مقاله انگلیسی رایگان در مورد سیستم برنامه ریزی منابع سازمانی مبنی بر ابر و لبه برای اینترنت اشیای صنعتی – الزویر ۲۰۲۲

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله سیستم های برنامه ریزی منابع سازمانی (ERP) مبنی بر ابر و لبه برای اینترنت اشیای صنعتی و کارخانه هوشمند
عنوان انگلیسی مقاله Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory
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 نمیباشد
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۲۶۷ در سال ۲۰۲۰
شاخص H_index ۹۲ در سال ۲۰۲۱
شاخص SJR ۰٫۵۶۹ در سال ۲۰۲۰
شناسه ISSN ۱۸۷۷-۰۵۰۹
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی صنایع – مدیریت – مهندسی کامپیوتر
گرایش های مرتبط برنامه ریزی و تحلیل سیستم ها – تکنولوژی صنعتی – مدیریت صنعتی – مدیریت فناوری اطلاعات – رایانش ابری
نوع ارائه مقاله
ژورنال
مجله  Procedia Computer Science – مجموعه علوم کامپیوتر
دانشگاه Institute for High Performance Computing and Networking (ICAR), Italy
کلمات کلیدی سیستم های برنامه ریزی منابع سازمانی (ERP)، سیستم های برنامه ریزی منابع سازمانی (ERP) ابر، رایانش لبه، اینترنت اشیای صنعتی، پذیرش سیستم های برنامه ریزی منابع سازمانی (ERP)، کارخانه هوشمند
کلمات کلیدی انگلیسی Enterprise Resource Planning, Cloud ERP, Edge Computing, Edge ERP, Industrial Internet of Things, ERP Adoption, Smart Factory.
شناسه دیجیتال – doi
https://doi.org/10.1016/j.procs.2022.01.251
کد محصول E16201
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فهرست مطالب مقاله:

Abstract

۱٫ Introduction

۲٫ Background and review of literature

۳٫ Discussion

۴٫ Conclusion and Future Scope

Acknowledgment

References

بخشی از متن مقاله:

Abstract

     Enterprise Resource Planning (ERP) system is a collection of collaborative software programs. It handles transactions through enterprise-wide business processes using shared databases, standard methodologies, and data exchange across and within functional domains. Setting up an enterprise system is a complex activity and a costly and dangerous investment. Further, ERP system potentially affects core business and supporting processes, especially in complex and cyber-physical domains such as Industrial Internet of Things (IIoT) and Smart Factory. Cloud ERP (C-ERP) and Edge ERP (E-ERP) are alternatives to traditional, centralised and monolithic ERP implementation for incorporating the benefits of Cloud and Edge Computing. Their main benefits include ease of use, resource balancing, bandwidth, cost-saving, and higher privacy/security. This paper discusses the benefits and limitations of using C-ERP and E- ERP in IIoT and Smart Factory domains, along with future directions in the ERP era of demand.

Introduction

     One of the most widely utilised information technology (IT) solutions in organisations are ERP systems [1]. These are well-organised collections of software that works together to timely integrate business processes and support the management of effective cross-functional operations within an organisation. In particular, in ERP systems, a single database has all of the information. It acts as a central location for storing, distributing, and sending data between departments and business processes to manage transactions and data exchange across and within different functional areas. Setting up such a complex, shared and monolith system as an ERP is more than a computer project. It’s a costly and hazardous investment, and the process impacts the organisation’s core and support operations [2]. However, business operations’ technical and functional integration to synchronise the flow of information with the content flow of products or services is very attractive for the companies, representing one of the significant reasons for ERP adoption [3] [4].

     Simultaneously, companies can also benefit from novel enabling technologies such as Cloud and Edge computing. First, they provide the capability to process and store large amounts of data. Second, they allow continuous and realtime information sharing between customers and consumers; and third, they can rapidly and agilely respond to consumer behaviour and organisation needs [5]. The main benefits and features of Cloud and Edge computing perfectly match with ERP systems’ needs. Indeed, Cloud-based ERP (C-ERP) and Edge-based ERP (E-ERP) systems consist of a host ERP that operates, respectively, on a cloud and edge provider’s infrastructure. These infrastructures include software, hardware, storage, networks and other resources which can overcome the limits of conventional, centralised ERP systems. C-ERP and E-ERP solutions have been recently developed for many application domains, including the Industrial Internet of Things (IIoT) and Smart Factories. ERP systems can simplify the facility and business automation and support the integration of internal/ external resources and management decisions. Indeed, especially in such domains, bringing data and cyber-physical processes together by simultaneously complying with business and organisational needs is key for addressing the increasingly complex challenges of economy 4.0.

Conclusion and Future Scope

     The adoption of C-ERP and E-ERP is a strategic choice made by any industry. ERP’s competitive advantage stems from its integration with newer technologies (IIoT), which hides the constant need for change in an organisation’s operation. The study of the industrial decision-making process began with examining the factors that impact C-ERP and E-ERP adoption. E-ERP solutions can beat C-ERP solutions in terms of faster provisional delivery, better query execution, and closeness to the client. Edge computing may also be utilised in a variety of ERP systems and modules. Edge nodes may handle specific task allocations right at the edge network, simplifying and dividing activities to be done partially at the edge and transmitting only the most intensive computing jobs to C-ERP. Finally, the E-ERP model delivers real-time data, making it a more effective and efficient decision-making and reporting tool. Sharing workloads with the central ERP application server and controlling partial execution at the edge nodes achieve low latency and high performance.

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