Rose-Anderssen, C., Baldwin, J. and Ridgway, K. (2017) Manufacturing systematics and cladistics: state of the art and generic classification. Journal of Manufacturing Technology Management, 28 (5). pp. 655-685. ISSN 1741-038X
Abstract
Purpose: This paper critically evaluates the state of the art of applications of organisational systematics and manufacturing cladistics in terms of strengths and weaknesses and introduces new generic cladistic and hierarchical classifications of discrete manufacturing systems. These classifications are the basis for a practical web-based expert system and diagnostic benchmarking tool. Design/methodology/approach: There were two stages for the Research Methods, with eight re-iterative steps: one for theory building, using secondary and observational data, producing conceptual classifications; the second stage for theory testing and theory development, using quantitative data from 153 Companies and 510 manufacturing systems, producing the final factual cladogram. Evolutionary relationships between fifty-three candidate manufacturing systems, using thirteen characters with eighty-four states, are hypothesised and presented diagrammatically. The manufacturing systems are also organised in a hierarchical classification with thirteen genera, six families and Three orders under one class of discrete manufacturing. Findings: This work addressed several weaknesses of current manufacturing cladistic classifications which include the lack of an explicit out-group comparison, Limited conceptual cladogram Development, Limited use of characters and that previous classifications are specific to sectors. In order to correct these limitations, the paper firstly expands on previous work by producing a more generic manufacturing system classification. Secondly, it describes a novel web-based expert system for the practical Application of the discrete manufacturing system. Practical implications: The classifications form the basis for a practical web-based expert system and diagnostic benchmarking tool, but also have a novel use in an educational context as it simplifies and relationally organises extant manufacturing system knowledge. Originality/value: The Research employed a novel re-iterative methodology for both theory building, using observational data, producing the conceptual classification, and through theory testing developing the final factual cladogram that forms the basis for the practical web-based expert system and diagnostic tool.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 Emerald. This is an author produced version of a paper subsequently published in Journal of Manufacturing Technology Management. This version is distributed under the terms of the Creative Commons Attribution-NonCommercial Licence (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield) The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Jul 2017 15:12 |
Last Modified: | 20 Oct 2023 15:39 |
Status: | Published |
Publisher: | Emerald |
Refereed: | Yes |
Identification Number: | 10.1108/JMTM-08-2016-0115 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118563 |