اخبار و اعلانات

 آمار

تعداد نشریات34
تعداد شماره‌ها1,306
تعداد مقالات9,427
تعداد مشاهده مقاله9,188,347
تعداد دریافت فایل اصل مقاله5,620,769
زمانیان, الهه, صالحی, مجتبی. (1401). ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک مبتنی بر رویکرد SCOR و تکنیک اولویت‌بندی فازی. پدافند الکترونیکی و سایبری, 24(75), 75-85.
الهه زمانیان; مجتبی صالحی. "ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک مبتنی بر رویکرد SCOR و تکنیک اولویت‌بندی فازی". پدافند الکترونیکی و سایبری, 24, 75, 1401, 75-85.
زمانیان, الهه, صالحی, مجتبی. (1401). 'ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک مبتنی بر رویکرد SCOR و تکنیک اولویت‌بندی فازی', پدافند الکترونیکی و سایبری, 24(75), pp. 75-85.
زمانیان, الهه, صالحی, مجتبی. ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک مبتنی بر رویکرد SCOR و تکنیک اولویت‌بندی فازی. پدافند الکترونیکی و سایبری, 1401; 24(75): 75-85.

ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک مبتنی بر رویکرد SCOR و تکنیک اولویت‌بندی فازی

مدیریت زنجیره تأمین
دوره 24، شماره 75، آذر 1401، صفحه 75-85    اصل مقاله (579.42 K)
نوع مقاله: پژوهشی
نویسندگان
الهه زمانیان1؛ مجتبی صالحی* 2
1کارشناسی ارشد مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه پیام نور، تهران، ایران
2استادیار مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه پیام نور، تهران، ایران
تاریخ دریافت: 10 فروردین 1401،  تاریخ بازنگری: 20 تیر 1401،  تاریخ پذیرش: 20 تیر 1401 
چکیده
امروزه کارآمدی زنجیره تأمین پیش‌نیاز موفقیت بسیاری از بنگاه‌های اقتصادی است. در این میان، یکی از موضوعات مهم در مدیریت زنجیره تأمین، ارزیابی عملکرد است. هدف از پژوهش حاضر ارزیابی عملکرد زنجیره تأمین خدماتی با نگرش استراتژیک با استفاده از مدل مرجع عملیاتی زنجیره تأمین (SCOR) و روش اولویت‌بندی فازی است. در این تحقیق، از روش‌های نمونه‌گیری گلوله برفی و غیراحتمالی هدفمند و از نظرات 15 نفر از خبرگان شرکت اتکا، به‌عنوان نمونه استفاده شد. فرآیند انجام این پژوهش شامل سه مرحله شناسایی عوامل مؤثر در ارزیابی عملکرد زنجیره تأمین خدماتی مبتنی بر رویکرد SCOR، غربالگری عوامل شناسایی شده با استفاده از تکنیک دلفی فازی و اولویت‌بندی عوامل با استفاده از رویکرد فازی است که در مرحله اولویت‌بندی مقیاس‌های اندازه‌گیری از مدل بهینه‌سازی غیرخطی استفاده شد. نتایج نشان داد که معیارهای قابلیت اطمینان،‌ دارایی، چابکی، انعطاف‌پذیری، هزینه و پاسخگویی به ترتیب بالاترین اولویت را‏‏ در‏‏ ارزیابی‏‏ عملکرد‏‏،‏ به‏‏ خود‏‏ اختصاص‏‏ دادند.



