An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0

Theodore Lim, Mathis Linnenbrink, James Millar Ritchie, Aparajithan Sivanathan, Carsten Teichert, Anthony Waller

Research output: Contribution to conferencePaper

Abstract

Discrete event modelling (DEM) can describe the behaviour and performance of a real-life activity or process within a facility or system that occurs over time. This work reports on applying DEM as a tool to provide fundamental insights on how SME’s can incrementally improve their capability regarding the implementation of an Industry 4.0 strategy. The case study discussed analyses the potential changes to the project life cycle of an SME as it undertakes a journey towards implementing Industry 4.0 for its operations. A combination of Value Stream Mapping (VSM) and Data Stream Mapping (DSM) enabled holistic mapping of the SME’s project’s life cycle into discrete event stages, which were integrated on the WITNESS DEM system to enable the company to stress test and plan their Industry 4.0 implementation strategy over time. The findings reveal the interdependent nature of workforce and technology necessitates simultaneous development to achieve optimal functionality.
Original languageEnglish
Publication statusAccepted/In press - 28 Feb 2018
EventIndustry 4.0 Academia Summit - Manchester Central Convention Complex, Manchester, United Kingdom
Duration: 28 Feb 20181 Mar 2018
https://www.industry40summit.com/industry-4-0-academia/industry-4-0-academia-programme/

Conference

ConferenceIndustry 4.0 Academia Summit
CountryUnited Kingdom
CityManchester
Period28/02/181/03/18
Internet address

Fingerprint

Modeling
Industry
Value stream mapping
Small and medium-sized enterprises
Project life cycle
System modeling
Functionality
Data streams
Strategy implementation
Stress test
Workforce
Integrated

Cite this

Lim, T., Linnenbrink, M., Ritchie, J. M., Sivanathan, A., Teichert, C., & Waller, A. (Accepted/In press). An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0. Paper presented at Industry 4.0 Academia Summit, Manchester, United Kingdom.
Lim, Theodore ; Linnenbrink, Mathis ; Ritchie, James Millar ; Sivanathan, Aparajithan ; Teichert, Carsten ; Waller, Anthony . / An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0. Paper presented at Industry 4.0 Academia Summit, Manchester, United Kingdom.
@conference{24129cb99ba44cb5aa4e4e6a617cb757,
title = "An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0",
abstract = "Discrete event modelling (DEM) can describe the behaviour and performance of a real-life activity or process within a facility or system that occurs over time. This work reports on applying DEM as a tool to provide fundamental insights on how SME’s can incrementally improve their capability regarding the implementation of an Industry 4.0 strategy. The case study discussed analyses the potential changes to the project life cycle of an SME as it undertakes a journey towards implementing Industry 4.0 for its operations. A combination of Value Stream Mapping (VSM) and Data Stream Mapping (DSM) enabled holistic mapping of the SME’s project’s life cycle into discrete event stages, which were integrated on the WITNESS DEM system to enable the company to stress test and plan their Industry 4.0 implementation strategy over time. The findings reveal the interdependent nature of workforce and technology necessitates simultaneous development to achieve optimal functionality.",
author = "Theodore Lim and Mathis Linnenbrink and Ritchie, {James Millar} and Aparajithan Sivanathan and Carsten Teichert and Anthony Waller",
year = "2018",
month = "2",
day = "28",
language = "English",
note = "Industry 4.0 Academia Summit ; Conference date: 28-02-2018 Through 01-03-2018",
url = "https://www.industry40summit.com/industry-4-0-academia/industry-4-0-academia-programme/",

}

Lim, T, Linnenbrink, M, Ritchie, JM, Sivanathan, A, Teichert, C & Waller, A 2018, 'An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0' Paper presented at Industry 4.0 Academia Summit, Manchester, United Kingdom, 28/02/18 - 1/03/18, .

An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0. / Lim, Theodore; Linnenbrink, Mathis ; Ritchie, James Millar; Sivanathan, Aparajithan; Teichert, Carsten ; Waller, Anthony .

2018. Paper presented at Industry 4.0 Academia Summit, Manchester, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0

AU - Lim, Theodore

AU - Linnenbrink, Mathis

AU - Ritchie, James Millar

AU - Sivanathan, Aparajithan

AU - Teichert, Carsten

AU - Waller, Anthony

PY - 2018/2/28

Y1 - 2018/2/28

N2 - Discrete event modelling (DEM) can describe the behaviour and performance of a real-life activity or process within a facility or system that occurs over time. This work reports on applying DEM as a tool to provide fundamental insights on how SME’s can incrementally improve their capability regarding the implementation of an Industry 4.0 strategy. The case study discussed analyses the potential changes to the project life cycle of an SME as it undertakes a journey towards implementing Industry 4.0 for its operations. A combination of Value Stream Mapping (VSM) and Data Stream Mapping (DSM) enabled holistic mapping of the SME’s project’s life cycle into discrete event stages, which were integrated on the WITNESS DEM system to enable the company to stress test and plan their Industry 4.0 implementation strategy over time. The findings reveal the interdependent nature of workforce and technology necessitates simultaneous development to achieve optimal functionality.

AB - Discrete event modelling (DEM) can describe the behaviour and performance of a real-life activity or process within a facility or system that occurs over time. This work reports on applying DEM as a tool to provide fundamental insights on how SME’s can incrementally improve their capability regarding the implementation of an Industry 4.0 strategy. The case study discussed analyses the potential changes to the project life cycle of an SME as it undertakes a journey towards implementing Industry 4.0 for its operations. A combination of Value Stream Mapping (VSM) and Data Stream Mapping (DSM) enabled holistic mapping of the SME’s project’s life cycle into discrete event stages, which were integrated on the WITNESS DEM system to enable the company to stress test and plan their Industry 4.0 implementation strategy over time. The findings reveal the interdependent nature of workforce and technology necessitates simultaneous development to achieve optimal functionality.

M3 - Paper

ER -

Lim T, Linnenbrink M, Ritchie JM, Sivanathan A, Teichert C, Waller A. An industrial case study on Discrete Event Modelling of Value Stream Mapping for Industry 4.0. 2018. Paper presented at Industry 4.0 Academia Summit, Manchester, United Kingdom.