Document Type

Thesis

Date of Award

5-31-1985

Degree Name

Master of Science in Management Engineering - (M.S.)

Department

Industrial and Management Engineering

First Advisor

James L. Rigassio

Abstract

The development of new products is a very important task for any company, since the survival of most of the companies depends on their ability to introduce new products on the market. This is not, by all means, an easy task; it is seen from the large number of unsuccessful new products reported.

It is been proved that out of every ten products which emerge from Research and Development(R & D), only two become successes. For reasons like the one mentioned and because larger and larger funds are allocated to R & D, it is a very important task to develop a method for selecting development projects which would discard non successful projects as early as possible.

The data objective of my thesis is to develop such a method with the quantitative information available from my employer's data and from other different firms.

hUe result is an analytical solution which has been given to the case considering a technical and commercial uncertainties and these uncertainties are represented by probability distributions.

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