Design of Sustainable Urban Electronic Grocery Distribution Network

Details

• Creators:
  Kaisar, Evangelos I. ; Golias, Mihalis M. ; Mishra, Sabyasachee ; Hourdos, John ; Liu, Dan
• Corporate Creators:
  Florida Atlantic University. Freight Mobility Research Institute
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Grocery stores
  • Electronic commerce
  • Delivery service
  • Autonomous vehicles
  • Sustainable transportation
  • Urban areas
  • Location based services
  • Routing
  • E-grocery delivery network
  • Autonomous delivery robot
  More +
• Publication/ Report Number:
  FMRI-Y4R4- 20
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Freight Mobility Research Institute. Florida Atlantic University
• Abstract:
  To meet the expectation of multi-modal distributions from customers for last-mile delivery, a sustainable two-echelon E-Grocery delivery system is studied, which is motivated by the adaption of autonomous delivery robot (ADRs), parcel lockers in E-Grocery distribution industry. We formulate the multi-modal last mile system as a two-echelon location-routing problem with mixed vehicles and mixed satellites (2E-LRP-MVMS). A multi-objective optimization model is developed to capture the characteristics of cost components and environmental impact. The goal of the 2E-LRP-MVMS is to determine the location facilities, to optimize the number of parcels delivered to two echelons and routes at each level, also to reduce costs caused by carbon emissions. A hybrid immune algorithm is proposed, and two improved steps, vaccination and immunization are introduced in the algorithm. This research contributes to the last-mile delivery network design domain by modeling the environmental and economic cost of E-Grocery distribution adopting mixed fleets and mixed satellites.
• Format:
  PDF
• Funding:
  69A3551747120
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/80556/dot_80556_DS1.pdf
• File Type:
  [PDF - 1.10 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:631e797ff7ffa43dbd13d102205c3422ebb54c07a38c970abf89ece7be9aab56670656ce8d40299bed0bf0010f563afc3f90c7a98b96ae75d543c8d42e7ca584