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Knowledge building about performance evaluation in lean production

Knowledge building about performance evaluation in lean production The purpose of this paper is to focus on the analysis of the characteristics and gaps of a literature fragment from the international scientific publications on performance evaluation in lean production, aiming to generate new knowledge and suggestions for future scientific research.Design/methodology/approachThe authors have adopted “ProKnow-C” methodology, a qualitative research approach that is used for literature selection, identification, analysis and reflection on the established characteristics.FindingsFrom a bibliographic portfolio of 67 research works, 91 per cent of the works have individual metrics and 84 per cent have sets of metrics. Evaluating the focus of the performance measurement system, 34 per cent of works measure performance, 43 per cent compare performance and only 18 per cent assist in strategic planning. Evaluating the phases of the PMS life cycle, 87 per cent attend to the design, and 66 per cent attend to the activities of data collection, allow diagnosis, evaluate performance and communicate results. However, only 3 per cent of the studies analysed the use of PMS after its implementation and no research evidenced the review of metrics and objectives based on strategic planning.Research limitations/implicationsThe search formula to capture the bibliographic portfolio (BP) was limited to the following terms: performance measurement, performance evaluation, performance assess*, performance appraisal, management, indicator*, critical factors, best practices, lean production, lean manufacturing and lean system. The BP was determined based on the limitations set by the research authors: articles published in English and Portuguese languages, from 2000 to 2018, in the Engineering Village, Scopus, EBSCO, Web of Science, ProQuest and Science Direct databases, which were freely available on the internet. Lastly, conceptual knowledge was used to select the articles, so there is a chance that unintentional losses could happen.Practical implicationsAs practical implications for practitioners, the authors have identified that a PMS from an organisation that aims to become “lean” needs to be defined and revised considering its strategy, adjusting its set of metrics and targets to the internal and external challenges. As practical implications for researchers, opportunities have been identified to develop longitudinal studies in PMS utilisation and review to understand how the measurement system must evolve over time through changes in the internal and external environments of organisations.Originality/valueThis research adds value because its results allow researchers and practitioners to visualise the boundaries of the knowledge from the BP, about performance management in lean production, and what their gaps are in relation to the reference model of performance evaluation. This research is original because it was not observed in the literature review, a research that used the ProKnow-C methodology for analysis of the alignment and gaps between lean production and performance evaluation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Manufacturing Technology Management Emerald Publishing

Knowledge building about performance evaluation in lean production

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1741-038X
DOI
10.1108/jmtm-12-2017-0277
Publisher site
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Abstract

The purpose of this paper is to focus on the analysis of the characteristics and gaps of a literature fragment from the international scientific publications on performance evaluation in lean production, aiming to generate new knowledge and suggestions for future scientific research.Design/methodology/approachThe authors have adopted “ProKnow-C” methodology, a qualitative research approach that is used for literature selection, identification, analysis and reflection on the established characteristics.FindingsFrom a bibliographic portfolio of 67 research works, 91 per cent of the works have individual metrics and 84 per cent have sets of metrics. Evaluating the focus of the performance measurement system, 34 per cent of works measure performance, 43 per cent compare performance and only 18 per cent assist in strategic planning. Evaluating the phases of the PMS life cycle, 87 per cent attend to the design, and 66 per cent attend to the activities of data collection, allow diagnosis, evaluate performance and communicate results. However, only 3 per cent of the studies analysed the use of PMS after its implementation and no research evidenced the review of metrics and objectives based on strategic planning.Research limitations/implicationsThe search formula to capture the bibliographic portfolio (BP) was limited to the following terms: performance measurement, performance evaluation, performance assess*, performance appraisal, management, indicator*, critical factors, best practices, lean production, lean manufacturing and lean system. The BP was determined based on the limitations set by the research authors: articles published in English and Portuguese languages, from 2000 to 2018, in the Engineering Village, Scopus, EBSCO, Web of Science, ProQuest and Science Direct databases, which were freely available on the internet. Lastly, conceptual knowledge was used to select the articles, so there is a chance that unintentional losses could happen.Practical implicationsAs practical implications for practitioners, the authors have identified that a PMS from an organisation that aims to become “lean” needs to be defined and revised considering its strategy, adjusting its set of metrics and targets to the internal and external challenges. As practical implications for researchers, opportunities have been identified to develop longitudinal studies in PMS utilisation and review to understand how the measurement system must evolve over time through changes in the internal and external environments of organisations.Originality/valueThis research adds value because its results allow researchers and practitioners to visualise the boundaries of the knowledge from the BP, about performance management in lean production, and what their gaps are in relation to the reference model of performance evaluation. This research is original because it was not observed in the literature review, a research that used the ProKnow-C methodology for analysis of the alignment and gaps between lean production and performance evaluation.

Journal

Journal of Manufacturing Technology Management – Emerald Publishing

Published: Jul 23, 2019

Keywords: Performance measurement; Best practice; Benchmarking; Lean manufacturing; Performance indicators; Manufacturing management

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