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  • 1
    In: The TQM Journal, Emerald, Vol. 34, No. 2 ( 2022-02-18), p. 232-249
    Abstract: The current study investigates the effect of industry 4.0 on green practices, including green manufacturing and green logistics, in the context of emerging economies. Design/methodology/approach A cross-sectional data were collected from 234 manufacturing firms in Pakistan, and PLS-SEM was employed to test hypotheses. Findings With the advent of industry 4.0 in the current era, more emphasis is being given to the adoption of digital technologies in every field. The adoption of the green approach in supply chain management provides firms with socioeconomic and environmental benefits. The study results indicate that industry 4.0 positively affects green practices, including green manufacturing and green logistics. Moreover, the results also illustrate that these green practices have a substantial effect on the sustainability performance of the firms. Research limitations/implications This study provides an amplified understanding of the industry 4.0 technologies in the adoption of green practices. The outcomes also offer a policy framework for managers, legislators and manufacturers to promote green practices (i.e. green manufacturing and green logistics) in businesses. Originality/value Although several recent studies have tried to investigate the effect of green practices on sustainability performance. However, as per the author's best knowledge, very few studies have analyzed the influence of industry 4.0 on green practices (i.e. green manufacturing and green logistics) in the context of emerging economies.
    Type of Medium: Online Resource
    ISSN: 1754-2731
    Language: English
    Publisher: Emerald
    Publication Date: 2022
    detail.hit.zdb_id: 2420151-0
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Emerald ; 2015
    In:  Industrial Lubrication and Tribology Vol. 67, No. 4 ( 2015-6-8), p. 389-398
    In: Industrial Lubrication and Tribology, Emerald, Vol. 67, No. 4 ( 2015-6-8), p. 389-398
    Abstract: – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can further be used for machine component health diagnosis. Findings – The developed system has the capacity to replace the existing off-line methods due to its cost effectiveness and simplicity in operation. The system is able to analyze debris basic quantitative and qualitative features greater than 50 micron and less than 300 micron. Originality/value – Wear debris basic features analysis tool is developed and discussed. The portable and near real-time analysis offered by the discussed work can be more technically effective as compared to the existing off-line and online techniques.
    Type of Medium: Online Resource
    ISSN: 0036-8792
    Language: English
    Publisher: Emerald
    Publication Date: 2015
    detail.hit.zdb_id: 2025330-8
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