Browsing by Author "Wright, Matt"

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    ItemOpen Access
    Case Study Database
    (Cranfield University, 2017-03-15 09:34) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt
    Database of Case Studies Analysed;'Database of Case Studies Analysed'
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    ItemOpen Access
    Circular Innovation and Re-distributed Manufacturing
    (Cranfield University, 2017-08-23 07:38) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt; Campbell, Callum
    This is one of five feasibility studies conducted as part of the RECODE Network
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    ItemOpen Access
    DES Simulation
    (Cranfield University, 2017-03-15 09:33) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt
    Supportive data sets for the DES simulations. Users need Annylogic to open some of this files.
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    ItemOpen Access
    Opportunities for redistributed manufacturing and digital intelligence as enablers of a circular economy
    (Taylor and Francis, 2018-08-21) Moreno, Mariale; Court, Richard W.; Wright, Matt; Charnley, Fiona
    The linear production of consumer goods is characterised by mass manufacture by multinational enterprises and globally dispersed supply chains. The current centralised model has created a distance between the manufacturer and end user, limiting the opportunity for intelligent circular approaches for production and consumption. Through a mixed method approach, opportunities of circularity are explored for the consumer goods sector. The study presents four lenses to analyse three enterprises through a multi-case study approach to explore the potential of digital intelligence and redistributed manufacturing (RDM) as enablers of circular business models. In addition, the study examines whether Discrete Event Simulation can be used to evaluate the circular scenarios identified through quantifying flows of material that determine traditional economic value (cost/tonne). The mixed method approach demonstrates that, a qualitative systemic analysis can reveal opportunities for circularity, gained through implementing ‘digital intelligence’ and distributed models of production and consumption. Furthermore, simulations can provide a quantified evaluation on the effects of introducing circular activities across a supply chain.
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    ItemOpen Access
    Supportive Information DES and Case Study Analysis
    (Cranfield University, 2018-08-15 11:52) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt
    Supportive information for the full case study analysis and the DES simulation