dor_id: 45633

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/296/293

100.1.#.a: Campos, M Cedillo; Ramírez, C Sánchez

524.#.#.a: Campos, M Cedillo, et al. (2013). Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach. Journal of Applied Research and Technology; Vol. 11 Núm. 3. Recuperado de https://repositorio.unam.mx/contenidos/45633

245.1.0.a: Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2013

264.#.1.c: 2013-06-01

653.#.#.a: supply chain; performance measurement; system dynamics; automotive industry; emerging markets

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: A dynamic self-assessment of performance on supply chains operating in emerging markets is proposed. Based on wellestablishedkey performance indicators (KPI), this paper provides a decision support aid. Although it has been validatedin the automotive industry, the standardized model’s approach makes it applicable to other industries. It is the result of alarge literature review and identification of best practices from the automotive industry in which the lack of dynamic toolsto 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 andits 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 astheir importance in the future development of the manufacturing industry. In this context, the tool exposed is a keybackup to decision making and to dynamically evaluate the variables with major influence on manufacturing supplychains. As a conclusion, findings are discussed and future researches are presented.

773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 3

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(13)71544-X

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach

Campos, M Cedillo; Ramírez, C Sánchez

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Campos, M Cedillo, et al. (2013). Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach. Journal of Applied Research and Technology; Vol. 11 Núm. 3. Recuperado de https://repositorio.unam.mx/contenidos/45633

Descripción del recurso

Autor(es)
Campos, M Cedillo; Ramírez, C Sánchez
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach
Fecha
2013-06-01
Resumen
A dynamic self-assessment of performance on supply chains operating in emerging markets is proposed. Based on wellestablishedkey performance indicators (KPI), this paper provides a decision support aid. Although it has been validatedin the automotive industry, the standardized model’s approach makes it applicable to other industries. It is the result of alarge literature review and identification of best practices from the automotive industry in which the lack of dynamic toolsto 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 andits 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 astheir importance in the future development of the manufacturing industry. In this context, the tool exposed is a keybackup to decision making and to dynamically evaluate the variables with major influence on manufacturing supplychains. As a conclusion, findings are discussed and future researches are presented.
Tema
supply chain; performance measurement; system dynamics; automotive industry; emerging markets
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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