ارزیابی زنجیره تأمین لارج در صنایع خودروسازی با شناسایی شاخصها و رویکرد بهترین- بدترین فازی (FBWM) (مورد مطالعه: شرکت سایپا یدک)
محورهای موضوعی : مدیریت صنعتی گرایش زنجیره تأمینسینا ابویی مهریری 1 , محمدمهدی موحدی 2 , علیرضا رشیدی کمیجان 3
1 - دانشجوی دکتری گروه مدیریت صنعتی، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
2 - دانشیار گروه مدیریت صنعتی، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
3 - دانشیار گروه مهندسی صنایع، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
کلید واژه: صنایع خودروسازی, روش غربالگری فازی, تکنیک بهترین- بدترین فازی, زنجیره تأمین لارج,
چکیده مقاله :
هدف از انجام پژوهش حاضر شناسایی شاخصهای ارزیابی زنجیره تأمین لارج در شرکت سایپایدک به روش غربالگری فازی، وزندهی و اولویتبندی آنها با تکنیک بهترین– بدترین فازی است. جامعه و نمونه آماری پژوهش حاضر را 20 نفر از مدیران ارشد شرکت سایپا یدک که حداقل دارای ده سال سابقه اجرایی در بخش مدیریت زنجیره تأمین هستند، تشکیل میدهند. بدین منظور پس از مطالعه گسترده مبانی نظری ابعاد زنجیره تأمین لارج با نظر خبرگان و روش غربالگری فازی شناسایی شد. پس از غربالسازی شاخصها، پرسشنامه مقایسات زوجی طراحی و بین خبرگان توزیع شده، دادههای حاصل از پرسشنامهها با تکنیک بهترین–بدترین فازی، وزندهی و رتبهبندی گردید. نتایج حاصل نشان داد، بعد پاسخگویی مهمترین بعد زنجیره تأمین لارج و عملکرد زیستمحیطی رتبه دوم و سرعت، دانش و تکنولوژی؛ مشارکت و حمایت؛ مدیریت منابع انسانی؛ رابطه با تأمینکنندگان و مشتریان؛ شایستگی؛ انعطافپذیری و کنترل هزینهها و عملیات به ترتیب رتبههای سوم تا دهم را کسب نمودند. همچنین شاخصهای هر بعد نیز وزندهی و اولویتبندی گردید. نتایج این پژوهش مدیران صنایع خودروسازی را ارزیابی زنجیره تأمین لارج و انتخاب راهکارهای اثربخش در راستای کاهش ریسک زنجیره تأمین، پشتیبانی نموده و تصمیمسازی و تصمیمگیری را برای مدیران زنجیره تأمین در صنعت خودروسازی تسهیل نماید.
The current study was undertaken to identify evaluation indicators of LARG supply chain in Saipa Yadak Company initially through fuzzy screening and further to weight and prioritize them through fuzzy best-worst method. The research population comprised 20 senior managers at Saipa Yadak Company with at least 10 years of administrative experience within the supply chain management sector. The enquiry started with an extensive review of existing literature on the theoretical foundations and interviewing experts to identify indicators of LARG supply chain via fuzzy screening procedure. Having screened the indicators, we designed a paired comparison questionnaire which was piloted and distributed among the experts. The data obtained from the questionnaires were weighted and ranked using fuzzy best-worst method. The findings identified accountability, environmental function, speed of knowledge and technology, participation and support, human resource management, relation with suppliers and customers, competency, flexibility, and, cost and operation control as the most important indicator of the LARG supply chain, respectively. In addition, each indicator was weighted and prioritized to provide support for managers of at automotive industry through LARG supply chain evaluation and assist them in selecting effective solutions to reduce supply chain risks, and thereby, to facilitate decision making.
Azevedo, S. G., Carvalho, H., & Cruz-Machado, V (2011). “A proposal for the LARG supply chain management practices and performance measurement system”. international journal of e-education, e-business, e-management, and e-learning. 1(1), 7-14.
