ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-11182013-214700


Tipo di tesi
Tesi di laurea magistrale
Autore
CINTI, LUCA
URN
etd-11182013-214700
Titolo
Development of a framework to estimate cost of disposal
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Relatori
relatore Prof. Dini, Gino
Parole chiave
  • Nessuna parola chiave trovata
Data inizio appello
04/12/2013
Consultabilità
Completa
Riassunto
Defence industries are very willing to grow their knowledge on the subject of Cost of Disposal. Indeed, they have a requirement to gain a greater understanding of the Cost of Disposal, in order to secure future contracts with MoD in the UK, which ranges across land, sea and air projects.
In response, the purpose of this study is to develop a Generic Framework for Estimation of the Cost of Disposal, identifying all requirements, inputs and best practices techniques for a major defence company.
Current cost estimation methods appear to miss out some of the uncertainties involved, or simply assumes a triangular distribution with a default setting of plus or minus 10%. In order to address this current poor consideration of all cost uncertainties, more than 200 academic papers have been reviewed to develop a structured Framework, which provides the necessary level of information to generate a more appropriate evaluation of the true Cost of Disposal for a range of industries, including Defence, Aerospace, Marine, Nuclear, Oil & Chemical and Automotive.
In this study, Uncertainty and Risk Analysis has been more fully embedded in the concept framework to better capture a greater number of Disposal Cost implications, whilst allowing comparison of differing cost scenarios. This will naturally improve the decision-making throughout the product Whole Life Cycle.
Furthermore, this project analysed a number of real case scenarios from the Aerospace industry, so as to test the tools validity, thanks to the collaboration of senior decision-makers in the field. This process will provide the user company with a better understanding of the framework capabilities and, consequently, a greater confidence in Cost of Disposal predictions.

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