International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022
p-ISSN: 2395-0072
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DIGITAL TWIN FRAMEWORK FOR SUPPLYCHAIN PROCESS Ajeesh K Raj1, Dr. Haris Naduthodi2 1PG
Scholar manufacturing systems management, GEC Thrissur,Kerala,India,680009 Department of production engineering, GEC Thrissur, kerala, India 680009 ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - A successful supply chain management is an 2. LITERATURE SURVEY 2Professor,
important factor to improve the performance in an organization. The major problem identified is the uncertainties in stock management in the supply chain process. It causes due to the lack of information flow in real time. For that we need an effective integration and collaboration of various processes. Digital twin is an emerging technology that consists of creating virtual replicas of the object or processes. It achieves deep synchronization and dynamic interaction between the physical and virtual world. So, a real time information system is developed. It includes the data flow from sales point to the manufacturing organization in real time. The data’s are stored in cloud system. This will provide accurate and intuitive information for decisionmakers, to speed up the decision-making process and improve the veracity of decision
Digital Twins was introduced by Michael Grieves in early 2000’s in a course presentation for product life-cycle management [1]. Implementing DT was considered a complex procedure, which required many developments in different technologies in early 2011 [2]. The first description to use of Digital Twin was years by NASA in Technology Roadmaps [3], where a twin was used to mirror conditions in space and to perform tests for flight preparation. Dawned with the aerospace industry, the other manufacturing industry started to use digital twin in 2012. With the advancements in technologies like cloud computing, IoT and big data, many domains have seen major developments occurred , such as Industry 4.0 [4], Physical Internet [5,6], Cyber-manufacturing [7], Made in China 2025[8], Cloud Manufacturing [9] etc. Industry 4.0 has seen a revolution mainly because of digital advancements, IoT and Big Data [10, 11]. It was because of the Industry 4.0, the storage of all data in digital format, and sensors being inbuilt into the industrial spaces, that the implementation of digital twin was possible, rejuvenating the concept. With the emerging extensive simulation capabilities, it became feasible to perform realistic tests in a virtual environment. Owing to these technical advancements, the idea of implementing a functional digital twin was soon adopted by companies like IBM, Siemens and GE, as a utility for themselves and for their clients. Currently industries depend commercial software solutions for managing supply chain but in this packages the application of real time integration of data across systems with IoT and cloud computing seems to be limited. Hence a framework for managing supply chain with digital twin capabilities enables development of more intelligent integrated systems.
Keywords: Digital twin ,Supplychain process, Information system, IOT, Digital Monitoring, Industry 4.0, Cloud Infrastructure
1. INTRODUCTION In the beginning of the development of technological solutions in the world, it mentioned that a Digital twins are software representations of assets and processes that are used to understand, predict, and optimize performance in order to achieve improved business outcomes. Digital twins consist of mainly three components: a set of data model, a set of analytics or algorithms, and knowledge to create the system. Considering the classic concept of digital twin and the lack of comprehensive and robust solutions along a supply chain, it is possible to naturally conceive the concept of digital twin in supply chains. The design of a digital twin with the organizations that are part of a supply chain facilitates the activities of monitoring and digital control of operations happening there.Here the major problem identified is the uncertainties in stock management in the supply chain process. It causes due to the lack of information flow in real time. For that we need an effective integration and collaboration of various processes. So created an information system which includes the data flow from sales point to the manufacturing organization in real time with the help of cloud and IoT platforms.
3. RESEARCH METHODOLOGY
Fig 3.1 Development of Information flow
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