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An empirical approach to decision support systems: advanced decision making within a SC framework

dc.contributor.authorde Miranda, João Luís
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T09:59:29Z
dc.date.available2018-11-27T09:59:29Z
dc.date.issued2011
dc.description.abstractDecision Support Systems are well known in higher education for multiple purposes, such as to conjugate data and intelligence, to achieve the best and possible solutions, and to adjust decisions under uncertainty. The optimality of discrete decisions (e.g., yes/no?) on uncertain environment is aimed in a Multivariate Analysis and Decision Support course: multivariate data is required, collected, and treated; then, through probabilistic measures of performance, Robust Optimization supports the development of decision rules (e.g., buy/sell?). Using an empirical approach, a case statement is specifically built to encapsulate several subproblems under an industry-based supply chain framework. Since the subproblems are student-oriented, by personal or professional reasons, the usual issues concerning domain knowledge or background information are thus avoided. Several applications are presented, addressing the planning and distribution activities, investments programming, financial risk treatment, and applied marketing.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18704
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titleAn empirical approach to decision support systems: advanced decision making within a SC frameworken
dc.typeText/Conference Paper
gi.citation.endPage364
gi.citation.publisherPlaceBonn
gi.citation.startPage364
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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