مدل چابک‌سازی زنجیره تأمین سازمان‌های پروژه محور (مطالعه موردی: قرارگاه سازندگی خاتم‌الانبیا(ص) )
محورهای موضوعی : مدیریت صنعتی گرایش زنجیره تأمینمحمد مردانی شهربابک 1 , میلاد کلهری 2
1 - دانشیار گروه مدیریت فناوری اطلاعات، دانشگاه جامع امام حسین (ع)، تهران، ایران
2 - دانش آموخته کارشناسی ارشد گروه مهندسی صنایع، دانشگاه جامع امام حسین (ع)، تهران، ایران
کلید واژه: مدیریت زنجیره تامین, سازمان پروژه محور, زنجیره تأمین چابک, قرارگاه سازندگی خاتم‌الانبیاء(ص),
چکیده مقاله :
زنجیره تأمین چابک توانایی فائق آمدن بر بازارهای پویا و چالش‌های محیطی را دارد. هدف این پژوهش چابک سازی زنجیره تأمین سازمان های پروژه محور است. پژوهش حاضر ازنظر هدف، کاربردی و ازنظر نحوه گردآوری داده‌ها، توصیفی-تحلیلی است. جامعه آماری شامل کارشناسان منتخب باسابقه قرارگاه سازندگی خاتم الانبیاء(ص) می‌باشد. نمونه آماری شامل پنج شرکت قرارگاه است که با روش نمونه‌گیری خوشه‌ای هدفمند انتخاب گردیدند. همچنین از سه پرسش نامه استفاده شده است. تأیید روایی پرسشنامه‌ها توسط 35نفر از خبرگان منتخب جامعه آماری انجام شده است. همچنین جهت بررسی پایایی پرسش نامه از ضریب آلفای کرونباخ، 841/0، 810/0 و 792/0 برای 3 پرسش نامه، به دست آمد. در فاز شناسایی اولیه ابعاد و مؤلفه‌های مؤثر در زنجیره تأمین چابک سازمان‌های پروژه محور، از پرسش نامه اول و برای شناسایی ابعاد و مؤلفه‌های نهایی، از پرسش نامه دوم استفاده‌شده است. در ادامه با بهره‌گیری از روش‌های تجزیه و تحلیل آمار استنباطی و نرم‌افزارهای SPSS و EXCEL، 32 مؤلفه (در 5 بعد) به‌عنوان مؤلفه‌های اصلی چابک سازی زنجیره تأمین سازمان‌های پروژه محور قطعی گردیدند. همچنین از فن دیمتل جهت تعیین روابط مؤلفه‌های احصا شده (بر اساس پرسش نامه سوم) بهره گرفته شد. نرم‌افزار Amos-18 برای برازش مدل به‌دست‌آمده و تحلیل مسیر استفاده شد. مؤلفه‌های منتخب در ابعاد شایستگی، سرعت، تاب‌آوری و فناوری اطلاعات دسته‌بندی شدند. پس از تعیین روابط این ابعاد با چابک سازی و با یکدیگر، مدل چابکی زنجیره تأمین با برازش خوب به دست آمد. نتایج پژوهش نشان می دهد ابعاد تاب‌آوری و فناوری اطلاعات و زیر مؤلفه‌هایشان، مؤثرترین مؤلفه‌ها در چابک سازی و ابعاد سرعت و شایستگی در مراتب بعدی قرار دارند.
An agile supply chain is capable of overcoming dynamic markets and environmental challenges. Therefore, the purpose of this applied descriptive-analytic research was to promote agility in project-based organizations’ supply chain. The research population consisted of a number of experienced experts at Khatam Al-Anbia construction sites from whom a purposeful clustered sample of experts from five sites were selected to participate in the study. The data collection instruments included three questionnaires the validity of which had been initially confirmed by 35 experts with acceptably high Cronbach's alpha coefficient of 0/841, 0/810, and 0/792, respectively. The first questionnaire was employed in the initial phase of the study to identify effective components in agile supply chain and the second questionnaire was employed to identify the final criteria. Further analyses of the data through inferential statistics, SPSS and EXCEL software underscored five major factors and 28 components of agility of supply chain. Next, the data obtained from the third quesitonnaire were analyzed via Demetel Technique to determine the criteria relationships in agility model with Amos-18 software used for model fitting and path analysis. The selected components were categorized into four dimensions of competency, speed, and resilience and information technology. Having delineated the interrelationships among these dimensions and with agility, we obtained a supply chain agility model for Khatam al-Anbia construction site with good fit. The findings indicated resilience and information technology and their sub-components as the most effective components in agility with speed and aptness coming next.
