Education systems in the world are enduring COVID-19 induced perturbations and consequences. Given the growing use of E-learning during COVID-19 epidemic and expansion of Internet-based infrastructure, the need for a resilient approach to e-learning systems is deeply felt. This paper aims to address the issue of how to provide a model for evaluating the resilience of E-learning in Iranian virtual universities during the outbreak of coronavirus employing an Adaptive Neuro-Based Fuzzy Inference System (ANFIS). In the present paper, 5 substantial factors including individual, assessment and support, content, agility, and technology were identified as inputs, and e-learning resilience was considered as single output. Moreover, ANFIS was employed to model the resilience of E-learning systems. Findings revealed almost medium to low degree of resilience for the e-learning system established in Iran’s virtual university. Statistical analysis demonstrated that there was no meaningful difference between experts’ opinions and our proposed procedure for E-learning resilience measurement. The proposed model showed significant sensitivity to changes in agility. Therefore, agility should be considered as the first priority in achieving the desired level of resilience for the e-learning systems of the Iranian virtual university. Manuscript profile

The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability indicators. In this research, the proposed model was used for evaluating the sustainability in four pillars which is more inclusive than previous research. To improve the sustainability, it must be evaluated and measured so that after the improvement measures, the results are determined through measurement. According to the findings, it was concluded that the model designed in CANFIS was a reliable tool for assessing the sustainability. Manuscript profile

The automotive industry, as a job-creating and infrastructure industry, needs an executive model for success in the domestic and international markets. In this regard, the present study has been conducted with the aim of designing a model for implementing the fourth generation industry to achieve sustainable development goals in Iran Khodro Company. The study is an applied-developmental study in terms of purpose and cross-sectional survey research. Also, in this study, a mixed research method (qualitative-quantitative) was used. Content analysis method and MaxQDA software were used for data analysis in the qualitative section. Then, using Interpretive Structural Modeling (ISM) with MICMAC software, the initial pattern was drawn. In the quantitative section, one-sample t-test and SPSS software were used to measure the current situation. The research findings showed that the Collection and Analysis of Big Data affects the Simulation and Automatic Robots. These factors affect horizontally and vertically integration systems and thus lead to the Internet of Industrial Things, Augmented Reality and Cyber Security. Further, through the Cloud Computing system, Additive Manufacturing is affected and this Additive Manufacturing leads to Sustainable Development. Manuscript profile

هدف تحقیق حاضر، ارائه الگویی جهت ارزیابی تأثیر تکنولوژی بلاکچین بر عملکرد زنجیره تأمین در صنعت خودرو با استفاده از طراحی سیستم استنتاج فازی است. این پژوهش ازنظر هدف کاربردی است. جامعه آماری مورد مطالعه در این تحقیق، مدیران 3 شرکت خودروسازی در ایران شامل شرکت ایران‌خودرو، سایپا، مدیران خودرو است که حجم نمونه آماری تعداد 36 نفر به ترکیبی از دو روش نمونه‌گیری غیراحتمالی هدفمند (قضاوتی) و نمونه‌گیری گلوله برفی انتخاب شدند. در این تحقیق با استفاده از مطالعات کتابخانه‌ای و میدانی عامل‌ها و زیر عامل‌های تحقیق انتخاب گردیده که پس از مطالعات کتابخانه‌ای 17 زیر معیار در 3 معیار اصلی تضعیف‌کننده، تقویت‌کننده و امکان‌پذیری به‌صورت مدل مفهومی مشخص گردید که پس از فازی‌سازی گوسین 125 قاعده بر اساس نظر خبرگان تعیین‌ شده است. براساس نتایج، اگر تغییرات بازه‌ی تضعیف‌کننده بیشتر از 5/0 باشد، باعت کاهش عملکرد شده و اگر در بازه کمتر از 5/0 باشد تاثیر چندانی بر عملکرد ندارد. تغییرات بازه‌ی تقویت‌کننده و امکان‌پذیری اگر کمتر 5/0 باشد سطح متوسطی از تغییر را در عملکرد ایجاد و اگر بیشتر از 5/0 باشد، خروجی عملکرد را افزایش می‌دهد. به‌منظور اعتبار سنجی و حصول اطمینان از کارآیی آن از تست شرایط حدی استفاده ‌شده است. نتایج نشان داد که آزمون برای سه SUB - FIS اجرا شده و تمامی FIS های طراحی‌ شده مذکور رفتار منطقی نسبت به مقادیر حدی ورودی‌ها از خود ارائه نموده‌اند که این نشانگر اعتبار مدل طراحی ‌شده است و می‌توان بیان داشت که سیستم از دقت و اعتبار مطلوبی برای ارزیابی برخوردار است. Manuscript profile