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dc.contributor.authorKang, Parminder Singhen
dc.contributor.authorClement, Rossen
dc.contributor.authorHopewell, Ashleyen
dc.contributor.authorDuffy, A. P.en
dc.contributor.authorGaricia-Taylor, Mariluen
dc.date.accessioned2015-11-09T12:16:33Z
dc.date.available2015-11-09T12:16:33Z
dc.date.issued2015-09-11
dc.identifier.citationTaylor, M., Kang, P. S., Clement, R. and Duffy, A. (2015) Knowledge Engineering Based Forecasting to Improve Daily Demand Prediction for Refrigerated and Short Shelf-Life Food Supply Chains. The 20th Annual Conference of The Chartered Institute of Logistics & Transport, Logistics Research Network (LRN), 9 – 11 Sept. 2015en
dc.identifier.urihttp://hdl.handle.net/2086/11329
dc.description.abstractThe accuracy of demand forecasting for companies in the food industry is highly important, especially for those that deal with products that require refrigeration or that have short shelf-life, given the fact that the freshness and overall quality of the products offered can affect the profit margins for business and the health of the consumers (Doganis et al., 2006). Furthermore, Agrawal and Schorling (1996) as cited by Chen and Ou (2008) highlighted that having easy access to accurate and up-to-date information about demand forecasting is vital for any company aiming to maintain high levels of competitiveness in their market sector. This is even more important for fresh foods wholesalers, whose profit is directly affected by wasted or unsold products and unsatisfied customers (unfulfilled demand), especially when storage facilities are limited.en
dc.language.isoenen
dc.publisherThe 20th Annual Conference of The Chartered Institute of Logistics & Transport, Logistics Research Network (LRN), Derby UKen
dc.subjectKnowledge Engineeringen
dc.subjectDemand Forecastingen
dc.subjectShort Shelf-Lifeen
dc.subjectFood Wholesaleren
dc.titleKnowledge Engineering Based Forecasting to Improve Daily Demand Prediction for Refrigerated and Short Shelf-Life Food Supply Chainsen
dc.typeConferenceen
dc.researchgroupLean Engineering Research Groupen
dc.researchgroupEngineering and Physical Sciences Institute (EPsi)
dc.peerreviewedYesen
dc.funderInnovateUKen
dc.projectidAIDMTen
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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