Abdi-Talarposhti, M. Mahmoudi, G. Jahani, M. A. (2017). Factors Affecting Agility Supply Chain in Iranian Hospitals. Journal of health Management, 19(64). [In Persian]
Agarwal, A. Shankar, R. & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211-225.
Aghaei, M. Khosravanian, H. Ghazayeri, A. (2014). Modeling Supply Chain Pattern and Agile Distribution with a Combined Approach to Classical Agility Concepts and Structural Interpretive Modeling: A Process View of Organizational Agility, case study:Distribution industry, Improve management journal, 20(7), 55-76. [In Persian]
Ali-ahmadi, A. Fekri, R. Fathian, M. (2017). Determining efficient Factors in Agiling of New Product Development Process Using Principal Component Analysis, case study: Iran Manufacturing Industries. Journal of Managing tomorrow, 21(8). [In Persian]
Anand, G. & Kodali, R. (2008). A conceptual framework for lean supply cha and its implementation. International Journal of Value Chain Management, 2(3), 313-357.
Angel M. & Manuela P. (2017) "Lean Indicators and Manufacturing Strategies", International Journal of Operations & Production Management, 5(5):465-478.
Arasteh, Kh. Zanjirchi, M. Mirnejad, S. A. (2014). Sustainable Agile Production Framework in the Tile Industry: case study: Yazd Tile Industry, Master thesis, Yazd University. [In Persian]
Azevedo, S. G. Carvalho, H. & Cruz-Machado, V. (2011). A proposal of LARG supply chain management practices and a performance measurement system. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(1), 7-14.
Babaei meybodi, H. rostapisheh, T. (2018) Investigating the Role of Agile Supply Chain Strategy on Improving the Performance of Food and Beverage Companies in Shiraz. Journal of Business Reviews, 84 & 85 (15), 37-48. [In Persian]
Balon, V. Sharma, A. K. & Barua, M. K. (2016). Assessment of barriers in green supply chain management using ISM: A case study of the automobile industry in India. Global Business Review, 17(1), 116-135.
Blanchard, D. (2010). Supply chain management best practices. John Wiley & Sons.
Braunscheidel, M. J. & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of operations Management, 27(2), 119-140.
Carvalho, H. & Azevedo, S. (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 Springer, Berlin, Heidelberg, 242, 953-968.
Carvalho, H. Azevedo, S. G. & Cruz-Machado, V. (2012). Agile and resilient approaches to supply chain management: influence on performance and competitiveness. Logistics research, 4(1-2), 49-62.
Carvalho, H. Duarte, S. & Cruz Machado, V. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, 2(2), 151-179.
Conforto, E. C. & Amaral, D. C. (2010). Evaluating an agile method for planning and controlling innovative projects. Project Management Journal, 41(2), 73-80.
Dastyar, H. Mohammadi, A. & Mohamadlou, M. A. (2018). Designing a Model for Supply Chain Agility (SCA) Indexes Using Interpretive Structural Modeling (ISM). In International Conference on Dynamics in Logistics, Springer, Cham, 58-66.
Dehghan, H. Abdoli-Bidhendi, R. Jahani, M. A. (2016). Studying the effects of supply chain agility on profitability using structural equation modeling approach, case study: Mammoth Company. Journal of managing tommorow, 45(13). [In Persian]
Dubey, R. Altay, N. Gunasekaran, A. Blome, C. Papadopoulos, T. & Childe, S. J. (2018). Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry. International Journal of Operations & Production Management, 38(1), 129-148.
Esmaeilian, G. Ramezani, Y. (2017). Providing Agile Supply Chain Model for Auto Parts Manufacturing Companies with Structural Interpretive Modeling Approach. Journal of Decision Engineering, 1(4), 95-125.
