Dissertation/ Thesis
Port optimization: the integrated berth allocation and crane assignment problem
| Title: | Port optimization: the integrated berth allocation and crane assignment problem |
|---|---|
| Authors: | Salvà Soler, Joan |
| Contributors: | Castro Pérez, Jordi, Puy Enfedaque, Andrés, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
| Source: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Publisher Information: | Universitat Politècnica de Catalunya, 2022. |
| Publication Year: | 2022 |
| Subject Terms: | Classificació AMS::90 Operations research, Genetic Algorithm, Programming (Mathematics), mathematical programming::90C Mathematical programming, Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització, 90 Operations research, mathematical programming::90C Mathematical programming [Classificació AMS], Crane assignment, Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming, Berth allocation, Mixed-Integer Programming, 68 Computer science::68W Algorithms [Classificació AMS], Classificació AMS::68 Computer science::68W Algorithms, Port optimization, Algorismes genètics, Programació (Matemàtica), Matemàtiques i estadística::Investigació operativa::Optimització [Àrees temàtiques de la UPC] |
| Description: | Port logistics play a key role in today's global economy, and improving its efficiency has been a subject of research for the past two decades. The Berth Allocation and Crane Assignment problem consists in deciding the location of incoming vessels in a port and defining a crane schedule to serve them. We consider a version of the problem that conceives distinguishable cranes and multiple materials. In this research we give a MILP formulation of the problem and design a Genetic Algorithm that we use for speeding up an exact solver (CPLEX) and for solving large instances that are intractable in an exact way. |
| Document Type: | Bachelor thesis |
| File Description: | application/pdf |
| Language: | English |
| Access URL: | https://hdl.handle.net/2117/362540 http://hdl.handle.net/2117/362540 |
| Accession Number: | edsair.dedup.wf.002..e5e67288b10cfe58e2ef711cc949aabb |
| Database: | OpenAIRE |
| Description not available. |