Optimal planning of a waste management supply chain

Maryam Mohammadi; Iiro Harjunkoski; Susanna Mikkola; Sirkka-Liisa Jämsä-Jounela

doi:10.1016/B978-0-444-64241-7.50263-9

Optimal planning of a waste management supply chain

Maryam Mohammadi, Iiro Harjunkoski, Susanna Mikkola, Sirkka-Liisa Jämsä-Jounela

Research output: Contribution to journal › Conference article › Scientific › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1609-1614
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	44
Early online date	2018
DOIs	https://doi.org/10.1016/B978-0-444-64241-7.50263-9
Publication status	Published - Jan 2018
MoE publication type	A4 Article in a conference publication
Event	International Symposium on Process Systems Engineering - San Diego, San Diego , United States Duration: 1 Jul 2018 → 5 Jul 2018 Conference number: 13 https://pse2018.org/

Keywords

municipal solid waste
supply chain
mixed integer linear programming

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title = "Optimal planning of a waste management supply chain",

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.",

keywords = "municipal solid waste, supply chain, mixed integer linear programming",

author = "Maryam Mohammadi and Iiro Harjunkoski and Susanna Mikkola and Sirkka-Liisa J{\"a}ms{\"a}-Jounela",

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year = "2018",

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doi = "10.1016/B978-0-444-64241-7.50263-9",

language = "English",

volume = "44",

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TY - JOUR

T1 - Optimal planning of a waste management supply chain

AU - Mohammadi, Maryam

AU - Harjunkoski, Iiro

AU - Mikkola, Susanna

AU - Jämsä-Jounela, Sirkka-Liisa

N1 - Conference code: 13

PY - 2018/1

Y1 - 2018/1

N2 - 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.

AB - 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.

KW - municipal solid waste

KW - supply chain

KW - mixed integer linear programming

U2 - 10.1016/B978-0-444-64241-7.50263-9

DO - 10.1016/B978-0-444-64241-7.50263-9

M3 - Conference article

VL - 44

SP - 1609

EP - 1614

JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

SN - 1570-7946

T2 - International Symposium on Process Systems Engineering

Y2 - 1 July 2018 through 5 July 2018

ER -