umu.sePublications
Change search
ReferencesLink to record
Permanent link

Direct link
Optimizing production line sequence to minimize waste: A paint shop problem
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In the competitive automobile manufacturing industry only the most efficient and profitable companies will survive. Companies search for ways to cut costs and increase production without lower their standards of quality. In the field of optimization research such problems can be formulated as combinatorial optimization problems. The Car Sequencing problem (CSP) tries to find the optimal production sequence which increases the number of produced units. Parrello et al. (1986) where the first one to formulate the problem with respect to an assembly line in a automobile factory. Volvo GTO in Umeå desires to minimize their paint consumption in the paint shop. By formulating paint process in the top coat, which is the last part of the paint shop, as a Integer Linear Program the number of color changes can be minimized. Hence the paint consumption is reduced which leads to lower costs. Using a greedy approach while simulating the process the number of color changes can be reduced based on historical data. This result is based on a somewhat simplified model of a real life problem. The number of parameters in the model can be increased to reflect the complexity of the paint shop. The purpose of this thesis is to present a way to decrease the paint consumption

Place, publisher, year, edition, pages
2016.
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-114409OAI: oai:DiVA.org:umu-114409DiVA: diva2:895267
External cooperation
Volvo GTO Umeå
Educational program
Master of Science in Engineering and Management
Supervisors
Examiners
Available from: 2016-01-25 Created: 2016-01-18 Last updated: 2016-01-25Bibliographically approved

Open Access in DiVA

No full text

By organisation
Department of Mathematics and Mathematical Statistics
Other Mathematics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 278 hits
ReferencesLink to record
Permanent link

Direct link