Commenced in January 2007
Paper Count: 30121
Planning a Supply Chain with Risk and Environmental Objectives
Abstract:The main objective of the current work is to introduce sustainability factors in optimizing the supply chain model for process industries. The supply chain models are normally based on purely economic considerations related to costs and profits. To account for sustainability, two additional factors have been introduced; environment and risk. A supply chain for an entire petroleum organization has been considered for implementing and testing the proposed optimization models. The environmental and risk factors were introduced as indicators reflecting the anticipated impact of the optimal production scenarios on sustainability. The aggregation method used in extending the single objective function to multi-objective function is proven to be quite effective in balancing the contribution of each objective term. The results indicate that introducing sustainability factor would slightly reduce the economic benefit while improving the environmental and risk reduction performances of the process industries.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1125883Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 929
 Al-Othman, W. B. E., Lababidi, H. M. S., Alatiqi, I. M., & Al-Shayji, K. Supply chain optimization of petroleum organization under uncertainty in market demands and prices. European Journal of Operational Research, 189(3), pp: 822–840, 2008.
 Arnette, A., Barry L. Brewer, B., & Choal, T., Design for sustainability (DFS): the intersection of supply chain and environment. Journal of Cleaner Production, 83, pp 374-390, 2014.
 Sharrat, P., Environmental Criteria in Design. Computers & Chemical Engineering, 23, pp. 1469-1475, 1999.
 Young, D.M. & Cabezas, H., Designing Sustainable Process with Simulation: The Waste Reduction (WAR) Algorithm. Computers & Chemical Engineering, 23, pp 1477-1491, 1999.
 Azapagic, A. & Clift, R., Life Cycle Assessment and Multiobjective Optimization. Journal of Cleaner Production, 7, pp. 135-143, 1999.
 Aresta, M. & Galatola, M., Life Cycle Analysis Applied to the Assessment of Environmental Impact of Alternative Synthesis Processes. The Dimethicarbonate Case: Part 1. Journal of Cleaner Production, 7, pp. 181-193, 1999.
 Gunasekera, M.Y. & Edwards, D.W., Assessing the Inherent Atmospheric Environmental Friendliness of Chemical Process Routes: An Unsteady State Distribution Approach for a Catastrophic Release. Computers & Chemical Engineering, 30, pp. 744-757, 2006.
 Guillén-Gosalbez, G., A novel MILP-based objective reduction method for multi-objective optimization: Application to environmental problems. Computers and Chemical Engineering. 35, pp 1469– 1477, 2011
 Pinto-Varela, T., Barbosa-Póvoa, A., & Novais, A., Bi-objective optimization approach to the design and planning of supply chains: Economic versus environmental performances. Computers and Chemical Engineering, 35, pp 1454– 1468, 2011.
 Chaabane, A., Ramudhin, A., & M. Paquet, M., Design of sustainable supply chains under the emission trading scheme. Int. J. Production Economics, 135, pp 37–49, 2012.
 Lee, C.F., Lim, S.J. & Lewis, C., Devising an Integrated Methodology for Analyzing Energy Use and CO2 Emissions from Taiwan's Petrochemical Industries. Journal of Environmental Management. 63, pp. 377-386, 2001.
 Hutchins, M.J., Sutherland, J.W., An exploration of measures of social sustainability and their application to supply chain decisions. Journal of Cleaner Production, 16, pp. 1688–1698, 2008.
 Ward, P.B., Analyzing the Past, Planning the Future, for the Hazard of Management. Process Safety and Environmental Protection, 81(B1), pp. 47-54, Jan. 2002.
 Al-Sharrah, G.K., Edwards, D. & Hankinson, G., A New Safety Risk Index for Use in Petrochemical Planning. Process Safety and Environmental Protection, 85(B6), pp. 533-540, 2007.
 Al-Sharrah, G.K., Hankinson, G. & Elkamel, A., Decision- Making for Petrochemical Planning Using Multiobjectives and Strategic Tools. Chemical Engineering Research and Design. 84(A11), 1019, 2006.
 Energy Information Administration (EIA). Energy-Related Carbon Dioxide Emission in U.S. Manufacturing Mark Schipper. Report #: DOE/EIA-0573(2005).
 de Beer, J., Phylipsen, D. & Bates, J., Economic Evaluation of Sectoral Emission Reduction Objectives for Climate Change. Economic Evaluation of Carbon Dioxideand Nitrous Oxide Emission Reductions in Industry in the EU. Bottom-up AnalysisFinal Report, January 2001. http://europa.eu.int/comm/environment/enveco
 Prpic-Orsic, J. and Faltinsen, O. M., Estimation of ship speed loss and associated CO2 emissions in a seaway. Ocean Engineering.44, pp: 1–10, 2012.
 Mallidis, I., Dekker, R., Vlachos, D., The impact of greening on supply chain design and cost: a case for a developing region. Journal of Transport Geography. 22, pp.118–128, 2012.
 Brooke, A., Kendrik, D., Meeraus, A., “GAMS User’s Guide”, boyd & fraser publishing company, Massachusetts, 1992.
 Pitty, S.S., Li, W., Adhitya, A., Srinivasan, R., Karimi, I.A., Decision support for integrated refinery supply chainsPart 1. Dynamic simulation. Computers and Chemical Engineering, 32, pp. 2767–2786, 2008.