Optimisation of safety stocks in multi-echelon supply chains with stochastic demand and lead times
The purpose of this master dissertation is to find and analyse the behaviour of a proposed model in single echelon and multiple echelons with stochastic demand and lead time under minimum total expected cost and the maximum CSL level. After that, some changes are proposed and analysed to find how th...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/167729 |
| Acceso en línea: | https://hdl.handle.net/2117/167729 |
| Access Level: | acceso abierto |
| Palabra clave: | Inventory control Business logistics -- Management supply chain management, single-echelon, multiple-echelon, stochastic demand, programming, design of scenarios Gestió d'estocs Logística (Indústria) -- Direcció i administració Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions |
| Sumario: | The purpose of this master dissertation is to find and analyse the behaviour of a proposed model in single echelon and multiple echelons with stochastic demand and lead time under minimum total expected cost and the maximum CSL level. After that, some changes are proposed and analysed to find how the system reacts to them and how much improvement they generate. Arena Software is used to programme the scenarios proposed and examined the behaviour of the stock evolution during an entire year with a maximum of fifty different replications. |
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