Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach
Cedillo Campos, M. y Sánchez Ramírez, C. (2013) Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach. Journal of Applied Research and Technology, 11 (3). pp. 338-347. ISSN 16656423
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Resumen
A dynamic self-assessment of performance on supply chains operating in emerging markets is proposed. Based on wellestablished key performance indicators (KPI), this paper provides a decision support aid. Although it has been validated in the automotive industry, the standardized model’s approach makes it applicable to other industries. It is the result of a large literature review and identification of best practices from the automotive industry in which the lack of dynamic tools to evaluate logistics performance of suitable supply chains to the current competitive exchange rate was detected. Developed under a system dynamics approach (DS), the model analyzes different scenarios taking into account KPI and its dynamic relationships. The results obtained were validated through the statistical technique of design of experiments (DOE). This model also considers the specific features of the automotive operations in emerging countries as well as their importance in the future development of the manufacturing industry. In this context, the tool exposed is a key backup to decision making and to dynamically evaluate the variables with major influence on manufacturing supply chains. As a conclusion, findings are discussed and future researches are presented.
Tipo de elemento: | Article | |||||||||
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Palabras claves no controlados: | Cadena de suministro; Medición del desempeño; Dinámica de sistemas; Industria automotriz; Mercados emergentes. | |||||||||
Materias: | H Ciencias sociales > HD Industrias, Economía Laboral y Agraria | |||||||||
Divisiones: | Ingeniería Mecánica y Eléctrica | |||||||||
Usuario depositante: | Editor Repositorio | |||||||||
Creadores: |
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Fecha del depósito: | 04 Oct 2024 19:35 | |||||||||
Última modificación: | 04 Oct 2024 19:35 | |||||||||
URI: | http://eprints.uanl.mx/id/eprint/28166 |
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