Farsijani, H. and Fallah Hosseini, A. (2012). Identifying and prioritizing effective factors in achieving supply chain management to get to the world class and providing the right solutions. Industrial Management Perspective Journal, 6, 25-44.[In Persian]
Azevedo, S.G., Govindan, K., Carvalho, H., et al. (2013). “An ecosilient index to assess the greenness and resilience of the upstream automotive supply chain”. Journal of Cleaner Production, 56, 131-146.
Azevedo, S.G., Carvalho, H., Duarte S. et al. (2012). “Influence of green and lean upstream supply chain management practices on business sustainability”. IEEE Transactions on Engineering Management. 59(4), 753-765.
Toloie, M. (2016). “The evaluation and ranking of suppliers based on two LARG integrated and sustainable approaches with a combined decision-making method (Case study: Sazeh Gostar Saipa Co.).” Master's Degree, Faculty of Social Sciences, Imam Khomeini International University. [In Persian]
Moamenzadeh, R., Pilehvari, N., and Asgari, M.R. (2017). Identifying the LARG index effect on the supply chain performance using the structural equations (Case study: Pars Khodro Co.). The 5th International Conference on Research Approaches in Humanities and Management. December 17th. [In Persian]
Ghazizadeh, M., Safari, S.; Norouzzadeh, F., and Heidari, A. (2015). ” Integrating the supply chain approaches in the form of LARG supply chain through using multi-criteria decision-making techniques in SAIPA Company”. Executive Management Research Journal, 7 (14), 113-134. [In Persian]
Benitez, R.R., López C., & C. Real, J (2017), "Environmental benefits of lean, green and resilient supply chain management: the case of the aerospace sector." Journal of Cleaner Production. 167, 850-862.
Carvalho, H., & Cruz-Machado, V (2011). Integrating Lean, Agile, Resilience and Green Paradigms in the Supply Chain Management (LARG SCM), Supply Chain Management, 27-48.
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.
Carvalho, H., Barroso, A., Machado, V., Azevedo, S. & Machado, C. (2012). Supply chain redesign for resilience using simulation. Computers & Industrial Engineering. 62(1), 329-341.
Carvalho, H, & Cruz-Machado, V (2009). "Lean, agile, resilient and green supply chain: A review". In: Proceedings of the Third International Conference on Management Science and Engineering Management. Bangkok, Thailand, 3-14.
Elkins, DA, Huang, N, Alden, J.M. (2004). "Agile manufacturing systems in the automotive industry". International Journal of Production Economics. 91 (3), 201-214
Macdonald, J. R., Zobel, C., Malnyk, A, & Griffin, S. (2018). "Supply chain risk and resilience: theory building through structures experiments and simulation". International Journal of Production Research. 56 (12), 4337-4355.
Cabrita, M.R., S. Duarte., Carvalho, H., & Cruz-Machado, V (2016). "Integration of Lean, Agile, Resilient and Green Paradigms in a Business Model, 49(12), 1306-1311.
Rajesh, R. (2016). "Forecasting supply chain resilience performance using gray prediction". Electronic Commerce Research and Applications. 20(c), 42-58.
Rezaei, J (2015). "Best -Worst multi-criteria decision-making method". Omega 53, 49-57. [In Persian]
Soni, U., Jain, V., & Kumar, S (2014). "Measuring supply chain resilience using a deterministic modeling approach". Computers & Industrial Engineering. 74, 11-25.
Ghasemiyeh, R., Jamali, Gh., and Karimi Asl, A. (2015). “Analysis of the dimensions of the LARG supply chain management approach in the cement industry by combining multi-criteria decision-making techniques”. Industrial Management. 7(4), 813-836. [In Persian]
Azevedoa, S.G., Govindanb, K., Carvalhoc, H., Cruz-Machado V (2012). "An integrated model to assess the leanness and agility of the automotive industry." Resources, Conservation and Recycling. 66, 85-94.
