Optimizing reverse logistics network for lithium ion battery recycling under uncertainties of price and feedstock volume

CMI researchers from University of Arizona conducted the activity for this highlight

Innovation 
Used a two-stage stochastic optimization model, with the objective of maximizing profit in the United States, to optimize the reverse logistics network under price and feedstock volume uncertainties. 

Significance and Impact

  • Without government incentives,   the recycling industry may expect $3.5 to $3.7 billion profit over the next 10 years by recycling 57% of the available feedstock.
  • Mandating 90% spent battery collection would result in a negative profit and increased feedstock collection of 93%.

Hub Target Addressed 

  • Developing criticality assessments and supply chain analysis tools
  • Assessing economic impacts