Recycling, 131: 134-145.
Izadyar, M., Toloie-Eshlaghy, A. & Seyed Hosseini, M. (2019). A model of sustainability performance assessment of LARG supply chain management practices in automotive supply chain using system dynamics. Industrial Management Journal, 12(1): 111-142. [in persian]
Jamali, G. & Karimi Asl, E. (2018). Competitive positioning for LARG supply chain in cement industry and its strategic requirements importance-performance analysis. Journal of Industrial Management Studies, 16(50): 53-77. [in persian]
Jasti, N.V.K. & Kodali, R. (2015). Lean production: Literature review and trends. International Journal of Production Research, 53(3): 867–885.
Kern, D., Moser, R., Hartmann, E. & Moder, M. (2012). Supply risk management: model development and empirical analysis. International Journal of Physical Distribution & Logistics Management, 42(1): 60–82.
Khan, S.A.R. & Qianli, D. (2017). Impact of green supply chain management practices on firms’ performance: an empirical study from the perspective of Pakistan. Environmental Science and Pollution Research, 24(20): 16829-16844.‏
Koç, E., Delibaş, M.B. & Anadol, Y. (2022). Environmental Uncertainties and Competitive Advantage: A Sequential Mediation Model of Supply Chain Integration and Supply Chain Agility. Sustainability, 14(14): 8928.
Koca, G. & Yıldırım, S. (2021). Bibliometric analysis of DEMATEL method. Decision Making: Applications in Management and Engineering, 4(1): 85-103.
Kumar Br, R., Sharma, M.K. & Agarwal, A. (2015). An experimental investigation of lean management in aviation. Journal of Manufacturing Technology Management, 26(2): 231-260.‏
Kushwaha, G.S. (2012). Operational performance through supply chain management practices. International Journal of Business and Social Science, 3(2): 222-232.
Kusmantini, T., Haryono, T., Untoro, W. & Setiawan, A.I. (2018). Strategic con-sensus between functions and the role of supply chain technology as moderator. Journal of Industrial Engineering and Management, 11(4): 735-748.
Lee, H.S., Tzeng, G.H., Yeih, W., Wang, Y.J. & Yang, S.C. (2013). Revised DEMATEL: resolving the infeasibility of DEMATEL. Applied Mathematical Modelling, 37(10-11): 6746-6757.
Lee, P.K., Yeung, A.C. & Cheng, T.E. (2009). Supplier alliances and environmental uncertainty: An empirical study. International Journal of Production Economics, 120(1): 190-204.‏
Lenort, R. & Wicher, P. (2012). Agile versus resilient supply chains: commonalities and differences. In: Carpathian logistics congress (pp. 1-6).
Lin, C.L. & Tzeng, G.H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert systems with applications, 36(6): 9683-9697.
Luthra, S., Garg, D. & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46(1): 37-50.‏
Maleki, M. & Cruz-Machado, V. (2013). Generic integration of lean, agile, resilient, and green practices in automotive supply chain. Review of International Comparative Management/Revista de Management Comparat International, 14(2).
Maleki, M., Shevtshenko, E. & Cruz-Machado, V. (2013). Development of supply chain integration model through application of analytic network process and bayesian network. International journal of integrated supply management, 8(1-3): 67-89.
Mathiyazhagan, K., Agarwal, V., Appolloni, A., Saikouk, T. & Gnanavelbabu, A. (2021). Integrating lean and agile practices for achieving global sustainability goals in Indian manufacturing industries. Technological Forecasting and Social Change, 171: 120982.‏
Meier, H. & Forrester, P. (2002). A model for evaluating the degree of leanness of manufacturing firms. Integrated Manufacturing Systems, 13(2): 104-109.
Mohammad Nejad Chari, F. & Safaie Ghadikalaii, A. (2016). Identification and ranking of selection criteria for suppliers in the supply chain (Case study: Kaleh food and dairy industry). The Journal of Operations Research in its Applications, 13(4): 120-103. [in persian]
Mohammadi, K. (2014). Representation an integrated model of lean, agile, resilient and green (LARG) supply chain based on ISM approach (case studt: Iran Alloy Steel Co-Yazd). Master's thesis. Department of industrial management. Faculty of Economics, Management & Accounting. Yazd University. [in persian]
Mohammadzadeh, M., Sobhanallahi, M. & Khamseh, A.A. (2020). Closed loop supply chain mathematical modeling considering lean agile resilient and green strategies. Croatian Operational Research Review, 11: 177-197.
Mohammed, A., Yazdani, M., Oukil, A. & Santibanez Gonzalez, E.D. (2021). A hybrid MCDM approach towards resilient sourcing. Sustainability, 13(5): 2695.
Muduli, K., Govindan, K., Barve, A., Kannan, D. & Geng, Y. (2013). Role of behavioural factors in green supply chain management implementation in Indian mining industries. Resources, conservation and recycling, 76: 50-60.‏
Naylor, J.B., Naim, M.M. & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of production economics, 62(1-2): 107-118.‏
Ninlawan, C., Seksan, P., Tossapol, K. & Pilada, W. (2010, March). The implementation of green supply chain management practices in electronics industry. In: World Congress on Engineering 2012. July 4-6, 2012. London, UK. (Vol. 2182, pp. 1563-1568). International Association of Engineers.‏
Parmar, P.S. & Desai, T.N. (2020). Evaluating Sustainable Lean Six Sigma enablers using fuzzy DEMATEL: A case of an Indian manufacturing organization. Journal of Cleaner Production, 265: 121802.
Pettit, T.J., Croxton, K.L. & Fiksel, J. (2013). Ensuring supply chain resilience: development and implementation of an assessment tool. Journal of business logistics, 34(1): 46-76.‏
Ponomarov, S.Y. & Holcomb, M.C. (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management, 20(1): 124-143.
