@article{112,
  keywords = {Supply chain management, Supply chain risks, Carbon emissions, Discrete-event simulation, Analytic hierarchy process, Fast moving consumer goods},
  author = {Marcus Brandenburg},
  title = {A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects},
  abstract = {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.},
  year = {2017},
  booktitle = {Omega},
  journal = {Omega},
  volume = {70},
  pages = {58-76},
  issn = {0305-0483},
  url = {https://www.sciencedirect.com/science/article/pii/S0305048316305990},
  doi = {10.1016/j.omega.2016.09.002},
}