انتخاب تأمین کنندگان چابک در زنجیره تأمین محصولات آرایشی و بهداشتی با استفاده از ویکورفازی
الموضوعات :Nazanin Pilevari 1 , Elham Ataei Kchooei 2
1 - Assistant Professor of Industrial Management, Faculty of Management and Accounting, Yadegar Imam Khomeini branch, Islamic Azad University, Shahr-e Rey, Iran
2 - M.A in Technology Management, Faculty of Management and Accounting, Tehran Research and Science Branch, Islamic Azad University, Tehran, Iran
الکلمات المفتاحية: Supply Chain, Agile Supply Chain, Fuzzy VIKOR, زنجیره تأمین, زنجیره تأمین چابک, روش ویکور فازی (VIKOR),
ملخص المقالة :
در این تحقیق با توجه به اهمیت موضوع چابکی زنجیره تامین، به شناسایی و رتبه بندی تامین کنندگان بر اساس معیارهای چابکی پرداخته شده است. از این رو در گام اول با استفاده از ادبیات تحقیق و مطالعات صورت گرفته، تعداد زیادی معیار چابکی استخراج گردیده سپس با استفاده از روش دلفی فازی، نظرات خبرگان در مورد معیارهای شناسایی شده و معیارهای مورد نظر خبرگان تجمیع و در نهایت با استفاده از روش ویکور فازی، 5 تامین کننده یک شرکت توزیع کننده محصولات آرایشی و بهداشتی بر اساس معیارهای شناسایی شده رتبه بندی شده و نتایج زیردرمطالعۀ موردی حاصل گردیده است:1- تامین کننده شماره 2 بالاترین جایگاه را از آن خود نمود 2- به منظورحصول اطمینان وایجاد نتایج واقعی تردرانتخاب تامین کننده ای که دارای ویژگی های تامین چابک باشد لازمست از متدهایی که درروابط بین معیارهای ارزیابی و انتخاب بر وزن معیارها و رتبه بندی تأمین کنندگان موثرند استفاده شود.
1- Alev Taskin Gumus. (2009). Evaluation of hazardous waste transportation firms by using a two fuzzy-AHP and TOPSIS methodology, Expert Systems with Applications.36:4067– 4074.
2- Chou, S. Y., & Chang, Y. H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications. 34:2241–2253.
3- Christopher, Martin. (2004). Creating agile supply chain, Cranfield School of management.
4- DeBoer, L., Labro, E., &et al. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management. 30: 75-89.
5- Hu, Allen H. and Hsu, Chia-Wei. (2010). Critical factors for implementing green supply chain management practice: An empirical study of electrical and electronics industries in Taiwan, Management Research Review. 33:586-608.
6- Jassbi, J., Pilevari N., & et al. (2014). Role of Time in Agile Supply Chain, International Journal of Industrial Engineering & Production Research. 25: 115-124.
7- Kidd, P. (2000). Two definitions of agility, available at website address: http://www.cheshiire henbury.com.
8- Kumar, M., Vrat, P., & et al. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers and Industrial Engineering. 46: 69–85.
9- Lee, Amy H I. (2009) . A fuzzy supplier selection model with the consideration of benefits, Expert Systems with Applications, 2879–2893.
10- Li Guo-Dong, Yamaguchi Daisuke & Nagai Masatake. (2008). A grey-based rough decision-making approach to supplier selection.
11- Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega: The International Journal of Management Science. 30: 393 – 401.
12- Opricovic Serafim. (2008). A compromise solution in water resources planning. Water resource management.
13- Opricovic Serafim & Tzeng Gow-hshiung. (2007). Compromise solution by MCDM method: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156: 445–455.
14- Radfar, R., Pilevari, N., & et al.(2012).A pattern presentation to realize the effect of agility's factors on supply chain operation in automobile industry,(case study; Sapco Co. supply chain). Journal of Industrial Management Faculty of Humaities. 21,115-127.
15- Sayadi Mohammad Kazem; Heydari Majeed, & et al. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modeling. 33, 2257–2262.
_||_1- Alev Taskin Gumus. (2009). Evaluation of hazardous waste transportation firms by using a two fuzzy-AHP and TOPSIS methodology, Expert Systems with Applications.36:4067– 4074.
2- Chou, S. Y., & Chang, Y. H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications. 34:2241–2253.
3- Christopher, Martin. (2004). Creating agile supply chain, Cranfield School of management.
4- DeBoer, L., Labro, E., &et al. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management. 30: 75-89.
5- Hu, Allen H. and Hsu, Chia-Wei. (2010). Critical factors for implementing green supply chain management practice: An empirical study of electrical and electronics industries in Taiwan, Management Research Review. 33:586-608.
6- Jassbi, J., Pilevari N., & et al. (2014). Role of Time in Agile Supply Chain, International Journal of Industrial Engineering & Production Research. 25: 115-124.
7- Kidd, P. (2000). Two definitions of agility, available at website address: http://www.cheshiire henbury.com.
8- Kumar, M., Vrat, P., & et al. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers and Industrial Engineering. 46: 69–85.
9- Lee, Amy H I. (2009) . A fuzzy supplier selection model with the consideration of benefits, Expert Systems with Applications, 2879–2893.
10- Li Guo-Dong, Yamaguchi Daisuke & Nagai Masatake. (2008). A grey-based rough decision-making approach to supplier selection.
11- Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega: The International Journal of Management Science. 30: 393 – 401.
12- Opricovic Serafim. (2008). A compromise solution in water resources planning. Water resource management.
13- Opricovic Serafim & Tzeng Gow-hshiung. (2007). Compromise solution by MCDM method: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156: 445–455.
14- Radfar, R., Pilevari, N., & et al.(2012).A pattern presentation to realize the effect of agility's factors on supply chain operation in automobile industry,(case study; Sapco Co. supply chain). Journal of Industrial Management Faculty of Humaities. 21,115-127.
15- Sayadi Mohammad Kazem; Heydari Majeed, & et al. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modeling. 33, 2257–2262.
