Simulation Software as a Tool for Supply Chain Analysis and Improvement
Computer Science and Information Systems, Tome 13 (2016) no. 3.

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Effective decision making in the automotive supply chain is complex, due to the increasing number of suppliers and customers who form part of it. For this reason, the use of tools that allow to improve the performance of the supply chain is necessary. Simulation Software is one of these tools. Therefore, in this paper a simulation model to improve the performance of an automotive supply chain is developed. Using sensitivity analysis, this study finds the values that allow the supply chain to improve its order fulfilment indicator. In the sensitivity analysis, the variables Cycle Time, Production Adjustment Time, Delivery Time, Raw Material Inventory, and Finished Good Inventory, were modified. The results show that: 1) in the base line scenario, only the 78.85% of the orders are fulfilled, and 2) to fulfil the 100% of the orders Cycle Time, Production Adjustment Time, and Delivery Time must be reduced to one week.
Keywords: simulation software, supply chain automotive, decision making
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     author = {Cuauht\'emoc S\'anchez Ram{\'\i}rez and Dulce Roc{\'\i}o Mota L\'opez and Giner Alor Hern\'andez and Jorge Luis Garc{\'\i}a Alcaraz and Diego Alfredo Tlapa Mendoza},
     title = {Simulation {Software} as a {Tool} for {Supply} {Chain} {Analysis} and {Improvement}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {13},
     number = {3},
     year = {2016},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2016_13_3_a14/}
}
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%A Diego Alfredo Tlapa Mendoza
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Cuauhtémoc Sánchez Ramírez; Dulce Rocío Mota López; Giner Alor Hernández; Jorge Luis García Alcaraz; Diego Alfredo Tlapa Mendoza. Simulation Software as a Tool for Supply Chain Analysis and Improvement. Computer Science and Information Systems, Tome 13 (2016) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2016_13_3_a14/