mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A New Insight into Data Requirements Between Discrete Event Simulation and Industry 4.0: A simulation-based case study in the automotive industry supporting operational decisions
Mälardalen University, School of Innovation, Design and Engineering.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Current industrial companies are highly pressured by growing competitiveness and globalization, while striving for increased production effectiveness. Meanwhile, flustered markets and amplified customer demands are causing manufacturers to shift strategy. Hence, international companies are challenged to pursue changes, in order to continue being competitive on global markets. Consequently, a new industrial revolution has taken place, introduced as Industry 4.0. This new concept incorporates organizational improvement and digitalization of current information and data flows. Accomplished by data from embedded systems through connected machines, devices and humans into a combined interface. Thus, companies are given possibilities to improve current production systems, simultaneously saving operational costs and minimizing insufficient production development.

Smart Factories, being the foundation of Industry 4.0 results in making more accurate and precise operational decisions from abilities to test industrial changes in a virtual world before real-life implementation. However, in order to assure these functions as intended, enormous amount of data must be collected, analysed and evaluated. The indicated data will aid companies to make more self-aware and automated decisions, resulting in increased effectiveness in production. Thus, the concept will clearly change how operational decisions are made today. Nowadays, Discrete Event Simulation is a commonly applied tool founded on specific data requirements as operational changes can be tested in virtual settings. Accordingly, it is believed that simulation can aid companies that are striving for implementing Industry 4.0. As a result, data requirements between Discrete Event Simulation and Industry 4.0 needs to be established, while detecting the current data gap in operational context. Hence, the purpose of this thesis is to analyse the data requirements of Discrete Event Simulation and Industry 4.0 for improving operational decisions of production systems. In order to justify the purpose, the following research questions has been stated:

 

RQ1: What are the data challenges in existing production systems?

RQ2: What data is required for implementing Industry 4.0 in production systems?

RQ3: How can data requirements from Discrete Event Simulation benefit operational decisions when implementing Industry 4.0?

 

The research questions were answered by conducting a case study, in collaboration with Scania CV AB. The case study performed observations, interviews and other relevant data collection to accomplish the purpose. In parallel, a literature review focusing on data requirements for operational decisions was compared to the empirical findings. The analysis identified the current data gap in existing production systems, in correlation to Industry 4.0, affecting the accuracy of operational decisions. In addition, it was shown that simulation can undoubtedly give positive outcome for adaptation of Industry 4.0, and a clear insight on data requirements.

Place, publisher, year, edition, pages
2019. , p. 116
Keywords [en]
Data Requirements, Discrete Event Simulation, Industry 4.0, Operational Decisions, Production System Development
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-42724OAI: oai:DiVA.org:mdh-42724DiVA, id: diva2:1289789
External cooperation
Scania CV AB
Subject / course
Mechanical Engineering
Presentation
2019-01-18, Eskilstuna, 09:00 (Swedish)
Supervisors
Examiners
Available from: 2019-03-15 Created: 2019-02-19 Last updated: 2019-03-15Bibliographically approved

Open Access in DiVA

fulltext(2961 kB)114 downloads
File information
File name FULLTEXT01.pdfFile size 2961 kBChecksum SHA-512
2b979efd3e83f2b00fbaf3257713e0370e82c994fdcb32702c6d9434c60cb10b46d0d6e7e8d7c8d5a1ab7ee7bfcd40e1eb72e0d9c70cf85b2e307fcea685359f
Type fulltextMimetype application/pdf

By organisation
School of Innovation, Design and Engineering
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 114 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 702 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf