ID:
publications-5237
Type:
Conference paper
Year:
2022
Authors:
Tshabalala P.; Kuriakose R.B.
Title:
Analyzing the Performance of a Digital Shadow for a Mixed-Model Stochastic System
Venue/Journal:
Lecture Notes in Networks and Systems
DOI:
10.1007/978-981-19-2130-8_50
Research type:
Water System:
Technical Focus:
Abstract:
The industry 4.0 era has brought about many trend breaking strategies in the manufacturing structure. These new approaches have resulted in ensuring the production process being more autonomous and efficient. Digital transformation is one such strategy introduced to improve product efficiency in the manufacturing industry. Digital twins and digital shadows are the two popular tools used for implementing digital transformation. This article discusses the design of a Digital Shadow created using MATLAB/Simulink for analyzing the performance and operation of a Mixed-model stochastic system. The research uses the case study of a water bottling plant capable of producing multiple variants of water bottles. The article describes how the digital shadow of the plant is able to simulate a specific input to determine possible bottlenecks, use of raw materials and the production efficiency. Β© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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