A Multi-Echelon Supply Chain Model for Sustainable Electricity Generation from Municipal Solid Waste

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

doi:10.1016/j.ifacol.2019.06.130

A Multi-Echelon Supply Chain Model for Sustainable Electricity Generation from Municipal Solid Waste

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

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

2 Citations (Scopus)

28 Downloads (Pure)

Abstract

This paper addresses a mixed integer linear programming model for the optimal utilization of municipal solid waste in a multi-echelon supply chain network. The model focuses on tactical and operational level decisions including the supply, production, and distribution. It aims to maximize the annual net profit by optimizing the choice of waste-to-energy technologies through observing the related capacity and environmental constraints and market demands. The proposed sustainable waste management model not only reduces the burden on the environment, but also optimally distributes the solid waste through the system and converts it into electricity, thus contributing towards energy supply. Sensitivity analyses are conducted to investigate the effects of changes in waste separation rate, energy conversion rate, and energy efficiencies on the system performance and on the environment. The model is solved using
GAMS/CPLEX.

Original language	English
Pages (from-to)	610-615
Journal	IFAC-PapersOnLine
Volume	52
Issue number	1
DOIs	https://doi.org/10.1016/j.ifacol.2019.06.130
Publication status	Published - 2019
MoE publication type	A4 Article in a conference publication
Event	IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Florianopolis, Brazil Duration: 23 Apr 2019 → 26 Apr 2019 Conference number: 12 http://dycopscab2019.sites.ufsc.br/ http://dycopscab2019.sites.ufsc.br/index.html

Keywords

Waste management
Supply chain management
municipal solid waste
waste-to-energy
Mixed integer linear programming
Sustainability

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Cite this

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title = "A Multi-Echelon Supply Chain Model for Sustainable Electricity Generation from Municipal Solid Waste",

abstract = "This paper addresses a mixed integer linear programming model for the optimal utilization of municipal solid waste in a multi-echelon supply chain network. The model focuses on tactical and operational level decisions including the supply, production, and distribution. It aims to maximize the annual net profit by optimizing the choice of waste-to-energy technologies through observing the related capacity and environmental constraints and market demands. The proposed sustainable waste management model not only reduces the burden on the environment, but also optimally distributes the solid waste through the system and converts it into electricity, thus contributing towards energy supply. Sensitivity analyses are conducted to investigate the effects of changes in waste separation rate, energy conversion rate, and energy efficiencies on the system performance and on the environment. The model is solved using GAMS/CPLEX.",

keywords = "Waste management, Supply chain management, municipal solid waste, waste-to-energy, Mixed integer linear programming, Sustainability",

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

note = "HUOM! Lehden artikkeleista voi tallentaa lopullisen, julkaistun version ACRISiin. ; IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS ; Conference date: 23-04-2019 Through 26-04-2019",

year = "2019",

doi = "10.1016/j.ifacol.2019.06.130",

language = "English",

volume = "52",

pages = "610--615",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

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TY - JOUR

T1 - A Multi-Echelon Supply Chain Model for Sustainable Electricity Generation from Municipal Solid Waste

AU - Mohammadi, Maryam

AU - Jämsä-Jounela, Sirkka-Liisa

AU - Harjunkoski, Iiro

N1 - Conference code: 12

PY - 2019

Y1 - 2019

N2 - This paper addresses a mixed integer linear programming model for the optimal utilization of municipal solid waste in a multi-echelon supply chain network. The model focuses on tactical and operational level decisions including the supply, production, and distribution. It aims to maximize the annual net profit by optimizing the choice of waste-to-energy technologies through observing the related capacity and environmental constraints and market demands. The proposed sustainable waste management model not only reduces the burden on the environment, but also optimally distributes the solid waste through the system and converts it into electricity, thus contributing towards energy supply. Sensitivity analyses are conducted to investigate the effects of changes in waste separation rate, energy conversion rate, and energy efficiencies on the system performance and on the environment. The model is solved using GAMS/CPLEX.

AB - This paper addresses a mixed integer linear programming model for the optimal utilization of municipal solid waste in a multi-echelon supply chain network. The model focuses on tactical and operational level decisions including the supply, production, and distribution. It aims to maximize the annual net profit by optimizing the choice of waste-to-energy technologies through observing the related capacity and environmental constraints and market demands. The proposed sustainable waste management model not only reduces the burden on the environment, but also optimally distributes the solid waste through the system and converts it into electricity, thus contributing towards energy supply. Sensitivity analyses are conducted to investigate the effects of changes in waste separation rate, energy conversion rate, and energy efficiencies on the system performance and on the environment. The model is solved using GAMS/CPLEX.

KW - Waste management

KW - Supply chain management

KW - municipal solid waste

KW - waste-to-energy

KW - Mixed integer linear programming

KW - Sustainability

U2 - 10.1016/j.ifacol.2019.06.130

DO - 10.1016/j.ifacol.2019.06.130

M3 - Conference article

VL - 52

SP - 610

EP - 615

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 1

T2 - IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems

Y2 - 23 April 2019 through 26 April 2019

ER -