SIES Development for EOPMS Towards Industry 4.0

This study introduces a semi-automatic method that assists in Product Innovation (PI). The Smart Innovation Engineering System (SIES) facilitates choice-making by explicitly understanding formal decision processes. The SIES can expedite and streamline innovation procedures for produced items. The system records and retrieves previous decision-making tasks or collections of experiences connected to innovation concerns, that improves PI. The method is utilized in massive organizations that produce identical items or in a consortium of Small and Medium-Sized firms (SMEs). The examination of fundamental principles and execution approach demonstrates that the SIES is an advanced model which enables Cyber-Physical Systems (CPS) and significantly impacts Industry 4.0. This methodology offers versatility and personalization of goods, is efficient and organized, and is expanded for viable innovations.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923341
Primary Topic
Digital Transformation in Industry
Type
article
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article

SIES Development for EOPMS Towards Industry 4.0

Omprakash Dewangan, Vasani Vaibhav Prakash
Digital Transformation in Industry
article

SIES Development for EOPMS Towards Industry 4.0

Omprakash Dewangan, Vasani Vaibhav Prakash
article en

Abstract

This study introduces a semi-automatic method that assists in Product Innovation (PI). The Smart Innovation Engineering System (SIES) facilitates choice-making by explicitly understanding formal decision processes. The SIES can expedite and streamline innovation procedures for produced items. The system records and retrieves previous decision-making tasks or collections of experiences connected to innovation concerns, that improves PI. The method is utilized in massive organizations that produce identical items or in a consortium of Small and Medium-Sized firms (SMEs). The examination of fundamental principles and execution approach demonstrates that the SIES is an advanced model which enables Cyber-Physical Systems (CPS) and significantly impacts Industry 4.0. This methodology offers versatility and personalization of goods, is efficient and organized, and is expanded for viable innovations.

Kalinga University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Digital Transformation in Industry
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