HEAL DSpace

Μελέτη ευστάθειας στην επιλογή επενδυτικών σχεδίων με πολυκριτηριακό προγραμματισμό λαμβάνοντας υπόψη και την εταιρική περιβαλλοντική ευθύνη

Αποθετήριο DSpace/Manakin

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dc.contributor.author Κανέλλος, Γεώργιος el
dc.contributor.author Kanellos, Georgios en
dc.date.accessioned 2015-01-28T13:48:33Z
dc.date.available 2015-01-28T13:48:33Z
dc.date.issued 2015-01-28
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/40172
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.7627
dc.rights Default License
dc.subject ΕΚΕ el
dc.subject CSR en
dc.subject Πολυκριτηριακή βελτιστοποίηση el
dc.subject Μέτωπο Pareto el
dc.subject ε-constraint en
dc.subject Βιώσιμη ανάπτυξη el
dc.subject Multiobjective optimization en
dc.subject Pareto front en
dc.subject Sustainable development en
dc.title Μελέτη ευστάθειας στην επιλογή επενδυτικών σχεδίων με πολυκριτηριακό προγραμματισμό λαμβάνοντας υπόψη και την εταιρική περιβαλλοντική ευθύνη el
heal.type bachelorThesis
heal.classification Πολυκριτηριακός προγραμματισμός el
heal.language el
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2014-10-29
heal.abstract An enterprise is a financial unit that uses the factors of production as well as trading operations in order to achieve maximum profit. The achieved profit must in general be greater than the amounts of salary paid for labor. According to this definition it becomes clear that the financial sector of an enterprise has been the keystone for its growth and success. However, nowadays this traditional approach has been supplemented by the notion that an enterprise must engage in other non-profit seeking activities that have environmental and social merits. This notion is formally expressed through the concept of corporate social responsibility (CSR). Throughout this thesis, a multi-criteria optimization problem is being studied, where a financial institution (decision maker) wants to select between a group of enterprises applying for financial support. The target is to simultaneously maximize the total return of investment and total EECR of the portfolio, subject to policy constraints. Thus, we are looking for the optimal enterprise portfolio. This is an integer programming problem, as the variables used are binary, referring to whether the i-firm is selected to get financial support. In order to gain a better understanding of the problem we reviewed the existing literature about multi-criteria optimization problems as well as the existing methods for solving them. We used the AUGMECON method, an improved version of the ε-constraint method, for solving the problem and for its implementation we utilized the GAMS modeling system. Finally, the Monte Carlo method was used in order to exhibit and manage the randomness of the input data. By applying this method, many important conclusions are drawn. en
heal.advisorName Ψαρράς, Ιωάννης el
heal.committeeMemberName Ψαρράς, Ιωάννης el
heal.committeeMemberName Ασκούνης, Δημήτριος el
heal.committeeMemberName Μαυρωτάς, Γεώργιος el
heal.academicPublisher Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Ηλεκτρικών Βιομηχανικών Διατάξεων και Συστημάτων Αποφάσεων el
heal.academicPublisherID ntua
heal.numberOfPages 91 σ.
heal.fullTextAvailability true


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