Multi-objective agent-based modeling of single-stream recycling programs

Xiaoran Shi, Aristotelis E. Thanos, Nurcin Celik

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


In this research, our goal is to develop an agent-based simulation-based decision making framework for the effective planning of single-stream recycling (SSR) programs. The proposed framework is comprised of two main modules: a structured database and a simulation module. The database houses data necessary for simulating the entire solid waste management (SWM) system. The simulation module performs two major tasks. First, it identifies the various sources of system uncertainties and incorporates them into the SSR simulation model. Second, it compares and evaluates the alternatives of SSR (i.e., dual-stream recycling) with respect to cost, bottleneck facilities, and types and capacities of the processing facilities needed. For demonstration purposes, the proposed framework is applied to the state of Florida which has set a goal of reaching a 75% recycling rate by 2020. The proposed framework is a powerful tool that can be used by stakeholders for the evaluation of several "what-if" scenarios in their system before reaching a conclusion and making a decision.

Original languageEnglish (US)
Pages (from-to)190-205
Number of pages16
JournalResources, Conservation and Recycling
StatePublished - Nov 2014


  • Modeling of large-scale modular system
  • Single-stream recycling
  • Solid waste management

ASJC Scopus subject areas

  • Waste Management and Disposal
  • Economics and Econometrics


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