Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Choosing Levels of Automation in Production Systems: Finding Critical and Supportive Factors
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management. Jönköping University, School of Engineering, JTH. Research area Industrial Production. (Produktionssystem)
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management. Jönköping University, School of Engineering, JTH. Research area Industrial Production. (Produktionssystem)ORCID iD: 0000-0003-3236-5648
2005 (English)In: Proceedings of the 12th International EurOMA Conference on Operations and Global Competitiveness, Budapest, Hungary, June 19-22, 2005, 2005, p. 1593-1601Conference paper, Published paper (Other academic)
Abstract [en]

Operation and strategic decision making becomes more complex and dynamic related to the performance of industrial companies. In this light, the choice of a suitable and right automation level becomes critical and is a non-trivial decision making process. The purpose of this paper is to present definitions of manufacturing strategy, operational flexibility and automation levels in manufacturing. Further, this paper discusses linkages between process technology life stages, manufacturing strategy and levels of automation. A framework presenting critical and supportive factors affected by the choice of level of automation both short and long term give the basics for designating responsibilities to different categories of manufacturing managers. The choice of automation levels can be seen from and should be considered within different dimensions: (1) process life cycle stage; (2) fit with manufacturing strategy; and (3) organizational level.

Place, publisher, year, edition, pages
2005. p. 1593-1601
Keywords [en]
Manufacturing strategy, levels of automation, framework
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-6086OAI: oai:DiVA.org:hj-6086DiVA, id: diva2:36906
Available from: 2008-05-20 Created: 2008-05-20 Last updated: 2015-12-30Bibliographically approved
In thesis
1. Formulation of Automation Strategy in Manufacturing Systems: Developing a Methodology for Analysing and choosing Levels of Automation
Open this publication in new window or tab >>Formulation of Automation Strategy in Manufacturing Systems: Developing a Methodology for Analysing and choosing Levels of Automation
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the global environment where industrial enterprises strive for competitiveness, the ability to adjust quickly to changing conditions is important. This global industrial context challenges the companies to develop new capabilities. Capacity flexibility is an important measure of competitiveness and one important capability for improving productivity and effectiveness. Available resources contribute to capacity (output) and influence capacity flexibility. Thus, the way resources are managed is important. One way to manage resources within the manufacturing system is to choose resources that are the most suitable for the task performed by adopting task allocation. Task allocation between human and technology therefore becomes central for design of workplaces with optimal performance. This becomes the challenge of automation. However, to make the right decisions on automation and the skills required for the handling of tools and technology is a complex process of decision making for managers.

In the light of this, the objective of this thesis is to develop a methodology for analysing and choosing levels of automation with the purpose to formulate automation strategy in manufacturing systems. The analysis is based on measurement of levels of automation and alignment between levels of automation and the business and manufacturing strategies. The application area of the research is the manufacturing industry and in particular assembly lines or cells because of the mixture of human and technological resources.

As indicated by the objective, the outcome of this thesis is a structured methodology that analyses possible alternatives of levels of automation weighted against competitive priorities. The methodology consists of five stages: (1) preparation, (2) business and manufacturing strategy, (3) estimation of levels of automation for critical subtasks, (4) analysis of levels of automation, and (5) completion. The methodology supports visibility of results. Depending on where the company has its greatest improvement potential, different starting points in the methodology can be applied. Validation of the methodology indicates that usefulness, use, and satisfaction with the methodology can be seen as good.

The issue of considering both humans and technology is critical for the success of the system, as it builds the resources of the manufacturing function. Overcoming barriers in measuring LoA and in aligning resources with market needs is crucial for developing long term automation strategies. Certain criteria of the manufacturing system influence the choice of LoA. Those criteria are production volume and specific product characteristics. Proposed improvements for formulating manufacturing strategy involve a focus on communication and knowledge sharing, introducing measures for learning and knowledge, enhancing interactions between inside and outside partners, and closing knowledge gaps. Those improvements should be seen primarily as research opportunities in the area of manufacturing strategy processes.

Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology, 2008. p. 146
Series
Doktorsavhandlingar vid Chalmers tekniska högskola, ny serie, ISSN 0346-718X ; 2880
Keywords
manufacturing strategy, levels of automation, task allocation, alignment, competitive priorities
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-8688 (URN)978-91-7385-199-2 (ISBN)
Public defence
2008-11-28, E1029, Gjuterigatan 5, Jönköping, 10:00 (Swedish)
Opponent
Supervisors
Note
Examina som teknologie doktor i produkt- och produktionsutveckling. Examinerande lärosäte: Chalmers tekniska högskolaAvailable from: 2009-05-13 Created: 2009-05-07 Last updated: 2009-05-13Bibliographically approved
2. Levels of Automation in Manufacturing Systems: Aligning Strategic and Tactical Decisions by Means of Operational Measurement
Open this publication in new window or tab >>Levels of Automation in Manufacturing Systems: Aligning Strategic and Tactical Decisions by Means of Operational Measurement
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology, 2007. p. 98
Series
Research Series from Chalmers University of Technology, ISSN 1652-9243 ; 18
Keywords
Levels of Automation, manufacturing systems, manufacturing strategy, performance, taxonomy, profile
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-3812 (URN)
Presentation
(English)
Available from: 2007-10-11 Created: 2007-10-11 Last updated: 2009-05-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Lindström, VeronicaWinroth, Mats

Search in DiVA

By author/editor
Lindström, VeronicaWinroth, Mats
By organisation
JTH, Industrial Engineering and ManagementJTH. Research area Industrial Production
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 384 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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