دانلود مقاله ارزیابی خطر اختلال در زنجیره تامین به دلیل کووید 19
ترجمه نشده

دانلود مقاله ارزیابی خطر اختلال در زنجیره تامین به دلیل کووید 19

عنوان فارسی مقاله: ارزیابی خطر اختلال در زنجیره تامین به دلیل کووید 19 با VIKORSort فازی
عنوان انگلیسی مقاله: Assessing risk of supply chain disruption due to COVID-19 with fuzzy VIKORSort
مجله/کنفرانس: سالانه تحقیقات در عملیات - Annals of Operations Research
رشته های تحصیلی مرتبط: مهندسی صنایع - مدیریت
گرایش های تحصیلی مرتبط: لجستیک و زنجیره تامین - مدیریت صنعتی
کلمات کلیدی فارسی: کووید 19، اختلالات زنجیره تامین، VIKORSort فازی، بخش های اقتصادی، پاکستان
کلمات کلیدی انگلیسی: COVID-19 · Supply chain disruptions · Fuzzy VIKORSort · Economic sectors · Pakistan
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1007/s10479-022-04940-9
لینک سایت مرجع: https://link.springer.com/article/10.1007/s10479-022-04940-9
نویسندگان: Jehangir Khan - Alessio Ishizaka - Sachin Kumar Mangla
دانشگاه: O P Jindal Global University, India
صفحات مقاله انگلیسی: 26
ناشر: اسپرینگر - Springer
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2022
ایمپکت فاکتور: 4.549 در سال 2020
شاخص H_index: 111 در سال 2022
شاخص SJR: 1.165 در سال 2020
شناسه ISSN: 1572-9338
شاخص Quartile (چارک): Q1 در سال 2020
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
آیا این مقاله فرضیه دارد: ندارد
کد محصول: e17197
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (ترجمه)

خلاصه

1. مقدمه

2 بررسی ادبیات

3 روش شناسی

4 مطالعه موردی

5 نتیجه و بحث

6 نتیجه گیری و جهت گیری تحقیقات آتی

پیوست 1

پیوست 2

منابع

فهرست مطالب (انگلیسی)

Abstract

1 Introduction

2 Literature review

3 Methodology

4 Case study

5 Result and discussion

6 Conclusion and future research direction

Appendix 1

Appendix 2

References

بخشی از مقاله (ترجمه ماشینی)

چکیده

     گسترش سریع همه‌گیری کووید 19 بسیاری از فعالیت‌های اقتصادی در سراسر جهان را مختل کرده است. سیاست‌های قرنطینه کامل و جزئی و همچنین بستن مرزها توسط بسیاری از کشورها تجارت را متوقف کرده و در نتیجه شبکه‌های زنجیره تامین داخلی و بین‌المللی را مختل کرده است. مانند بسیاری از کشورها، بخش های مختلف اقتصادی در پاکستان نیز به دلیل این اختلالات متحمل زیان های اقتصادی زیادی شدند. مطالعات متعددی در مورد تأثیر همه‌گیری کووید 19 بر بخش‌های مختلف اقتصادی در پاکستان، از جمله ساخت‌وساز، مسکن و غذا، تولید، کالاهای عمده‌فروشی و خرده‌فروشی، انرژی، و بخش‌های اطلاعات و ارتباطات تحلیل شده است. با این حال، هیچ مطالعه ای مرتب سازی این بخش های اقتصادی را بر اساس اختلالات زنجیره تامین به دلیل همه گیری بررسی نکرده است. بنابراین، این مطالعه با هدف مشاهده تاب‌آوری این بخش‌های اقتصادی و انجام مرتب‌سازی با استفاده از سه کلاس از پیش تعریف‌شده، یعنی اختلالات شدید، متوسط   و کم انجام می‌شود. برای این منظور، استفاده از روش جدید VIKORSort فازی را پیشنهاد می‌کنیم که سهم اصلی این مقاله است. این روش شناسی بخش های اقتصادی فوق را بر اساس 10 معیار ارزیابی می کند. نتایج این مطالعه نشان داد که بخش مسکن و غذا همراه با بخش ساخت و ساز بیشترین اختلال را تجربه کرده است و پس از آن بخش تولید، کالاهای عمده فروشی و خرده فروشی و انرژی با اختلال متوسط   قرار دارند، در حالی که بخش اطلاعات و ارتباطات کمترین اختلال را داشته است. روش پیشنهادی به محققان و مقامات کمک می‌کند تا با مشکلات دسته‌بندی و تصمیم‌گیری مقابله کنند تا اقدامات پیشگیرانه از چنین رویدادهای نامطلوبی را اولویت‌بندی کنند.

توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.

