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Towards an assessment criterion of reconfigurable manufacturing systems within the automotive industry
Jönköping University School of Engineering, Department of Industrial Engineering and Management, Jönköping, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-0880-2572
Jönköping University School of Engineering, Department of Industrial Engineering and Management, Jönköping, Sweden.
Jönköping University School of Engineering, Department of Industrial Engineering and Management, Jönköping, Sweden.
2019 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 28, p. 76-82Article in journal (Refereed) Published
Abstract [en]

To increase changeability and reconfigurability of manufacturing systems, while maintaining cost-efficiency and environmental sustainability they need to be designed in accordance to the need for change. Since companies often need to convert existing manufacturing systems to handle variation, implementation of reconfigurable manufacturing systems calls for an analysis of the current system to understand to what extent they fulfil reconfigurability characteristics. This requires an assessment of the needs for reconfigurability as well as assessment of the existing ability to reconfigure the manufacturing system. Although a lot of reconfigurable manufacturing system assessment models are proposed in theory there is an evident knowledge gap pertaining to what extent the existing systems in the industry are in achieving reconfigurability. The purpose with this paper is to propose an assessment criterion for existing manufacturing systems to measure reconfigurability and their readiness to change with respect to products and volume variations. Based on a literature review of existing reconfigurability assessment models and a case study within the automotive industry, a criterion is developed and tested to analyze how reconfigurable a system is and to decide which parameters that need more attention to achieve higher degree of reconfigurability. © 2019 The Authors.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 28, p. 76-82
Keywords [en]
Assessment model, Changeable manufacturing, Manufacturing system, Reconfigurable manufacturing
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-17755DOI: 10.1016/j.promfg.2018.12.013Scopus ID: 2-s2.0-85072558955OAI: oai:DiVA.org:his-17755DiVA, id: diva2:1357720
Conference
7th International conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2018), Nantes, France, 8 October 2018 through 10 October 2018
Note

Edited by Catherine da Cunha, Alain Bernard, Michael Zäh, Hoda ElMaraghy, Waguih ElMaraghy

Available from: 2019-10-04 Created: 2019-10-04 Last updated: 2019-10-16Bibliographically approved

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Aslam, Tehseen

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