Ghorbanizadeh VA, Hurmanesh F, Gholamhoseini H. [The role of learning culture and knowledge management in organizational agility]. Journal of management studies in development and evaluation 2011; 21 (65): 47- 72. [In Persian] Available at: http://www.sid.ir/fa/VEWSSID/Jpdf/ 4004513906503.pdf
Farahimoghadam, A. Mohammadjafari, M. (2018). Investigating the Impact of Lean and Agile Supply Chain Strategies on Supply Chain Performance and Corporate Performance with the Intermediate Role of Information Systems in Mapna Development Company. Journal of Applied Research,8,109-122.
Fernando, Y. & Saththasivam, G. (2017). Green supply chain agility in EMS ISO 14001 manufacturing firms: empirical justification of social and environmental performance as an organisational outcome. International Journal of Procurement Management, 10(1), 51-69.
Jafarnejad, A. Shahaei, B. (2008). Introduction to organizational agility and agile production, Tehran: Mehraban nashr book institution. [In Persian]
Jain, P. & Gupta, N. (2016). Role of Agility in Green Supply Chain Management. International Journal of Science Technology and Management, 5(9), 482-488.
Jamali, Gh. Falah, M. 2018 Agility supply chain business supporting equipment for oil, gas and petrochemical industries. Journal of Business Management Research, 9 (17), 31-53. [In persian]
Karbasian, M. Javanmardi, M. Khobushani, A. Zanjirchi, S. M. (2012). Application of the ISM Model to Aggregate Supplier Selection Indicators and Supplier Ranking Using Fuzzy TOPSIS-AHP Method. Journal of Production and Operations Management, 1(2), 107-134. [In Persian]
Kazazi, A. Sohrabi, R. (2011). Providing Components and Evaluation Indicators of Iran National Oil Company Supply Chain Agility, case study: South Oil Company. Journal of Change Management, 4(2), 141-165. [In Persian]
Lee, D. (2011). The impact of supply chain innovation on organizational performance:An empirical study in the health care organization,11,676-694.
Lin, C. T. Chiu, H. & Chu, P. Y. (2006). Agility index in the supply chain. International Journal of production economics, 100(2), 285-299.
Meindl, S. C. P. (2016). Supply Chain Management-Strategy, Planning and Operation. Tsinghua University Press. Wheat soybean others land for no use.
Molavi, B. Esmaeilian, M. Ansari, R. (2012). Providing a Method for Prioritizing Organizational Agility Strategies Using TOPSIS Technique and Fuzzy Inference System. Journal of industrial management, 1(5), 123-138. [In Persian]
Salari, E. Shahraki, M. Sharifi, A. (2019). Modeling Agile Supply Chain Network by Forbidden Search Algorithm. Journal of Technology Growth, 58(15), 23-29. [In Persian]
Salehi Ghadyani, J. Ghasemzadeh, F. (2019). Prioritizing the Key Factors of Agile Supply Chain Success in the Dairy Industry by Structural Interpretive Modeling Approach. Journal of Development of human resources management and support, 47, 113-136. [In Persian]
Soni, G. & Kodali, R. (2009). Performance value analysis for the justification of the leagile supply chain. International Journal of Business Performance Management, 11(1-2), 96-133.
Swafford, P. M. Ghosh, S. & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288-297.
Tizro A, Adel A, Ahmadi R, Rafiei M. (2011), Modeling agility of supply chain case study: Zobahan Co]. Industrial management; 3(7): 17-36. [In Persian]
Van Hoek, R. (2005). Mitigating the minefield of pitfalls in creating the agile supply chain. In Proceedings of the international conference on agility–ICAM.
Wu, K.J.Tseng, M.L.Chiu, A.S.& Lim, M.K.(2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96-107.
Yoonesian Y. (2012), Design and deployment of tablet oriented portable organization with cloud computing support as mobile business management infrastructure the first telemedicine conference]. Tehran: Tehran's amirkabir university of technology. [In Persian]
Yusuf, Y. Y. Sarhadi, M. & Gunasekaran, A. (1999). Agile manufacturing: The drivers, concepts and attributes. International Journal of production economics, 62(1-2), 33-43.