بخشی از مقاله (انگلیسی)

Abstract

     The rapid spread of the COVID-19 pandemic has disrupted many economic activities around the world. The complete and partial lockdown policies, as well as the closure of borders by many countries has halted trade, consequently disrupting domestic and international supply chain networks. Like many other countries, various economic sectors in Pakistan also bore high economic losses due to these disruptions. Multiple studies have analyzed on the impact of the COVID-19 pandemic on different economic sectors in Pakistan, i.e. construction, accommodation and food, manufacturing, wholesale and retail goods, energy, and the information and communication sectors. However, no study has examined sorting these economic sectors based on supply chain disruptions due to the pandemic. Therefore, this study aims to observe the resilience of these economic sectors and perform sorting using three predefined classes, i.e. severe, moderate, and low disruptions. For this purpose, we propose using the novel methodology fuzzy VIKORSort, which is the major contribution of this paper. This methodology evaluates the aforementioned economic sectors based on 10 criteria. The results of the study revealed that the accommodation and food sector, along with the construction sector, experienced the most severe disruption, followed by manufacturing, wholesale and retail goods, and energy, with moderate disruption, whereas the information and communication sector bore the least disruption. The proposed methodology will help the researchers and authorities deal with sorting and decision problems to prioritize the preventive measures of such undesirable events.

Introduction

     The advent of the twenty-first century has brought different catastrophic disasters to the face of the earth. Some of the deadliest disasters of the twenty-first century include the 2003 European heatwave, the 2004 Indian Ocean earthquake, the 2005 Kashmir earthquake, the 2008 Nargis Cyclone, 2010 earthquake in Haiti, 2015 earthquake in Nepal, the 2018 Camp Fire in California, and the Australian Bush fires of 2019–2020. All these disasters resulted in millions of human fatalities, along with billions of dollars in economic losses. Currently, the world is facing a new, unpreceded epidemic disaster, a contagious disease called COVID-19, which has disrupted almost every activity around the world (Sarkis et al., 2020). To tackle this pandemic, the World Health Organization (WHO) urged all countries to adopt preventive measures such as avoiding social gatherings, imposing lockdowns, curfews, travel limitations, and restricting economic activities (Anderson et al., 2020).

     The novel outbreak produced a sudden shock in the global economy, which disrupted the supply and demand cycles of different economic sectors. For instance, people compulsively bought more essential goods than they needed, disrupting the supply–demand cycle and leading to food shortages and price hikes (Boyaci-Gunduz et al., 2021). For this purpose, a resilient supply chain for the food sector was proposed to tackle the difficulties of varying supply–demand cycles (Singh et al., 2021). The resilience studied is defined as getting the process back to its original state after any distortion due to an undesirable event. The concept of a resilient supply chain has emerged to shield supply chains from swinging from chaotic to tranquil states and to ensure a continuous flow of business operations (Christopher & Peck, 2004). During the COVID-19 pandemic, many countries stopped their regional and foreign trade for fear of spreading COVID-19, exposing the poor resilience and vulnerability of global and regional supply chains (SC) (Obayelu et al., 2020). For example, before the COVID-19 pandemic, China was the major exporter of face masks and medical equipment in the world.Footnote1. However, with the impact on global supply chains and the increase in domestic demand due to COVID-19, China reduced exportation of the required medical equipment, affecting the health sector of many countries, including Pakistan. Moreover, a study in the UK revealed that many construction projects were adversely affected due to the COVID-19 pandemic, with disruption in the supply chain as one of the important causes of Alsharef et al. (1559). Indeed, many European Small- and Medium-sized Enterprises (SMEs) in the manufacturing sector faced serious challenges in smoothly maintaining their supply–demand cycle during the COVID-19 period (Juergensen et al., 2020).

Conclusion and future research direction

     Over the past two years, the COVID-19 outbreak exposed the vulnerabilities associated with the current supply chain. This outbreak produced supply chain disruptions generating widespread impact on all economic activities across the globe. To stop the rapid propagation of the virus, all the countries adopted preventive measures, which disturbed all business operations. The impact of these preventive measures on the supply chain was especially critical in frugal economies like Pakistan. It is important, therefore, to develop an effective action plan to analyze the losses incurred by each economic sector due to such disruptions. Furthermore, to prioritize this action plan, a full-fledged methodology is essential to categorize the economic sectors based on the disruption losses. With this in mind, this study contributes to the literature by proposing a novel Fuzzy VIKORSort methodology that categorizes the economic sectors into certain predefined, ordered classes.

     The findings of this study are helpful in identifying the most vulnerable sectors in the face of unlikely events. For instance, the case discussed in this research revealed that the supply chain of the accommodation and food sector, along with the construction sector, is the most vulnerable sector in the COVID-19 pandemic in Pakistan. These results can help policymakers and government officials design a recovery plan for whenever such an unlikely event happens. For example, the authorities can adopt different measures such as well-maintained buffer stock, self-sufficient and minimally dependent on imports from other countries, which may help to shield the supply chain from disruption during global, destructive events. Additionally, well-trained marketing experts should be hired who can access and fulfill the demands of at-home customers and also update them about new offerings.