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How to Improve the Use of Industrial Robots in Lean Manufacturing Systems
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-4308-2678
2011 (English)In: Journal of Manufacturing Technology Management, ISSN 1741-038X, E-ISSN 1758-7786, Vol. 22, no 7, p. 891-905Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is to identify how industrial robotics fits into lean manufacturing systems. This paper presents results from case studies where Swedish and Japanese manufacturing industries have been compared in order to identify differences on how advancedmanufacturing technologies and industrial robotics are utilized. Design/methodology/approach: The research has been conducted via case studies where researchers from academia have worked together with industrial companies. During the case studies, the results of interviews, observations and data collection in the form of performance measures and historical production data have been analyzed. Findings: This paper highlights some of the differences between how Swedish and Japanese companies work with industrial robotics. It also proposes some key areas where development could lead to better integration of industrial robotics into lean manufacturing systems. Originality/value: This research has been performed with the intention of identifying how manufacturing industries could increase their competitiveness through industrial robotautomation. The companies involved in the research project have received feedback on their automation solutions. The overall goal is to create a guideline for how to design industrial robotic work cells that can easily be integrated into lean manufacturing systems. This research area is important in order to increase competitiveness in industry. It is thus of value for both industry and the scientific community.

Place, publisher, year, edition, pages
2011. Vol. 22, no 7, p. 891-905
National Category
Engineering and Technology
Research subject
Innovation and Design
Identifiers
URN: urn:nbn:se:mdh:diva-13503DOI: 10.1108/17410381111160951Scopus ID: 2-s2.0-80054932594OAI: oai:DiVA.org:mdh-13503DiVA, id: diva2:466043
Funder
XPRES - Initiative for excellence in production researchAvailable from: 2011-12-15 Created: 2011-12-15 Last updated: 2017-12-08Bibliographically approved

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Jackson, Mats

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