Robust Car Sequencing Problem: Description, models and metrics
| Autor: | Joaquín Bautista-Valhondo |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses, Universitat Politècnica de Catalunya. OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids |
| Rok vydání: | 2019 |
| Předmět: |
Integer linear programming model
Car Sequencing Problem Mathematical optimization Assembly lines Production Mix Problem description Optimization problem Computer science Enginyeria mecànica::Disseny i construcció de vehicles [Àrees temàtiques de la UPC] Robust optimization Robust Optimization Sistemes de producció flexibles General Business Management and Accounting Demand uncertainty Vehicle Fleets Robustness (computer science) Sequencing Manufacturing processes |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| ISSN: | 2171-6323 1132-175X |
| DOI: | 10.37610/dyo.v0i68.555 |
| Popis: | The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and functions to measure the excess of optional requirements in production programs. These functions are valid as objectives in optimization problems and as multi-sequence pro-duction robustness metrics. Keywords : Assembly lines, Sequencing, Car Sequencing Problem, Vehicle Fleets, Robust Optimization, Production Mix, Demand uncertainty. |
| Databáze: | OpenAIRE |
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