Responsiveness optimisation in the fractal supply network

SAAD, Sameh and BAHADORI, Ramin (2016). Responsiveness optimisation in the fractal supply network. In: GOH, Yee Mey and CASE, Keith, (eds.) Advances in manufacturing technology XXX : Proceedings of the 14th International Conference on Manufacturing Research, incorporating the 31st National Conference on Manufacturing Research, September 6-8, 2016 Loughborough University, UK. Advances in transdisciplinary engineering (3). Amsterdam, IOS Press, 457-462.

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Official URL: http://ebooks.iospress.nl/volumearticle/44392
Link to published version:: https://doi.org/10.3233/978-1-61499-668-2-457
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    Abstract

    Responsiveness is one of the significant performance measures in today's market based on which organisations can measure their success in seizing markets opportunities within Fractal Supply Chain. This paper aims to present this fractal supply network and also proposes a new mathematical model through which replenishment; transportation, production and handling time can be optimised at different stages of the fractal supply network. Both the proposed Fractal Supply Network and the mathematical model are implemented and validated using Supply Chain GURU Software. Application of the proposed mathematical model has led to a reduction in the total replenishment time and enables practitioners to systematically decide upon the optimum replenishment time at different stage of the network.

    Item Type: Book Section
    Additional Information: Presented at the 14th International Conference on Manufacturing Research, incorporating the 31st National Conference on Manufacturing Research, September 6-8, 2016, Loughborough University, UK Series ISSN - Print: 2352-751X Online 2352-7528.
    Uncontrolled Keywords: Fractal supply networks, replenishment time, supply network optimisation.
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Systems Modelling and Integration Group
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
    Identification Number: https://doi.org/10.3233/978-1-61499-668-2-457
    Page Range: 457-462
    Depositing User: Sameh Saad
    Date Deposited: 06 Dec 2016 16:34
    Last Modified: 01 Jul 2020 14:44
    URI: http://shura.shu.ac.uk/id/eprint/14043

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