Modeling Multi-Objective Facility Location Allocation Problems within Green Logistics Network Design

Sustainable supply chain management (SSCM) has been of considerable interest for the last decade. In order to model a multi-echelon logistics network with emission consideration, a multi-objective facility location model for a multi-echelon green logistics network is proposed. The objectives of the model are (i) minimizing total logistics cost and (ii) minimizing total amount of greenhouse gas emission. Besides, return hauls are considered simultaneously. The model is solved with ɛ-constraint method. To demonstrate the applicability and effectiveness of the proposed model, the computational results derived from CPLEX based on a test case are also presented. Moreover, sensitivity analysis on parameter is performed. The results indicate that the model serves as an efficient tool for handling the issue of sustainable supply chain construction.

• Record URL:
  https://doi.org/10.1061/9780784479292.064
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479292
• Supplemental Notes:
  • © 2015 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhu, Lan
  • Hu, Da-wei
  • Zhao, Rao
• Conference:
  • 15th COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2015-7-24 to 2015-7-27
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 694-704
• Monograph Title: CICTP 2015: Efficient, Safe, and Green Multimodal Transportation

Subject/Index Terms

• TRT Terms: Costs; Environmental protection; Freight traffic; Greenhouse gases; Pollutants; Supply chain management; Sustainable development
• Subject Areas: Environment; Freight Transportation; I15: Environment;

Filing Info

• Accession Number: 01574637
• Record Type: Publication
• ISBN: 9780784479292
• Files: TRIS, ASCE
• Created Date: Jul 22 2015 3:02PM