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dc.contributor.authorRaju, Y.en
dc.contributor.authorKang, Parminder Singhen
dc.contributor.authorMoroz, Adamen
dc.contributor.authorClement, Rossen
dc.contributor.authorHopwell, Ashleyen
dc.contributor.authorDuffy, A. P.en
dc.date.accessioned2015-12-17T09:50:39Z
dc.date.available2015-12-17T09:50:39Z
dc.date.issued2016-06
dc.identifier.citationRaju, Y., Kang, P. S., Moroz, A., Clement, C., Hopwell, A. and Duffy, A. (2015) Investigating the Demand for Short-shelf Life Food Products for SME Wholesalers. International Journal of Social, Behavioral, Educational, Economic and Management Engineering, 9 (6), pp. 1976 - 1980en
dc.identifier.urihttp://hdl.handle.net/2086/11413
dc.description.abstractAccurate forecasting of fresh produce demand is one the challenges faced by Small Medium Enterprise (SME) wholesalers. This paper is an attempt to understand the cause for the high level of variability such as weather, holidays etc., in demand of SME wholesalers. Therefore, understanding the significance of unidentified factors may improve the forecasting accuracy. This paper presents the current literature on the factors used to predict demand and the existing forecasting techniques of short shelf life products. It then investigates a variety of internal and external possible factors, some of which is not used by other researchers in the demand prediction process. The results presented in this paper are further analysed using a number of techniques to minimize noise in the data. For the analysis past sales data (January 2009 to May 2014) from a UK based SME wholesaler is used and the results presented are limited to product ‘Milk’ focused on café’s in derby. The correlation analysis is done to check the dependencies of variability factor on the actual demand. Further PCA analysis is done to understand the significance of factors identified using correlation. The PCA results suggest that the cloud cover, weather summary and temperature are the most significant factors that can be used in forecasting the demand. The correlation of the above three factors increased relative to monthly and becomes more stable compared to the weekly and daily demand.en
dc.language.isoenen
dc.publisherWorld Academy of Science, Engineering and Technologyen
dc.subjectDemand Forecastingen
dc.subjectDeteriorating Productsen
dc.subjectFood Wholesalersen
dc.subjectPrincipal Component Analysisen
dc.subjectVariability Factorsen
dc.titleInvestigating the Demand for Short-shelf Life Food Products for SME Wholesalersen
dc.typeArticleen
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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