Zain M, Rose RC, Abdullah I, Masrom M. (2005), The relationship between information technology acceptance and organizational agility in malysia, Information & Management; 42(6), 829–839.
_||_Abdi-Talarposhti, M. Mahmoudi, G. Jahani, M. A. (2017). Factors Affecting Agility Supply Chain in Iranian Hospitals. Journal of health Management, 19(64). [In Persian]
Agarwal, A. Shankar, R. & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211-225.
Aghaei, M. Khosravanian, H. Ghazayeri, A. (2014). Modeling Supply Chain Pattern and Agile Distribution with a Combined Approach to Classical Agility Concepts and Structural Interpretive Modeling: A Process View of Organizational Agility, case study:Distribution industry, Improve management journal, 20(7), 55-76. [In Persian]
Ali-ahmadi, A. Fekri, R. Fathian, M. (2017). Determining efficient Factors in Agiling of New Product Development Process Using Principal Component Analysis, case study: Iran Manufacturing Industries. Journal of Managing tomorrow, 21(8). [In Persian]
Anand, G. & Kodali, R. (2008). A conceptual framework for lean supply cha and its implementation. International Journal of Value Chain Management, 2(3), 313-357.
Angel M. & Manuela P. (2017) "Lean Indicators and Manufacturing Strategies", International Journal of Operations & Production Management, 5(5):465-478.
Arasteh, Kh. Zanjirchi, M. Mirnejad, S. A. (2014). Sustainable Agile Production Framework in the Tile Industry: case study: Yazd Tile Industry, Master thesis, Yazd University. [In Persian]
Azevedo, S. G. Carvalho, H. & Cruz-Machado, V. (2011). A proposal of LARG supply chain management practices and a performance measurement system. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(1), 7-14.
Babaei meybodi, H. rostapisheh, T. (2018) Investigating the Role of Agile Supply Chain Strategy on Improving the Performance of Food and Beverage Companies in Shiraz. Journal of Business Reviews, 84 & 85 (15), 37-48. [In Persian]
Balon, V. Sharma, A. K. & Barua, M. K. (2016). Assessment of barriers in green supply chain management using ISM: A case study of the automobile industry in India. Global Business Review, 17(1), 116-135.
Blanchard, D. (2010). Supply chain management best practices. John Wiley & Sons.
Braunscheidel, M. J. & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of operations Management, 27(2), 119-140.
Carvalho, H. & Azevedo, S. (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 Springer, Berlin, Heidelberg, 242, 953-968.
Carvalho, H. Azevedo, S. G. & Cruz-Machado, V. (2012). Agile and resilient approaches to supply chain management: influence on performance and competitiveness. Logistics research, 4(1-2), 49-62.
Carvalho, H. Duarte, S. & Cruz Machado, V. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, 2(2), 151-179.
Conforto, E. C. & Amaral, D. C. (2010). Evaluating an agile method for planning and controlling innovative projects. Project Management Journal, 41(2), 73-80.
Dastyar, H. Mohammadi, A. & Mohamadlou, M. A. (2018). Designing a Model for Supply Chain Agility (SCA) Indexes Using Interpretive Structural Modeling (ISM). In International Conference on Dynamics in Logistics, Springer, Cham, 58-66.
Dehghan, H. Abdoli-Bidhendi, R. Jahani, M. A. (2016). Studying the effects of supply chain agility on profitability using structural equation modeling approach, case study: Mammoth Company. Journal of managing tommorow, 45(13). [In Persian]
Dubey, R. Altay, N. Gunasekaran, A. Blome, C. Papadopoulos, T. & Childe, S. J. (2018). Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry. International Journal of Operations & Production Management, 38(1), 129-148.
Esmaeilian, G. Ramezani, Y. (2017). Providing Agile Supply Chain Model for Auto Parts Manufacturing Companies with Structural Interpretive Modeling Approach. Journal of Decision Engineering, 1(4), 95-125.
