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    A quantitative approach for measuring process innovation: a case study in a manufacturing company

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    Authors
    Ayhan, Mustafa Batuhan
    Öztemel, Ercan
    Aydin, Mehmet Emin
    Yue, Yong
    Issue Date
    2013
    Subjects
    manufacturing systems
    process innovation
    degree of process innovation
    
    Metadata
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    Abstract
    Process management and innovation arguably remain among the concepts under focus of recent researches since there is no significantly outstanding method to measure and monitor the level of innovation in the manufacturing processes over a particular time period taking the fundamental activities of manufacturing processes into account. Although there are various studies relevant to process improvement, manufacturing processes are not focused on in the literature. This paper presents a novel performance indicator, called degree of process innovation, for monitoring and measuring innovation in manufacturing processes based on the four most important components among the fundamental activities of a manufacturing system. The components are namely Average Labour Utilisation, Cumulative Bottleneck Ratio, Unit Production Time and Unit Production Cost. The idea behind this approach has flourished on the basis of an indicator proposed in the literature to measure the general organisational improvements. The scope of that indicator has been narrowed down to manufacturing processes to accurately reflect the state of the manufacturing processes. The proposed approach has been verified with a case study in manufacturing industry, where each of the four sub-indicators was calculated based on the data provided and aggregated into the degree of process innovation. The innovation degree is successfully indicated.
    Citation
    Ayhan, M.B., Öztemel, E., Aydin, M.E. and Yue,Y. (2013) 'A quantitative approach for measuring process innovation: a case study in a manufacturing company', International Journal of Production Research, 51(11), pp.3463-3475
    Publisher
    Taylor and Francis
    Journal
    International Journal of Production Research
    URI
    http://hdl.handle.net/10547/297884
    DOI
    10.1080/00207543.2013.774495
    Additional Links
    http://www.tandfonline.com/doi/abs/10.1080/00207543.2013.774495
    Type
    Article
    Language
    en
    ISSN
    0020-7543
    1366-588X
    ae974a485f413a2113503eed53cd6c53
    10.1080/00207543.2013.774495
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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