Optimal planning of a waste management supply chain

Research output: Contribution to journalConference articleScientificpeer-review

Researchers

Research units

  • ABB Corporate Research, Heidelberg

Abstract

In this paper, a mixed integer linear programming (MILP) model for the optimization of a municipal solid waste (MSW) system in a supply chain (SC) network is presented with the aim of maximizing the total net profit over a specified time horizon. The proposed model covers waste collection at sites, separation at dumps, and processing for waste recycling and waste to energy (WtE) production at plants, as well as selling the end products. A case study is illustrated to demonstrate the feature and validity of the model. MSWs including biomass materials such as paper and food waste, non-biomass combustible materials such as plastic, and non-combustible materials such as glass and metal are managed by a combination of disposal in landfill sites, recycling to produce useful products, and incineration to produce power.

Details

Original languageEnglish
Pages (from-to)1609-1614
Number of pages6
JournalComputer Aided Chemical Engineering
Volume44
Early online date2018
Publication statusPublished - Jan 2018
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Process Systems Engineering - San Diego, San Diego , United States
Duration: 1 Jul 20185 Jul 2018
Conference number: 13
https://pse2018.org/

    Research areas

  • municipal solid waste, supply chain, mixed integer linear programming

ID: 21495046