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Manufacturing systematics and cladistics: state of the art and generic classification

Christen Rose-Anderssen (Advanced Manufacturing Research Centre with Boeing, University of Sheffield, Sheffield, UK)
James Baldwin (Advanced Manufacturing Research Centre with Boeing, University of Sheffield, Rotherham, UK)
Keith Ridgway (Advanced Manufacturing Research Centre with Boeing, University of Sheffield, Rotherham, UK)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 5 June 2017

Abstract

Purpose

The purpose of this paper is to critically evaluate the state of the art of applications of organisational systematics and manufacturing cladistics in terms of strengths and weaknesses and introduce 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 53 candidate manufacturing systems, using 13 characters with 84 states, are hypothesised and presented diagrammatically. The manufacturing systems are also organised in a hierarchical classification with 13 genera, 6 families and 3 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 first expands on previous work by producing a more generic manufacturing system classification. Second, 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.

Keywords

Citation

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, Vol. 28 No. 5, pp. 655-685. https://doi.org/10.1108/JMTM-08-2016-0115

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited