Publication Type | Thesis |
Year of Publication | 2024 |
Authors | Daniel Ramón Lumbierres |
Academic Department | Dept. Statistics and Operations Research |
Number of Pages | 124 |
University | Universitat Politècnica de Catalunya |
City | Barcelona |
Degree | PhD Thesis |
Key Words | supply chain; postponement; stochastic programming; research |
Abstract | Speculation i Postponement son estratègies oposades de cadena de subministrament dirigides a avançar o postposar els processos de producción que transformen matèries primeres en productes acabats. Un Punt de Desacoblament d’Ordres de Consumidor, o CODP, és un punt logístic de la cadena on la producció especulativa és emmagatzemada fins a l’arribada d’ordres de demanda, de manera que el posicionament de CODPs caracteritza l’estratègia associada a la cadena de subministrament. Es presenten dos models d’optimització per decidir el Disseny en Xarxa de Cadena de Subministrament òptim i la seva estrategia Speculation – Postponement associada mitjançant un enfoc d’optimització estocástica en dues etapes: el primer model, anomenat ( |
URL | Click Here |
Export | Tagged XML BibTex |
doctorate
Speculation – postponement strategies in supply chain network design problems: a modelling framework for new supply chain strategies through stochastic optimization
Thu, 10/24/2024 - 12:05 — adminMultistage Scenario Trees Generation for Renewable Energy Systems Optimization
Mon, 11/30/2020 - 19:17 — adminPublication Type | Thesis |
Year of Publication | 2020 |
Authors | Marlyn Dayana Cuadrado Guevara |
Academic Department | Dept. of Statistics and Operations Research. Prof. F.-Javier Heredia, advisor. |
Number of Pages | 194 |
University | Universitat Politècnica de Catalunya |
City | Barcelona |
Degree | PhD Thesis |
Key Words | research; Battery energy storage systems; Electricity markets; Ancillary services market; Wind power generation; Virtual power plants; Multistage Stochastic programming; phd thesis |
Abstract | The presence of renewables in energy systems optimization have generated a high level of uncertainty in the data, which has led to a need for applying stochastic optimization to modelling problems with this characteristic. The method followed in this thesis is Multistage Stochastic Programming (MSP). Central to MSP is the idea of representing uncertainty (which, in this case, is modelled with a stochastic process) using scenario trees. In this thesis, we developed a methodology that starts with available historical data; generates a set of scenarios for each random variable of the MSP model; defines individual scenarios that are used to build the initial stochastic process (as a fan or an initial scenario tree); and builds the final scenario trees that are the approximation of the stochastic process. |
URL | Click Here |
Export | Tagged XML BibTex |
Congratulations Dr. Cristina Corchero!
Thu, 02/03/2011 - 16:45 — adminYesterday February 2 my doctorate student, and friend, Cristina Corchero presented her Ph. D. dissertation on optimal bids in electricity markets. Dr. Corchero developed stochastic programming optimization models to find the optimal bid curve that integrates bilateral and future contractes in the sequence of short-term MIBEL's electricity markets.
The members of the examination panel were prof. Stein-Erik Fleten , from the Norwegian University of Science and Technology, prof. Andres Ramos from the Universidad Pontificia de Comillas and prof. Jordi Castro, from the Universitat Politècnica de Catalunya. After a very interesting discussion they agreed to give the maximum qualification, Cum Laude, to the research work of Ms. Corchero. I would like to thank the members of the examination committe for their interesting comments and analysis of the thesis contributions. I'm also very grateful with prof. Pilar Muñoz and prof. Marcos J. Rider for their collaboration in the supervision of the thesis.
And, of course, my most sinceres congratulations to Dr. Cristina Corchero.