search query: @keyword monikriteerinen päätöksenteko / total: 6
reference: 3 / 6
« previous | next »
Author:Määttä, Ossi
Title:Monitavoiteoptimoinnin soveltaminen teollisuuslaitosinvestointien vertailussa
Applying multiobjective optimization to production plant investment comparison
Publication type:Master's thesis
Publication year:2009
Pages:xi + 147 (+11)      Language:   fin
Department/School:Biotekniikan ja kemian tekniikan laitos
Main subject:Tehdassuunnittelu   (Kem-107)
Supervisor:Hurme, Markku
Instructor:Keskinen, Kari I.
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark TKK  4209   | Archive
Keywords:multiobjective optimization
multiple criteria decision making
sustainability
monitavoiteoptimointi
monikriteerinen päätöksenteko
kestävä kehitys
Abstract (eng): Production plant investment decisions are typically based on multiple criteria.
These criteria include profitability, technological performance, occupational health, safety and environmental responsibility.
Finding a composite measure for all the criteria is often a difficult task.
Multiobjective optimization is a discipline that studies optimal choices between often conflicting criteria.

Applying multiobjective optimization to process investment comparison is examined in this master's thesis.
The literature part deals first with indicators developed to estimate the abovementioned criteria.
These indicators are often index-based.
The next section examines matters to be taken into account in multiple criteria decision making.
These include for example strategic basis for investment criteria, goal levels, correlation of criteria, decision-making biases and statistical uncertainty.
In the next section a wide variety of suitable multiobjective optimization methods is presented.

In the applied part of the thesis a systemic framework for multiobjective production plant investment evaluation has been developed.
The core of the method is to evaluate Aspen Plus modelled processes with index-based indicators.
Index values are optimized by changing simulation parameters with a multiple objective genetic algorithm.
The developed method was first tested by optimizing reboiler duty and sidedraw separation efficiency in a fractionating column.
After this the method was applied to study a biomass pyrolysis process investment.
Abstract (fin): Teollisuuslaitosinvestointeja vertaillessa tehdään tyypillisesti arviointeja useasta eri näkökulmasta.
Arviointikriteerejä ovat esimerkiksi kannattavuus, teknologinen suorituskyky, turvallisuus, työterveys ja ympäristöystävällisyys.
Kriteerejä on usein vaikea yhdistää yhdellä suureella mitattaviksi.
Monitavoiteoptimointi on tieteenala, jonka avulla voidaan arvioida usein ristiriitaisiakin kriteerejä samanaikaisesti.

Tässä diplomityössä tarkasteltiin monitavoiteoptimointimenetelmien soveltuvuutta prosessilaitosinvestointien arviointiin.
Teoriaosassa on käsitelty aluksi indikaattoreita, joiden avulla voidaan mitata edellä mainittuja kriteerejä.
Useat näistä ovat erilaisia indeksejä.
Seuraavaksi on käyty läpi monikriteerisessä investointipäätöksessä huomioon otettavia seikkoja, kuten kriteerien yritysstrategiset perusteet, tavoitetasot, kriteerien korrelaatio, päätökseen vaikuttavat tekijät ja tilastollisen epävarmuuden käsittely.
Seuraavaksi on esitelty laaja-alaisesti prosessi-investointien arviointiin soveltuvia monitavoiteoptimointimenetelmiä.

Soveltavassa osassa kehitettiin viitekehys prosessi-investointien monitavoitteelliseen tarkasteluun.
Sen ytimenä on arvioida Aspen Plus -simulaattorilla mallinnettuja prosesseja indeksipohjaisilla indikaattoreilla.
Indikaattorien arvoja pyritään parantamaan muuttamalla simulointiparametreja monitavoitteisella geneettisellä algoritmilla.
Kehitetty menetelmä testattiin ensin jakotislauskolonnin leikkaustarkkuuden ja tehonkulutuksen optimoinnilla.
Tämän jälkeen menetelmää sovellettiin biomassan pyrolyysiprosessin investoinnin arviointiin.
ED:2009-12-11
INSSI record number: 38661
+ add basket
« previous | next »
INSSI