Investing in logistics facilities today to reduce routing emissions tomorrow

The authors investigate the trade-off between strategic investment in facilities and the long-term environmental impact of daily logistics operations. For that purpose, the authors consider a bi-objective location-routing problem with the objectives of minimising the cost of strategic investments such as locating facilities and acquiring different types of vehicles, and minimising pollution by using CO₂ emissions as an indicator. A set of representative days of operations are used to estimate the long-term environmental impact. After modelling that problem as a mixed-integer program, the authors develop a decomposition approach that constructs routes, then uses them in a separate set covering model to generate complete solutions. The suitability of the authors' approach is investigated on benchmark test instances as well as on a case study in the city of Vienna. Experiments show that the authors' approach is a valuable tool in aiding such long-term decisions.

• Record URL:
  https://doi.org/10.1016/j.trb.2017.03.006
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0191261516304726
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Tricoire, Fabien
  • Parragh, Sophie N
• Publication Date: 2017-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 56-67
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 103
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Carbon dioxide; Case studies; Environmental impacts; Facilities; Investments; Location; Logistics; Mixed integer programming; Pollutants; Routing
• Geographic Terms: Vienna (Austria)
• Subject Areas: Environment; Freight Transportation; Highways; Planning and Forecasting; Terminals and Facilities;

Filing Info

• Accession Number: 01644250
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2017 10:07AM