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<xml><records><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcus Brandenburg</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects</style></title></titles><keywords><keyword><style face="normal" font="default" size="100%">Supply chain management</style></keyword><keyword><style face="normal" font="default" size="100%">Supply chain risks</style></keyword><keyword><style face="normal" font="default" size="100%">Carbon emissions</style></keyword><keyword><style face="normal" font="default" size="100%">Discrete-event simulation</style></keyword><keyword><style face="normal" font="default" size="100%">Analytic hierarchy process</style></keyword><keyword><style face="normal" font="default" size="100%">Fast moving consumer goods</style></keyword></keywords><dates><year><style face="normal" font="default" size="100%">2017</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Omega</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S0305048316305990</style></urls><keyword><style face="normal" font="default" size="100%"/></keyword><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.omega.2016.09.002</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">58-76</style></pages><volume><style face="normal" font="default" size="100%">70</style></volume><abstract><style face="normal" font="default" size="100%">Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental risks. Discrete-event simulation is applied to assess the financial, operational and environmental performance of different SC configuration options while the value-at-risk concept is adapted to evaluate related SC risks. The analytic hierarchy process is employed to solve the resulting multi-criteria decision problem of choosing the best option. The approach is illustrated at a case example of a fast moving consumer goods manufacturer.</style></abstract></record></records></xml>