Anwari, A. (2016). “Designing and ranking of LARG paradigms in the competitive supply chain management”. Quarterly Journal of Industrial Management Islamic Azad University, Sanandaj Branch. 11 (38). 67-76. . [In Persian]
Mohammad Nejad Chari, F. and Safa'i Qadikla'ayi, A. (2016). “Identification and ranking of the suppliers’ selection criteria in the LARG supply chain (Case study: Kaleh Food and Dairy Industry). Operations Research Journal and its applications. 4 (51), 103-120. [In Persian]
Karimi Asl, A. (2015). Evaluation of the readiness of the cement industry in implementing LARG supply chain management. Master's thesis. Persian Gulf University, Bushehr. [In Persian]
Ravanestan, K., Aqajani, H., Safa'i Qadikla'ayi, A., and Yahyazadehfar, M. (2017). “Determining the strategies and resilience of Iran-Khodro supply chain. “Strategic Management Studies. 23(66), 35-56.
Azar, A. and Faraji, H. (2010). Fuzzy Management Science. Mehraban Publishing House, Tehran. [In Persian]
Feyzi, A. and Solokdar, A. (2014). Banking industry performance evaluation with the combined Balanced Scorecard - Fuzzy TOPSIS (FTOPSIS-BSC) approach. Financial Engineering and Securities Management Magazine. 20, 57-78. [In Persian]
Javan, M. (2017). Providing the best-worst-case decision-making criterion method in the fuzzy environment. Master's thesis. Eshraq Higher Education Institute. [In Persian]
Kazempour, A. (2016). Prioritizing the influential factors on the integration of lean, agile, resilient, and green supply chain patterns (Case study: Iran Khodro Mazandaran Co.). Master's thesis. Mazandaran University. [In Persian]
Karimi Qasem-Abad, S. (2016). Choosing suppliers in the resilient supply chain using Fuzzy Dematel technique (Case study: SAPCO Supply Chain). Master's thesis. Nima Higher Education Institution. [In Persian]
Mohammadi, Kh. (2015). Providing a combined model for implementation of the lean, agile, resilient, and green (LARG) supply chain using the structural interpretative modeling approach (Case study: Iran Alloy Steel Co., Yazd. Master's thesis. Yazd University. [In Persian]
_||_Azevedo, S. G., Carvalho, H., & Cruz-Machado, V (2011). “A proposal for the LARG supply chain management practices and performance measurement system”. international journal of e-education, e-business, e-management, and e-learning. 1(1), 7-14.
Farsijani, H. and Fallah Hosseini, A. (2012). Identifying and prioritizing effective factors in achieving supply chain management to get to the world class and providing the right solutions. Industrial Management Perspective Journal, 6, 25-44.[In Persian]
Azevedo, S.G., Govindan, K., Carvalho, H., et al. (2013). “An ecosilient index to assess the greenness and resilience of the upstream automotive supply chain”. Journal of Cleaner Production, 56, 131-146.
Azevedo, S.G., Carvalho, H., Duarte S. et al. (2012). “Influence of green and lean upstream supply chain management practices on business sustainability”. IEEE Transactions on Engineering Management. 59(4), 753-765.
Toloie, M. (2016). “The evaluation and ranking of suppliers based on two LARG integrated and sustainable approaches with a combined decision-making method (Case study: Sazeh Gostar Saipa Co.).” Master's Degree, Faculty of Social Sciences, Imam Khomeini International University. [In Persian]
Moamenzadeh, R., Pilehvari, N., and Asgari, M.R. (2017). Identifying the LARG index effect on the supply chain performance using the structural equations (Case study: Pars Khodro Co.). The 5th International Conference on Research Approaches in Humanities and Management. December 17th. [In Persian]
Ghazizadeh, M., Safari, S.; Norouzzadeh, F., and Heidari, A. (2015). ” Integrating the supply chain approaches in the form of LARG supply chain through using multi-criteria decision-making techniques in SAIPA Company”. Executive Management Research Journal, 7 (14), 113-134. [In Persian]
Benitez, R.R., López C., & C. Real, J (2017), "Environmental benefits of lean, green and resilient supply chain management: the case of the aerospace sector." Journal of Cleaner Production. 167, 850-862.
Carvalho, H., & Cruz-Machado, V (2011). Integrating Lean, Agile, Resilience and Green Paradigms in the Supply Chain Management (LARG SCM), Supply Chain Management, 27-48.
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.