Rachid, B., Roland, D., Sebastien, D. & Ivana, R. (2017). Risk management approach for lean, agile, resilient and green supply chain. International Journal of Economics and Management Engineering, 11(4): 802-810.‏
Rajesh, R. (2018). On sustainability, resilience, and the sustainable–resilient supply networks. Sustainable Production and Consumption, 15: 74-88.
Rasidi, N.A.S.A., Salleh, N.H.M. & Jeevan, J. (2017). Compatibility analysis of new lean, agile, resilience and green (LARG) paradigm for enhancing seaport supply chain practices. International Journal of e-Navigation and Maritime Economy, 13: 7-83.
Sahu, A.K., Raut, R.D., Gedam, V.V., Cheikhrouhou, N. & Sahu, A.K. (2022). Lean–agile–resilience–green practices adoption challenges in sustainable agri‐food supply chains. Business Strategy and the Environment.
Schoemaker, P.J., Heaton, S. & Teece, D. (2018). Innovation, dynamic capabilities, and leadership. California management review, 61(1): 15-42.
Sepasi Zangabadi, M., Mobini, M. & Nosratpanah, S. (2021). Investigating and identifying the dimensions of LARG supply chain management in the Deputy of logistics in Great Tehran Police Force. Logistics thought Scientific Publication, 19(75): 41-64. [in persian]
Sharifi, H. & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organisations: An introduction. International journal of production economics, 62(1-2): 7-22.‏
Sharma, V., Raut, R.D., Mangla, S.K., Narkhede, B.E., Luthra, S. & Gokhale, R. (2021). A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management. Business Strategy and the Environment, 30(2): 1191-1212.
Sheffi, Y. & Rice Jr, J.B. (2005). A supply chain view of the resilient enterprise. MIT Sloan management review, 47(1): 41.‏
Sheffi, Y. (2007). The resilient enterprise: overcoming vulnerability for competitive advantage. Cambridge, MA: MIT Press.
Shieh, J.I., Wu, H.H. & Huang, K.K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3): 277-282.
Slack, N. & Lewis, M. (2019). Operations strategy. Pearson Education, Limited, Harlow, United Kingdom.
Soetjipto, N., Sulastri, S., Prastyorini, J., Soedarmanto, S. & Riswanto, A. (2021). Implementation of enterprise human resources management standards to achieve supply chain excellence in fertilizer companies in Indonesia. Uncertain Supply Chain Management, 9(1): 107-114.‏
Sousa, J.C.D., Alves, M.B., Leocádio, L. & Rossato, J. (2020). Environmental management of LARG supply chain: A diagnostic instrument proposed for assessing suppliers.BBR. Brazilian Business Review, 16: 537-554.
Sun, C.C. (2022). Strategic Alliance Pattern Evaluation Model for Taiwan’s Machine Tool Industry: A Hierarchical DEMATEL Method. Mathematical Problems in Engineering. https://doi.org/10.1155/2022/5110327
Sundareswaran, R., Sangeetha, P., Shanmugapriya, M., Sheriff, M.T., Benasir, M., Thrisha, A.S. & Sathyaprakash, R. (2022). Assessment of structural cracks in buildings using single-valued neutrosophic DEMATEL model. Materials Today: Proceedings.
Taj, S. & Morosan, C. (2011). The impact of lean operations on the Chinese manufacturing performance. Journal of Manufacturing Technology Management, 22(2): 223–240.
Tripathy, S., Aich, S., Chakraborty, A. & Lee, G.M. (2016). Information technology is an enabling factor affecting supply chain performance in Indian SMEs: a structural equation modelling approach. Journal of Modelling in Management, 11(1): 269-287.
Unhelkar, B. & Lan, Y.C. (2011). Integrating green ICT in a supply chain management system. In: Green Technologies: Concepts, Methodologies, Tools and Applications (pp. 934-945). IGI Global.‏
Vanichchinchai, A. (2019). The effect of lean manufacturing on a supply chain relationship and performance. Sustainability, 11(20): 5751.
Vinodh, S., Ramiya, R.A. & Gautham, S.G. (2011). Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Systems with Applications, 38(1): 272-280.
Wangphanich, P., Kara, S. & Kayis, B. (2010). Analysis of the bullwhip effect in multi-product, multi-stage supply chain systems - A simulation approach. International Journal of Production Research, 48(15): 4501–4517.
Ward, P. & Zhou, H. (2006). Impact of information technology integration and lean/just‐in‐time practices on lead‐time performance. Decision Sciences, 37(2): 177-203.‏
Wu, H.H. & Chang, S.Y. (2015). A case study of using DEMATEL method to identify critical factors in green supply chain management. Applied Mathematics and Computation, 256:
394-403.‏
Yi, Y., Yang, Z. & Zhang, S. (2011). Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin. Environmental pollution, 159(10): 2575-2585.‏
Yusuf, Y.Y., Gunasekaran, A., Adeleye, E.O. & Sivayoganathan, K.J.E.J.O.O. R. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European journal of operational research, 159(2): 379-392.‏
Zhu, Q., Sarkis, J. & Lai, K.H. (2013). Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. Journal of Purchasing and Supply Management, 19(2): 106-117.‏
Zhu, Q., Sarkis, J., Cordeiro, J.J. & Lai, K.H. (2008). Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega, 36(4): 577-591.‏
Zidi, S., Hamani, N. & Kermad, L. (2021). New metrics for measuring supply chain reconfigurability. Journal of Intelligent Manufacturing, 33(8): 2371-2392.‏
Zsidisin, G.A. & Wagner, S.M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of business logistics, 31(2): 1-20.‏
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