کلیدواژه‌ها
زنجیره‏‏ تأمین‏‏ خدماتی؛ ‏‏ روش SCOR؛ تکنیک دلفی فازی
عنوان مقاله [English]
Evaluating the Performance of the Service Supply Chain from a Strategic Viewpoint Based on the SCOR Approach and the Fuzzy Prioritization Technique
نویسندگان [English]
Elaheh Zamanian1؛ Mojtaba Salehi2
1Payame Noor University،North Tehran Branch
2Payame Noor University North Tehran Branch
چکیده [English]
Today, the efficiency of the supply chain is a prerequisite for the success of many economic enterprises. Performance evaluation is also an important issue in the supply chain management. The purpose of the current research is to evaluate the performance of the service supply chain using the supply chain operational reference (SCOR) model and the fuzzy prioritization technique. In this research, samples are obtained through the purposeful and non-probability snowball sampling methods and the opinions of 15 Atka Company experts. The process of conducting this research includes three stages. The first stage is identifying the effective factors in performance evaluation of the service supply chain based on the SCOR approach. The second and third stages are screening the identified factors using the fuzzy Delphi technique and prioritizing the factors using the fuzzy approach. In the prioritization of the measurement scales the non-linear optimization model is used. The results show that in this performance evaluation, the criteria of reliability, property, agility, flexibility, cost and responsiveness achieve the highest priorities in descending order.
کلیدواژه‌ها [English]
Service Supply Chain, SCOR Method, Fuzzy Delphi Technique
مراجع
  • Chopra & P. Meindl, “Supply chain management. Strategy, planning & operation,” Das summa summarum des management, Springer, pp. 265-275, 2007.
  • Ozyazar, I. Yardimci, and O. Vayvay, “Lojistik ve Tedarik Zinciri Performans Ölçümü: Literatür Taramasi,” 2014.
  • Mirnejad, A. Pooya, & N. M. Farimani, “Designing a DEA Model for Evaluating Performance for Hierarchal Decision Making Units with Weighting Attribute in Hypermarket Departments,” 2019.
  • Najmi, M. R. Gholamian, & A. Makui, “Supply chain performance models: A literature review on approaches, techniques, and criteria,” J. Oper. Supply Chain Manag, vol. 6, no. 2, pp. 94-113, Dec. 2013.
  • Sabora, "Designing a supply chain performance evaluation model in dynamic wood industrial process company: with the approach of integrating the score model, balanced scorecard and hierarchical analysis process", Master's thesis, Faculty of Economic Sciences, Kharazmi University, 2015. (In Person)
  • Metin, "Evaluation of supply chain performance using supply chain operations reference model (SCOR)-Fuzzy TOPSIS (Case study: Saipa Automobile Company)", master's thesis, faculty of Islamic Azad University, Tehran branch Central, Faculty of Management, 2014. (In Person)
  • Hamid Shah Bandarzadeh, and Fatemeh Abadi, "Evaluation of supply chain performance with the supply chain operational reference model (SCOR) approach (Study case: Iran Marine Industries Company (Sadra)"), Business Reviews, vol. 79, sh. 14, p. 37-49, Mehr 2015. (In Person)
  • Leila Namdarian, and Taha Nejad Flatouri Moghadam, "Evaluation of supply chain performance with process and strategic approach using fuzzy logic", Industrial Management, Danesh Management, vol. 3, no. 6, pp. 149-170, 2011. (In Person)
  • Reza Hesari, "Development of green supply chain evaluation indicators according to the scor model (experimental evidence: North Khorasan Petrochemical Company)", Master's thesis, Ishraq Institute of Higher Education, University of Industrial Engineering, 2016. (In Person)
  • Stephens, “Supply chain council & supply chain operations reference (scor) model overview,” Supply Chain Counc., vol. 303, 2001.
  • Zahra Izanlou, Farzad Dehghanian & Hossein Karimi, "Evaluation of the supply chain based on the SCOR model - a case study of Kia Electrode Sharq Company", presented at the 15th International Conference on Industrial Engineering, 2017, vol. 15, p. 12. (In Person)
