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Linking manufacturing strategy implementation to levels of automation
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
2007 (English)In: Proceedings of the 14th International Annual EurOMA Conference: Managing Operations in an Expanding Europe, Ankara, Turkey, June 17-20, 2007, 2007Conference paper, Published paper (Refereed)
Abstract [en]

When product life cycles become shorter, the implementation must be more efficient. The choice of levels of automation (LoA) may affect the implementation process. According to former work by measuring and analyzing LoA operationally, there are basically four different scenarios for the choice of LoA: (1) high LoA, (2) low LoA, (3) dynamic LoA, and (4) LoA that will optimize performance. Each of these LoA scenarios has its own characteristics related to decision areas and they can be linked to the implementation process and specific issues. A framework for further analysis of manufacturing strategy implementation process linked to different choices of LoA is presented. The observation in a manufacturing context suggests that the three decision areas process technology, human resources, and quality management are strongly related to LoA. The presented framework proposes that implementation issues are differently depending on both chosen LoA scenario and process life cycle stage.

Place, publisher, year, edition, pages
2007.
Keywords [en]
Manufacturing strategy, implementation, levels of automation
Identifiers
URN: urn:nbn:se:hj:diva-3342OAI: oai:DiVA.org:hj-3342DiVA, id: diva2:34162
Available from: 2007-09-19 Created: 2007-09-19 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

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Granell, VeronicaWinroth, Mats

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