Multi-objective optimization of environmentally conscious chemical supply chains under demand uncertainty

In this work, we analyze the effect of demand uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear program (MILP) with the unique feature of incorporating explicitly the demand uncertainty using scenarios with given probability of occurrence. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

Modelo de negocio para mejorar la competitividad de la cadena productiva del cuy en Lambayeque-Perú

El principal problema que atraviesan los pequeños productores en la región Lambayeque y en su mayoría a nivel nacional es el bajo nivel de competitividad en sus respectivas cadenas productivas, esto se debe a que no cuentan con una adecuada gestión asociativa y empresarial, desconocen técnicas en manejos productivo y presentan deficiente articulación comercial teniendo como efecto directo bajos niveles de calidad de vida. La presente investigación tiene como objetivo principal plantear un modelo de negocio para mejorar la competitividad de la cadena productiva del cuy en una organización cooperativa de productores de cuyes del distrito de Mórrope, identificando los factores que determinan la competitividad, además plasmando los diversos elementos, componentes, estrategias y actividades que se unen para concretar el objetivo principal. Se presentará un diagnóstico inicial de la Cooperativa en estudio, los datos obtenidos son resultado de visitas y talleres con los asociados quienes respondieron a una encuesta y entrevistas, así mismo para el diagnóstico regional de la cadena del cuy se realizó la búsqueda de información primaria y secundaria, reforzado con entrevistas a especialistas del tema a nivel regional. Finalmente se utilizó la herramienta del marco lógico y del lienzo de modelo de negocio “Canvas” para plasmar la propuesta de mejora de la competitividad en beneficio de la cooperativa en estudio y que servirá como base para replicarse en otras organizaciones siendo acompañada de propuestas reales, validadas por especialistas.