Modelación de aspectos ambientales en la cadena de suministro del bioetanol

  • Danny Ibarra Escuela de Ciencias Exactas en Ingeniería, Universidad Sergio Arboleda, Bogotá, Colombia.
  • Johan Manuel Redondo Escuela de Ciencias Exactas en Ingeniería, Universidad Sergio Arboleda, Bogotá, Colombia.
  • Carlos Fajardo Universidad El Bosque. Bogotá, Colombia
Palabras clave: Dinámica de Sistemas, cadenas de suministro, medio ambiente, bioetanol.

Resumen

En este artículo se ha construido un modelo en el que se incluye algunos aspectos ambientales, asociados a la cadena de suministro de bioetanol en Colombia, tales como vinazas, bagazo de caña y emisiones de CO2, teniendo en cuenta que una de las orientaciones más importantes en la actualidad para que una empresa sea competitiva, es la gerencia de la cadena de suministro verde o sostenible. Dicha cadena es de naturaleza dinámica, por las relaciones complejas entre las partes asociadas y el flujo constante de información, bienes y materiales. Por esto se utilizó la metodología de análisis basada en la dinámica de sistemas, la cual resulta de mucha utilidad para abordar problemas complejos y sistémicos, en  que se asocian variables externas como las ambientales, logrando entender mejor y haciendo la toma de decisiones más acertada. Este trabajo muestra a través de las simulaciones que es necesario vincular estrategias de gestión ambiental en la cadena de suministro de bioetanol, para mitigar el impacto ambiental causado por sus residuos.

In this paper has been constructed a model that includes some environmental issues, associated with the supply chain of bioetanol in Colombia, such as stillage, bagasse and CO2 emissions. Considering that one of the most important issues today for  company to be competitive, is the management of the supply chain, withth is one of the fundamental pillars to ensure the promise of value offered to customers. The chainis dynamic in nature, by the complex relation ships between the partner sand the constant flow of information, good sand materials. Therefore, it used the analysis methodology based on system dynamics, that is very useful in addressing complex and systemic problems in the associated external and environmental variables, achieving better understanding and making decisions more accurate. This paper shows, through simulations, that it isnecessary to link environmental management strategies in the bioethanol supply chain to mitigate the environmental impact caused by his waste.

Citas

ASOCAÑA. Aspectos Generales del Sector Azucarero Colombiano 2011 - 2012 Informe Anual. 2012. Disponible en: http://www.asocana.org/modules/documentos/9771.aspx

ASLAN, B., STEVENSON, M., and HENDRY, L.C. Enterprise Resource Planning Systems: An Assessment of Applicability to Make-to-Order Companies. Computers in Industry, 2012 vol. 63, no. 7, pp. 692-705.

CAMPUZANO, F., MULA, J., and PEIDRO, D. FUZZY Estimations and System Dynamics for Improving Supply Chains. Fuzzy Sets and Systems, 2012, vol. 161, no. 11, pp.1530-1542.

EPA -Environmental Agency Protection.Emissions factors & ap 42, compilation of air pollutant emission factors. 2000. Disponible en:http://www.epa.gov/ttnchie1/ap42

FORRESTER, J. Industrial Dynamics. Pegasus Communications.1999 Inc. Waltham.

FORRESTER, J. Urban Dynamics. Pegasus Communications.1969 Inc. Waltham. Fedebiocombustibles. Cifras Informativas del Sector Biocombustibles. Etanol de caña anhidro. 2013. Disponible en: http://www.fedebiocombustibles.com/files/Cifras%20Informativas%20del%20Sector%20Biocombustibles%20-%20ETANOL(55).pdf

GAINES, B.R. Knowledge-Support Systems. Knowledge-Based Systems, 1990. vol. 3, no. 4, pp. 192-203.

GEORGIADIS, P., and BESIOU, M. Sustainability in Electrical and Electronic Equipment ClosedLoop Supply Chains: A System Dynamics Approach. Journal of Cleaner Production, 2008, vol. 16, no. 15, pp. 1665-1678.

GEORGIADIS, P., VLACHOS, D., and IAKOVOU, E. A System Dynamics Modeling Framework for the Strategic Supply Chain Management of Food Chains. Journal of Food Engineering, 2005 vol. 70, no. 3, pp.351-364.

GÓMEZ, J., SAMANIEGO, J., and ANTONISSEN, M. Consideraciones Ambientales en torno a los Biocombustibles Líquidos. Santiago de Chile: CEPAL 2008 Serie Medio Ambiente y Desarrollo, no. 137.

