Supply chain design using a modified IWD algorithm
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Redalyc
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad de Antioquia
2017
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| _version_ | 1876475633254531072 |
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| author | Luis Antonio Moncayo-Martínez |
| author_facet | Luis Antonio Moncayo-Martínez |
| contents | Supply chain design using a modified IWD algorithm Luis Antonio Moncayo-Martínez Ingeniería Pareto frontier Supply chain design water drop intelligence The Intelligent Water Drop (IWD) algorithm is inspired by the movement of real water drops in a river. A water drop could find an optimum path to a lake or sea by interacting with the conditions of its surroundings. In the process of reaching such destination, the water drops interact with the river bed while they move through it. Similarly, the supply chain problem can be modelled as a flow of supply, manufacturing, and delivery stages that must be completed to produce a finished product and then to deliver it to the end user. The problem is to select one option that carries out the stage, e.g. for a supply stage, many suppliers could supply the component represented by it. As each stage is characterised by its time and cost, multi--objective optimisation algorithm is used to minimise the time to market and production cost, simultaneously. Focusing on this analogy, this paper proposes an approach to the supply chain problem using a multi--objective extension to the intelligent water drops algorithm. Artificial water drops, flowing through the supply chain, will simultaneously minimise the production cost and the time to market of every product in a generic BOM by using the concept of Pareto optimality. A widely-used notebook supply chain in literature is solved. We provide some performance metrics of the solution and compare the Pareto set computed by the proposed algorithm with the one returned by exhaustive enumeration. 2017 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43052680002 https://www.redalyc.org/journal/430/43052680002/ https://www.redalyc.org/journal/430/43052680002/html/ https://www.redalyc.org/journal/430/43052680002/43052680002.epub https://www.redalyc.org/journal/430/43052680002/movil en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.84 |
| format | Artículo científico |
| id | redalyc_43052680002 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad de Antioquia |
| spellingShingle | Supply chain design using a modified IWD algorithm Luis Antonio Moncayo-Martínez Ingeniería Pareto frontier Supply chain design water drop intelligence Supply chain design using a modified IWD algorithm Luis Antonio Moncayo-Martínez Ingeniería Pareto frontier Supply chain design water drop intelligence The Intelligent Water Drop (IWD) algorithm is inspired by the movement of real water drops in a river. A water drop could find an optimum path to a lake or sea by interacting with the conditions of its surroundings. In the process of reaching such destination, the water drops interact with the river bed while they move through it. Similarly, the supply chain problem can be modelled as a flow of supply, manufacturing, and delivery stages that must be completed to produce a finished product and then to deliver it to the end user. The problem is to select one option that carries out the stage, e.g. for a supply stage, many suppliers could supply the component represented by it. As each stage is characterised by its time and cost, multi--objective optimisation algorithm is used to minimise the time to market and production cost, simultaneously. Focusing on this analogy, this paper proposes an approach to the supply chain problem using a multi--objective extension to the intelligent water drops algorithm. Artificial water drops, flowing through the supply chain, will simultaneously minimise the production cost and the time to market of every product in a generic BOM by using the concept of Pareto optimality. A widely-used notebook supply chain in literature is solved. We provide some performance metrics of the solution and compare the Pareto set computed by the proposed algorithm with the one returned by exhaustive enumeration. 2017 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43052680002 https://www.redalyc.org/journal/430/43052680002/ https://www.redalyc.org/journal/430/43052680002/html/ https://www.redalyc.org/journal/430/43052680002/43052680002.epub https://www.redalyc.org/journal/430/43052680002/movil en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.84 |
| title | Supply chain design using a modified IWD algorithm |
| topic | Ingeniería Pareto frontier Supply chain design water drop intelligence |
| url | https://www.redalyc.org/articulo.oa?id=43052680002 https://www.redalyc.org/journal/430/43052680002/ https://www.redalyc.org/journal/430/43052680002/html/ https://www.redalyc.org/journal/430/43052680002/43052680002.epub https://www.redalyc.org/journal/430/43052680002/movil |