Interpretive Structural Model of Key Performance Indicators for Sustainable Manufacturing Evaluation in Cement Industry

This paper aims to analyze the relationships among the Key Performance Indicators (KPIs) for sustainable manufacturing evaluation in the cement industry. The initial KPIs have been identified and derived from literature, and then validated by industry survey. As a result, three factors dividing into a total of thirteen indicators have been proposed as the KPIs for sustainable manufacturing evaluation in cement industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs. The results show the indicators of economic factor are regarded as the basic indicator, while the indicators of environmental factor are indicated to be the leading indicator. Of those indicators, raw material substitution is regarded as the most influencing indicator. The ISM model can aid the cement companies by providing a better insight in evaluating sustainable manufacturing performance

Interpretive Structural Model of Key Performance Indicators for Sustainable Manufacturing Evaluation in Cement Industry

This paper aims to analyze the relationships among the Key Performance Indicators (KPIs) for sustainable manufacturing evaluation in the cement industry. The initial KPIs have been identified and derived from literature, and then validated by industry survey. As a result, three factors dividing into a total of thirteen indicators have been proposed as the KPIs for sustainable manufacturing evaluation in cement industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs. The results show the indicators of economic factor are regarded as the basic indicator, while the indicators of environmental factor are indicated to be the leading indicator. Of those indicators, raw material substitution is regarded as the most influencing indicator. The ISM model can aid the cement companies by providing a better insight in evaluating sustainable manufacturing performance

Diseño de una metodología de control de modelos dinámicos de inventarios multi-producto, basada en la teoría de control predictivo, para reducción de costo de inventarios en procesos con dinámicas de abastecimiento variables

Las grandes pérdidas económicas generadas por la variabilidad de los factores que inciden en la gestión de inventarios son consideradas uno de los problemas de mayor impacto en los sistemas productivos. En esta investigación se propone una metodología basada en modelos de control predictivos (MPC), para la gestión de materias primas, productos en proceso y productos terminados, en busca de minimizar los costos y aumentar el nivel de servicio, para procesos multi-producto, con demanda estocástica y lead time variable. Con el objetivo de validar la metodología propuesta, se proponen procesos de referencia para los sistemas Job Shop (JS) y Flexible Flow Shop (FFS), los cuales son simulados mediante modelos dinámicos para la implementación de la metodología propuesta y la comparación con estrategias clásicas de control. Los desempeños de las metodologías son comparados, demostrando ventajas las estrategias predictivas.MaestríaMagister en Ingeniería Industria