HEISKANEN, E., and JALAS, M. Dematerialization through Services: A Review and Evaluation of the Debate. Ministry of the Environment Helsinki 2000.

KOMOTO, H.M., et al. Life Cycle Simulation for Analyzing Product Service Systems. Environmentally Conscious Design and Inverse Manufacturing, EcoDesign 2005. In: Fourth International Symposium (2005: Tokyo, Japan) pp. 386-393.

LIZCANO, P., and MORA, L.M. Las Vinazas de Destilería de Alcohol. Contaminación Ambiental o Tratamiento para Evitarlo. In: VIII Encuentro de Nutrición y Producción de Animales Monogástricos (2005).

MINEGISHI, S., and THIEL, D. System Dynamics Modeling and Simulation of a Particular Food Supply Chain.Simulation Practice and Theory, 2000, vol. 8, no. 5, pp. 321–339.

NAIM, M.M. The Impact of the Net Present Value on the Assessment of the Dynamic Performance of E-Commerce Enabled Supply Chains. International Journal of Production Economics, 2006, vol. 104, no.2, pp. 382-393.

NUNES, V.T., SANTORO, F. M., and BORGES, M.R. A Context-Based Model for Knowledge Management Embodied in Work Processes. Information Sciences, 2009 vol. 179, no. 15, pp. 2538-2554.

ÖZBAYRAK, M., PAPADOPOULOU, T.C., and AKGUN, M. Systems Dynamics Modelling of a Manufacturing Supply Chain System. Simulation Modelling Practice and Theory, 2007, vol. 15, no. 10, pp. 1338-1355.

PORTER, Michael. What Is Strategy? Harvard Business Review, 1995, vol. 74, no.6, 61-78.

PORTER, M.E., and VAN DER LINDE, Claas. Green and Competitive: Ending the Stalemate. Harvard Business Review,1995, vol. 73, no.5, pp.120-134.

RAMÍREZ, S., et al. Impacto en las decisiones de la cadena de suministros de una empresa de confección de prendas deportiva acuáticas con la utilización de dinámica de sistemas. Revista Ingeniería Industrial, 2010, Año 9, no. 1, pp.67 – 85, Chile.

SAEED, K. Trend Forecasting for Stability in Supply Chains. Journal of Business Research, 2008Vol. 61, No. 11, pp. 1113-1124.

SARKIS, J. A Strategic Decision Making Framework for Green Supply Chain Management. Journal of Cleaner Production, 2003, vol. 11, no. 4, pp. 397–409.

SPRINGER, M., and KIM, I. Managing the Order Pipeline to Reduce Supply Chain Volatility. European Journal of Operational Research, 2010, vol. 203, no. 2, pp. 380-392.

SRIVASTAVA, S. Green Supply-Chain Management: A State-of-the-Art Literature Review. International Journal of Management Reviews, 2007 Vol. 9, No. 1, pp. 53-80.

STERMAN, J.D. Business Dynamics, Systems Thinking and Modelling for a Complex World. McGraw Hill. 2000.

SU, Y., and YANG, C. Why are Enterprise Resource Planning Systems Indispensable to Supply Chain Management? European Journal of Operational Research, 2010, vol. 203, pp. 81–94.

TAKO, A., and ROBINSON, S. The Application of Discrete Event Simulation and System Dynamics in the Logistics and Supply Chain Context. Decision Support Systems, 2012, vol. 52, no. 4, pp. 802-815.

TOWILL, D. Industrial Dynamics Modelling of Supply Chains. International Journal of Physical Distribution & Logistics Management, 1995, vol. 26, no. 2, pp. 23–42.

VERBRAECK, A., and VAN HOUTEN, S. From Simulation to Gaming: an Object Oriented Supply Chain Training Library. In Proceedings of the Winter Simulation Conference (2005) pp. 2346-2354.

VLACHOS, D., GEORGIADIS, P., and IAKOVOU, E.A System Dynamics Model for Dynamic Capacity Planning of Remanufacturing In Closed-Loop Supply Chains. Computers & Operations Research, 2007, vol. 34, no. 2, pp.367-394.

ZHAI, L.; KHOO, L., and ZHONG, Z. Design Concept Evaluation in Product Development using ough Sets and Grey Relation Analysis. Expert systems with applications, 2009, vol. 36, no. 3, pp. 7072-7079.
Publicado
2013-07-31
Sección
Artículos

Agencias de apoyo