A decision making tool for assessment of leasing policies of a satellite operator

Sarri, E; Papavassilopoulos, GP

dc.contributor.author	Sarri, E	en
dc.contributor.author	Papavassilopoulos, GP	en
dc.date.accessioned	2014-03-01T02:50:17Z
dc.date.available	2014-03-01T02:50:17Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35033
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84857747509&partnerID=40&md5=ab33f346930441c08ee9df730c52204d	en
dc.subject	Leasing policies	en
dc.subject	Modelling	en
dc.subject	Satellite communications	en
dc.subject	Stochastic optimization	en
dc.subject.other	Decision making tool	en
dc.subject.other	Different services	en
dc.subject.other	Modelling	en
dc.subject.other	Real situation	en
dc.subject.other	Satellite communications	en
dc.subject.other	Satellite operators	en
dc.subject.other	Statistical characteristics	en
dc.subject.other	Stochastic optimizations	en
dc.subject.other	Decision trees	en
dc.subject.other	Optimization	en
dc.subject.other	Profitability	en
dc.subject.other	Satellite communication systems	en
dc.subject.other	Satellites	en
dc.subject.other	Decision making	en
dc.title	A decision making tool for assessment of leasing policies of a satellite operator	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	This paper presents the results of a study concerning the evaluation of different decisions of a Satellite Operator leasing capacity to different customers requesting different services. The study was done for Hellas-Sat (the Greek satellite operator) and addresses a real situation. Data concerning demands of several customers were collected using those available in particular organizations and corresponding to the area that Hellas-Sat covers. These data was first classified and statistically treated. Second a decision tree has been created where the statistical characteristics taken from the first part of the study, were used in order to derive optimal leasing policies/scenarios and characterize them in terms of both profit and risk. The final outcome is a decision making tool which can be used by a Satellite Operator in order to evaluate possible states, profits and associated risks. © ECMS, 2006.	en
heal.journalName	20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006	en
dc.identifier.spage	349	en
dc.identifier.epage	353	en