Software Support for Sustainable Supply Chain Configuration and Management. Rizzoli, A. E., Montemanni, R., Bettoni, A., & Canetta, L. In Hilty, L. M. & Aebischer, B., editors, ICT Innovations for Sustainability, volume 310, of Advances in Intelligent Systems and Computing, pages 271–283. Springer International Publishing.
Software Support for Sustainable Supply Chain Configuration and Management [link]Paper  doi  abstract   bibtex   
A methodology for the inclusion of sustainability assessment in the design of supply chains is introduced, with the aim of taking into account a sustainability perspective in logistics and industrial allocation choices. The presented approach is based on the initial collection and organization of data related to all stages of the product life cycle and of the possible alternative choices to be made for each production and transport stage. An optimization algorithm is then used to prune the space of alternative solutions and an advanced and flexible graphical user interface allows the exploration of the solution space.
@incollection{rizzoliSoftwareSupportSustainable2015,
  title = {Software Support for Sustainable Supply Chain Configuration and Management},
  booktitle = {{{ICT Innovations}} for {{Sustainability}}},
  author = {Rizzoli, Andrea E. and Montemanni, Roberto and Bettoni, Andrea and Canetta, Luca},
  editor = {Hilty, Lorenz M. and Aebischer, Bernard},
  date = {2015},
  volume = {310},
  pages = {271--283},
  publisher = {{Springer International Publishing}},
  doi = {10.1007/978-3-319-09228-7\\_16},
  url = {https://doi.org/10.1007/978-3-319-09228-7_16},
  abstract = {A methodology for the inclusion of sustainability assessment in the design of supply chains is introduced, with the aim of taking into account a sustainability perspective in logistics and industrial allocation choices. The presented approach is based on the initial collection and organization of data related to all stages of the product life cycle and of the possible alternative choices to be made for each production and transport stage. An optimization algorithm is then used to prune the space of alternative solutions and an advanced and flexible graphical user interface allows the exploration of the solution space.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13423276,~to-add-doi-URL,assessment,modelling,supply-chain,sustainability},
  series = {Advances in {{Intelligent Systems}} and {{Computing}}}
}
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