Ghorbanizadeh VA, Hurmanesh F, Gholamhoseini H. [The role of learning culture and knowledge management in organizational agility]. Journal of management studies in development and evaluation 2011; 21 (65): 47- 72. [In Persian] Available at: http://www.sid.ir/fa/VEWSSID/Jpdf/ 4004513906503.pdf
Farahimoghadam, A. Mohammadjafari, M. (2018). Investigating the Impact of Lean and Agile Supply Chain Strategies on Supply Chain Performance and Corporate Performance with the Intermediate Role of Information Systems in Mapna Development Company. Journal of Applied Research,8,109-122.
Fernando, Y. & Saththasivam, G. (2017). Green supply chain agility in EMS ISO 14001 manufacturing firms: empirical justification of social and environmental performance as an organisational outcome. International Journal of Procurement Management, 10(1), 51-69.
Jafarnejad, A. Shahaei, B. (2008). Introduction to organizational agility and agile production, Tehran: Mehraban nashr book institution. [In Persian]
Jain, P. & Gupta, N. (2016). Role of Agility in Green Supply Chain Management. International Journal of Science Technology and Management, 5(9), 482-488.
Jamali, Gh. Falah, M. 2018 Agility supply chain business supporting equipment for oil, gas and petrochemical industries. Journal of Business Management Research, 9 (17), 31-53. [In persian]
Karbasian, M. Javanmardi, M. Khobushani, A. Zanjirchi, S. M. (2012). Application of the ISM Model to Aggregate Supplier Selection Indicators and Supplier Ranking Using Fuzzy TOPSIS-AHP Method. Journal of Production and Operations Management, 1(2), 107-134. [In Persian]
Kazazi, A. Sohrabi, R. (2011). Providing Components and Evaluation Indicators of Iran National Oil Company Supply Chain Agility, case study: South Oil Company. Journal of Change Management, 4(2), 141-165. [In Persian]
Lee, D. (2011). The impact of supply chain innovation on organizational performance:An empirical study in the health care organization,11,676-694.
Lin, C. T. Chiu, H. & Chu, P. Y. (2006). Agility index in the supply chain. International Journal of production economics, 100(2), 285-299.
Meindl, S. C. P. (2016). Supply Chain Management-Strategy, Planning and Operation. Tsinghua University Press. Wheat soybean others land for no use.
Molavi, B. Esmaeilian, M. Ansari, R. (2012). Providing a Method for Prioritizing Organizational Agility Strategies Using TOPSIS Technique and Fuzzy Inference System. Journal of industrial management, 1(5), 123-138. [In Persian]
Salari, E. Shahraki, M. Sharifi, A. (2019). Modeling Agile Supply Chain Network by Forbidden Search Algorithm. Journal of Technology Growth, 58(15), 23-29. [In Persian]
Salehi Ghadyani, J. Ghasemzadeh, F. (2019). Prioritizing the Key Factors of Agile Supply Chain Success in the Dairy Industry by Structural Interpretive Modeling Approach. Journal of Development of human resources management and support, 47, 113-136. [In Persian]
Soni, G. & Kodali, R. (2009). Performance value analysis for the justification of the leagile supply chain. International Journal of Business Performance Management, 11(1-2), 96-133.
Swafford, P. M. Ghosh, S. & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288-297.
Tizro A, Adel A, Ahmadi R, Rafiei M. (2011), Modeling agility of supply chain case study: Zobahan Co]. Industrial management; 3(7): 17-36. [In Persian]
Van Hoek, R. (2005). Mitigating the minefield of pitfalls in creating the agile supply chain. In Proceedings of the international conference on agility–ICAM.
Wu, K.J.Tseng, M.L.Chiu, A.S.& Lim, M.K.(2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96-107.
Yoonesian Y. (2012), Design and deployment of tablet oriented portable organization with cloud computing support as mobile business management infrastructure the first telemedicine conference]. Tehran: Tehran's amirkabir university of technology. [In Persian]
Yusuf, Y. Y. Sarhadi, M. & Gunasekaran, A. (1999). Agile manufacturing: The drivers, concepts and attributes. International Journal of production economics, 62(1-2), 33-43.
Zain M, Rose RC, Abdullah I, Masrom M. (2005), The relationship between information technology acceptance and organizational agility in malysia, Information & Management; 42(6), 829–839.
