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Optimal Project Portfolio Execution: Computer Implementation of Models and Simulation Framework
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis work presents both mathematical models and a simulation approach to get more insight to the R&D Project Portfolio Execution problem. It gives special care to finding the optimal number of projects to run simultaneously in a portfolio in order to get the maximum monetary gain, and give the factors that affect the most this number. This report tries as well to give the best simulation of resources behaviour inside an R&D department, and takes a stage-gate model for the projects. The proposed mathematical model is a Non-Linear Mixed Integer Program that is hard to solve. A simplification lead to a less complicated Mixed Integer Program that is easier to solve. But in order to have an insight of the whole complexity of the problem, a simulation platform has been implemented. Thanks to its low computation cost, it allowed to have a big number of simulations and draw some conclusions about the initial question. The simulation platform also allows to see the influence of different factors on the number of projects that should be executed in parallel in R &D departments, which was hard to do using the mathematical models.


Abstract [sv]

Detta examensarbete presenterar både matematiska modeller och en simuleringsplattform för att få mer insikt i R & D Project Portfolio Execution problem. Målet är att beräkna det optimala antalet projekt att köra samtidigt i en portfölj och hitta de faktorer som har störst påverkan på detta. Rapporten försöker också att ge den bästa simuleringen av resursersbeteende i R & D avdelningar. Den föreslagna matematiska modellen är ett icke-linjärt Mixed Integer Program som är svårt att lösa. En simplifiering leder till en mindre komplicerad Mixed Integer Program som är lättare att lösa, men för att få en inblick i hela problemets komplexitet har en simuleringsplattform implementerats. Tack vare dess låga beräkningskostnad, är det möjligt att köra ett stort antal simuleringar och dra vissa slutsatser om den inledande frågan. Användandet av en simuleringsplattform gör det också möjligt att se påverkan av olika faktorer på antalet projekt som ska köras parallellt i R & D -avdelningar, som hade varit svårt att göra med matematisk modellering.

Place, publisher, year, edition, pages
TRITA-MAT-E, 2014:09
National Category
URN: urn:nbn:se:kth:diva-140505OAI: diva2:690725
Subject / course
Optimization and Systems Theory
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2014-01-24 Created: 2014-01-24 Last updated: 2014-01-24Bibliographically approved

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