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Operation Procedures of a Work-Center-Level Digital Twin for Sustainable and Smart Manufacturing

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International Journal of Precision Engineering and Manufacturing-Green Technology Aims and scope Submit manuscript

Abstract

A process and systematic efficiency enhancement in sustainable manufacturing can enhance energy and production operations as well as the energy-related indicators. Simulations are frequently used to increase this type of efficiency through diagnosis and evaluation of a physical asset. In particular, digital twin (DT) is currently attracting considerable attention as it provides technical functionality at the type and instance stages of a work center. In addition, DT can support efficient control and decision making with less gap in the site through vertical integration and horizontal coordination. Moreover, DT can contribute to prevent energy-related inefficiency by providing the functionalities required for the service composition of the technical functionalities that are defined for the enhancement of process and systematic efficiency. However, in terms of the provision of service-composition-based technical functionality of DT, no research has defined each step of the operation procedures of work-center-level DT application at a detailed level. This study proposes detailed operation procedures to create, synchronize, and utilize a work-center-level DT to provide appropriate service-composition-based technical functionality. To this end, the technical requirements were derived from the analysis of the service-composition-based technical functionality. This study systematically defined the various service-composition-based technical functionalities through a combination of various types of operation procedures. Each type is defined for three steps, namely creation, synchronization, and utilization. In addition, a case study was conducted to clarify DT and provide a suitable definition for the requirements.

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Abbreviations

AAS:

Asset Administration Shell

ANN:

Artificial Neural Network

API:

Application Programming Interface

APS:

Advanced Planning and Scheduling

CMSD:

Core Manufacturing Simulation Data

CPS:

Cyber Physical System

CSPI:

Commercial off-the-shelf Simulation Package Interoperability

DDL:

Data Description Language

DES:

Discrete Event Simulation

DFI:

Dyeing and Finishing Industry

DFS:

Dyeing and Finishing Shop

DT:

Digital Twin

GA:

Genetic Algorithm

IIoT:

Industrial Internet of Things

KPI:

Key Performance Indicator

OS:

Operation System

P3R:

Product, Process, Plant, and Resource

PHM:

Prognostic Health Management

RAMI:

Reference Architectural Model Industry

SME:

Small- and Medium-sized Enterprise

SOA:

Service-Oriented Architecture

SOAP:

Simple Object Access Protocol

STEP:

STandard for the Exchange of Product model data

UML:

Unified Modeling Language

NESIS:

NEutral SImulation Schema

VREDI:

Virtual REpresentation for a DIgital twin application

WCF:

Windows Communication Foundation

XML:

eXtensible Markup Language

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Acknowledgements

This work was partly supported by the Smart Factory Technological R&D grant funded by the Ministry of SMEs and Startups (MSS, Korea) [S2723330, Development and application of AI-based optimal work support solution for textile industry (dyeing process) field workers], and the WC300 Project was funded by the MSS [S2482274, Development of Multi-vehicle Flexible Manufacturing Platform Technology for Future Smart Automotive Body Production].

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Authors and Affiliations

  1. Department of Industrial Engineering, Sungkyunkwan University, Suwon-si, Republic of Korea

    Kyu Tae Park, Donggun Lee & Sang Do Noh

  2. Digital Factory Solution R&D Center, MICUBE Solution, Inc, Seoul, Republic of Korea

    Kyu Tae Park

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Correspondence to Sang Do Noh.

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Park, K.T., Lee, D. & Noh, S.D. Operation Procedures of a Work-Center-Level Digital Twin for Sustainable and Smart Manufacturing. Int. J. of Precis. Eng. and Manuf.-Green Tech. 7, 791–814 (2020). https://doi.org/10.1007/s40684-020-00227-1

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