Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics

Bibliographic Details
Main Author:	Papadopulou, Chrisoula
Published:	University of Glasgow 2001
Subjects:	658 Management & business studies
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249971

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spelling	ndltd-bl.uk-oai-ethos.bl.uk-2499712015-03-20T03:31:45ZInvestigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logisticsPapadopulou, Chrisoula2001658Management & business studiesUniversity of Glasgowhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249971Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	658 Management & business studies
spellingShingle	658 Management & business studies Papadopulou, Chrisoula Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
author	Papadopulou, Chrisoula
author_facet	Papadopulou, Chrisoula
author_sort	Papadopulou, Chrisoula
title	Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
title_short	Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
title_full	Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
title_fullStr	Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
title_full_unstemmed	Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
title_sort	investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics
publisher	University of Glasgow
publishDate	2001
url	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249971
work_keys_str_mv	AT papadopulouchrisoula investigatingthedirectapplicationofchaostheorytodetectanalyseandanticipatehighlevelvariabilityinthelogisticsdemandofthirdpartylogistics
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Investigating the direct application of chaos theory to detect, analyse and anticipate high-level variability in the logistics demand of third party logistics

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