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Article
Publication date: 11 September 2011

Mikael Hedelind and Mats Jackson

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…

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Abstract

Purpose

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 advanced manufacturing 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 robot automation. 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.

Details

Journal of Manufacturing Technology Management, vol. 22 no. 7
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 28 January 2014

182

Abstract

Details

Journal of Manufacturing Technology Management, vol. 25 no. 1
Type: Research Article
ISSN: 1741-038X

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