Internal logistics optimization in the automotive industry
This thesis focus on internal logistics flows (ILF), which is defined as the flows of materials inside the same business or the same plant. Precisely, this work approaches the ILF of SEAT, a company in the Volkswagen group. So, a set of Operational Research or Business Analytics based methods is pre...
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| Format: | doctoral thesis |
| Status: | Published version |
| Publication Date: | 2020 |
| Country: | España |
| Institution: | CBUC, CESCA |
| Repository: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/668492 |
| Online Access: | http://hdl.handle.net/10803/668492 |
| Access Level: | Open access |
| Keyword: | Logistics Automotive industry Metaheuristics Integer programming Combinatorial optimization Discrete-event simulation Logística Industria automotora Metaheurísticas Programación entera Optimización combinatoria Simulación de eventos discretos 62 |
| Summary: | This thesis focus on internal logistics flows (ILF), which is defined as the flows of materials inside the same business or the same plant. Precisely, this work approaches the ILF of SEAT, a company in the Volkswagen group. So, a set of Operational Research or Business Analytics based methods is presented. These methods contribute both to enrich the literature and provide useful techniques to the industry. Those methods refer to new mathematical formulations, Iterated Local Search metaheuristics, simulation models applications as well as a data set. So, the main purpose of this work is providing suitable methods to face internal logistics routing problems in car-assembling companies. Moreover, these methods were developed and applied considering the SEAT's workshop and data. The results expose several opportunities that can improve the company's logistics operations as well as reducing some operational costs. The study was presented to the company's employees that found it interesting and appropriate. |
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