  • Zahra Izanlou, Farzad Dehghanian, & Hossein Karimi, "Evaluation of the supply chain based on the SCOR model - a case study of Kia Elektrode Sharq Company", presented at the 15th International Conference on Industrial Engineering, 2017, vol. 15, p. 12. (In Person)
  • Dariush Mohammadi Janaki, "Study of information sharing on performance evaluation and supply chain improvement using SFA and SCOR models under conditions of uncertainty", PhD thesis, Faculty of Kharazmi University, International Campus, 2017. (In Person)
  • Dariush Mohammadi Janki, "Study of information sharing on performance evaluation and supply chain improvement using SFA and SCOR models under conditions of uncertainty", PhD thesis, Faculty of Kharazmi University, International Campus, 2017. (In Person)
  • Afshin Yasmi, "Design and planning of the drug supply chain performance model based on the supply chain operation reference model (SCOR)", Master's thesis, Islamic Azad University, Bandar Abbas branch, Faculty of Humanities, 2018. (In Person)
  • Afshin Yasmi, "Design and planning of the drug supply chain performance model based on the supply chain operations reference model (SCOR)", Master's thesis, Islamic Azad University, Bandar Abbas branch, Faculty of Humanities, 2018. (In Person)
  • Effendi, C. Dewi, & S. Mustaniroh, “Evaluation of supply chain performance with green supply chain management approach (GSCM) using SCOR and DEMATEL method (case study of PG Krebet Baru Malang),” presented at the IOP Conference Series: Earth and Environmental Science, vol. 230, p. 12065, 2019.
  • Effendi, C. Dewi, & S. Mustaniroh, “Evaluation of supply chain performance with green supply chain management approach (GSCM) using SCOR and DEMATEL method (case study of PG Krebet Baru Malang),” presented at the IOP Conference Series: Earth and Environmental Science, vol. 230, p. 12065, 2019.
  • R. Lima-Junior, & L. C. R. Carpinetti, “An adaptive network-based fuzzy inference system to supply chain performance evaluation based on SCOR® metrics,” Comput. Ind. Eng., vol. 139, p. 106191, Jan. 2020.
  • R. Lima-Junior, & L. C. R. Carpinetti, “An adaptive network-based fuzzy inference system to supply chain performance evaluation based on SCOR® metrics,” Comput. Ind. Eng., vol. 139, p. 106191, Jan. 2020.
  • Büyüközkan, & G. Çifçi, “A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers,” Expert Syst. Appl., vol. 39, no. 3, pp. 3000-3011, 2012.
  • D. Guritno, R. Fujianti, & D. Kusumasari, “Assessment of the supply chain factors and classification of inventory management in suppliers’ level of fresh vegetables,” Agric. Agric. Sci. Procedia, vol. 3, no. 1, pp. 51-55, 2015.
  • Huang, “Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model,” Tour. Manag., vol. 65, pp. 303-316, 2018.
  • Liu, J. Xu, & M. Xu, “Green Construction Supply Chain Performance Evaluation Based on BSC-SCOR,” presented at the 2018 15th International Conference on Service Systems and Service Management (ICSSSM), pp. 1-6, 2018.
  • Anas, N. Sefiani, K. Reklaoui, & H. Azzouzi, “A SCOR based Performance evaluation system of the Hospital Supply chain,” presented at the 2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA), pp. 182-187, 2018.
  • Ayyildiz, & A. Taskin Gumus, “Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0,” Complex Intell. Syst., vol. 7, no. 1, pp. 559-576, 2021.
  • -L. Hsu, C.-H. Lee, & V. B. Kreng, “The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection,” Expert Syst. Appl., vol. 37, no. 1, pp. 419-425, Jan. 2010.
  • Yarian Tel Zali. Zeinab & Shams Eldini. Ismail, "Integration of Supply Chain", presented at the International Conference on New Researches in Management, Economics and Accounting, 2015. (In Person)
  • Mikhailov, & P. Tsvetinov, “Evaluation of services using a fuzzy analytic hierarchy process,” Appl. Soft Comput., vol. 5, no. 1, pp. 23-33, 2004.
آمار
تعداد مشاهده مقاله: 260
تعداد دریافت فایل اصل مقاله: 301