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Miguel Gastón Cedillo-Campos

Researcher at Universidad Autónoma de Nuevo León

Publications -  35
Citations -  552

Miguel Gastón Cedillo-Campos is an academic researcher from Universidad Autónoma de Nuevo León. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 12, co-authored 32 publications receiving 466 citations.

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Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts

TL;DR: In this article, a system dynamics model is proposed to analyze the effects of the materialization and simultaneous propagation of disruptions produced by terrorist acts on global supply chains performance, and the impact on inventory levels in the supply chain can increase 600% compared to normal operating conditions as a result of increasing the security measures on international borders.
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Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico

TL;DR: In this paper, the authors developed a System Dynamics model based on an idea suggested by SENER (Secretariat of Energy in Mexico), and evaluated the availability of area for the sowing of sugarcane and grain sorghum crops, the production capacity for ethanol and fuel, as well as the possible reduction of carbon dioxide emissions.
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Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach

TL;DR: In this paper, a dynamic self-assessment of performance on supply chains operating in emerging markets is proposed based on well-established key performance indicators (KPI), which provides a decision support aid.
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The role of knowledge management in supply chain management: A literature review

TL;DR: In this paper, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain area, and knowledge management processes.
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Supply chain dynamics and the “cross-border effect”: The U.S.–Mexican border’s case

TL;DR: A system dynamics model is proposed for analyzing the uncertainty caused by delays and disruptions at the U.S.–Mexican border, and how their effects propagate through the cross-border supply chains, based on an auto-industry case study.