Carvalho, H., Barroso, A., Machado, V., Azevedo, S. & Machado, C. (2012). Supply chain redesign for resilience using simulation. Computers & Industrial Engineering. 62(1), 329-341.
Carvalho, H, & Cruz-Machado, V (2009). "Lean, agile, resilient and green supply chain: A review". In: Proceedings of the Third International Conference on Management Science and Engineering Management. Bangkok, Thailand, 3-14.
Elkins, DA, Huang, N, Alden, J.M. (2004). "Agile manufacturing systems in the automotive industry". International Journal of Production Economics. 91 (3), 201-214
Macdonald, J. R., Zobel, C., Malnyk, A, & Griffin, S. (2018). "Supply chain risk and resilience: theory building through structures experiments and simulation". International Journal of Production Research. 56 (12), 4337-4355.
Cabrita, M.R., S. Duarte., Carvalho, H., & Cruz-Machado, V (2016). "Integration of Lean, Agile, Resilient and Green Paradigms in a Business Model, 49(12), 1306-1311.
Rajesh, R. (2016). "Forecasting supply chain resilience performance using gray prediction". Electronic Commerce Research and Applications. 20(c), 42-58.
Rezaei, J (2015). "Best -Worst multi-criteria decision-making method". Omega 53, 49-57. [In Persian]
Soni, U., Jain, V., & Kumar, S (2014). "Measuring supply chain resilience using a deterministic modeling approach". Computers & Industrial Engineering. 74, 11-25.
Ghasemiyeh, R., Jamali, Gh., and Karimi Asl, A. (2015). “Analysis of the dimensions of the LARG supply chain management approach in the cement industry by combining multi-criteria decision-making techniques”. Industrial Management. 7(4), 813-836. [In Persian]
Azevedoa, S.G., Govindanb, K., Carvalhoc, H., Cruz-Machado V (2012). "An integrated model to assess the leanness and agility of the automotive industry." Resources, Conservation and Recycling. 66, 85-94.
Anwari, A. (2016). “Designing and ranking of LARG paradigms in the competitive supply chain management”. Quarterly Journal of Industrial Management Islamic Azad University, Sanandaj Branch. 11 (38). 67-76. . [In Persian]
Mohammad Nejad Chari, F. and Safa'i Qadikla'ayi, A. (2016). “Identification and ranking of the suppliers’ selection criteria in the LARG supply chain (Case study: Kaleh Food and Dairy Industry). Operations Research Journal and its applications. 4 (51), 103-120. [In Persian]
Karimi Asl, A. (2015). Evaluation of the readiness of the cement industry in implementing LARG supply chain management. Master's thesis. Persian Gulf University, Bushehr. [In Persian]
Ravanestan, K., Aqajani, H., Safa'i Qadikla'ayi, A., and Yahyazadehfar, M. (2017). “Determining the strategies and resilience of Iran-Khodro supply chain. “Strategic Management Studies. 23(66), 35-56.
Azar, A. and Faraji, H. (2010). Fuzzy Management Science. Mehraban Publishing House, Tehran. [In Persian]
Feyzi, A. and Solokdar, A. (2014). Banking industry performance evaluation with the combined Balanced Scorecard - Fuzzy TOPSIS (FTOPSIS-BSC) approach. Financial Engineering and Securities Management Magazine. 20, 57-78. [In Persian]
Javan, M. (2017). Providing the best-worst-case decision-making criterion method in the fuzzy environment. Master's thesis. Eshraq Higher Education Institute. [In Persian]
Kazempour, A. (2016). Prioritizing the influential factors on the integration of lean, agile, resilient, and green supply chain patterns (Case study: Iran Khodro Mazandaran Co.). Master's thesis. Mazandaran University. [In Persian]
Karimi Qasem-Abad, S. (2016). Choosing suppliers in the resilient supply chain using Fuzzy Dematel technique (Case study: SAPCO Supply Chain). Master's thesis. Nima Higher Education Institution. [In Persian]
Mohammadi, Kh. (2015). Providing a combined model for implementation of the lean, agile, resilient, and green (LARG) supply chain using the structural interpretative modeling approach (Case study: Iran Alloy Steel Co., Yazd. Master's thesis. Yazd University. [In Persian]