A multi-stage decision framework for managing hazardous waste logistics with random release dates

Tasouji Hassanpour S., Ke G. Y., Zhao J., Tulett D. M.

Expert Systems with Applications, vol.232, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 232
  • Publication Date: 2023
  • Doi Number: 10.1016/j.eswa.2023.120750
  • Journal Name: Expert Systems with Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Hazardous waste, Location–routing–inventory problem, Multi-stage decision-making, Random release date, Risk-aversion
  • Istanbul Technical University Affiliated: No


This research develops a multi-stage decision framework for a three-tier collection network for hazardous waste considering random release dates. Applying a cost-based clustering approach, the first stage decisions involve locating the transfer stations and allocating generation nodes to the chosen facilities. The corresponding results, along with a subjective risk-aversion concept and estimated release dates, are utilized to generate an a priori collection plan, which can be further revised once the actual release dates are realized. We performed sensitivity analyses on important model elements, including the subjective risk-aversion parameter and vehicle capacity for collection tours. Our findings indicate that depending on the subjective perspective of the collector, deviations from the original scheduled plan can be a positive or negative phenomenon. For an optimistic decision-maker, adaption to the realized deviations necessitates accepting additional total risk. On the other hand, a pessimistic decision-maker is more likely to benefit from deviations. The findings can provide relevant authorities with practical and realistic strategic and operational decisions.