مقاله انگلیسی رایگان در مورد انعطاف‌پذیری در سیستم‌های تامین – الزویر ۲۰۲۲

مقاله انگلیسی رایگان در مورد انعطاف‌پذیری در سیستم‌های تامین – الزویر ۲۰۲۲

 

مشخصات مقاله
ترجمه عنوان مقاله انعطاف‌پذیری در سیستم‌های تامین – آنچه صنعت غذا می‌تواند از بخش انرژی بیاموزد
عنوان انگلیسی مقاله Resilience in supply systems – What the food industry can learn from energy sector
انتشار مقاله سال ۲۰۲۲
تعداد صفحات مقاله انگلیسی ۹ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) DOAJ
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شناسه ISSN ۲۶۶۶-۴۴۹۶
فرضیه ندارد
مدل مفهومی دارد
پرسشنامه ندارد
متغیر دارد، جدول شماره ۱
رفرنس دارد
رشته های مرتبط مهندسی صنایع
گرایش های مرتبط بهینه سازی سیستم،مدل سازی سیستم های کلان
نوع ارائه مقاله
ژورنال
مجله  مجله علوم ایمنی و تاب آوری – Journal of Safety Science and Resilience
دانشگاه Technische Universität Dresden, Dresden, Germany
کلمات کلیدی تاب آوری، صنایع غذایی، بخش انرژی، نظریه سیستم
کلمات کلیدی انگلیسی Resilience, Food industry, Energy Sector, System Theory
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jnlssr.2021.10.001
کد محصول E15995
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
Introduction
Background theory and state of the art
Resilience in power supply systems and food supply systems
Resilience assessment
Conclusion
Declaration of Competing Interest
References

بخشی از متن مقاله:
Abstract
Drastic events such as pandemics, earthquakes or other disasters threaten not only the immediate living conditions of people but also indirect circumstances such as energy supply, infrastructure and food production. To ensure that damage and failures in these areas do not lead to a disaster, special requirements are placed on this critical infrastructure. In this context resilience, which is defined as the resistance of a system to external effects, is required. A field that is indeed part of the critical infrastructure, but which has not been considered as intensively as the energy sector, is food production. The investigation focuses on how fundamental principles of thermodynamics, system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience. Using known state and process variables from thermodynamics and electrical power engineering, analogous variables are derived for the food industry. These variables serve as an evaluation standard for a quality measure ?. In addition to system-theoretical considerations, it is investigated how existing evaluation criteria of power engineering, such as System Average Interruption Duration Index (SAIDI) and Customer Average Interruption Duration Index (CAIDI), can be transferred to food production. Design: The investigation focuses on how fundamental principles of thermodynamics, system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience. Using known state and process variables from thermodynamics and electrical power engineering, analogous variables are derived for the food industry. Purpose: Drastic events such as pandemics, earthquakes or other disasters threaten not only the immediate living conditions of people but also indirect circumstances such as energy supply, infrastructure and food production. To ensure that damage and failures in these areas do not lead to a disaster, special requirements are placed on this critical infrastructure. In this context resilience is required. Findings: The aforementioned state and process variables serve as an evaluation standard for a quality measure Q. In addition to system-theoretical considerations, it is investigated how existing evaluation criteria of power engineering, such as SAIDI and CAIDI, can be transferred to food production. Originality: This paper fulfils an identified need to study a part of the critical infrastructure that has not been as extensively looked at as the energy sector, namely food production.

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