Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming

Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the incineration plant is to maximize desirable outputs (heat and power) and minimize undesirable outputs (emissions and bottom ash). Therefore,...

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Vydáno v:	Annals of operations research Ročník 267; číslo 1-2; s. 467 - 491
Hlavní autoři:	Petridis, Konstantinos, Dey, Prasanta Kumar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.08.2018 Springer Springer Nature B.V
Témata:	Ashes Business and Management Combinatorics Combustion Data analysis Data envelopment analysis Decision analysis Decision making Environmental impact Goal programming Incineration Incinerators Integer programming Linear programming Management Mixed integer Multiple Objective Optimization Operations research Operations Research/Decision Theory Operators Optimization Performance enhancement Performance evaluation Power consumption Studies Theory of Computation Waste disposal Waste management Waste management industry Greece United Kingdom > UK DEA MILP Incineration plants Waste to energy Goal programming
ISSN:	0254-5330, 1572-9338
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Abstract	Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the incineration plant is to maximize desirable outputs (heat and power) and minimize undesirable outputs (emissions and bottom ash). Therefore, studying the overall impact of incineration plants in a region so as to maximize the benefits and minimize the environmental impact is significant. Majority of prior works focus on plant specific decision making issues including performance analysis. This study proposes a hybrid data envelopment analysis (DEA), goal programming (GP) and mixed integer linear programming (MILP) model to assess the performance of incineration plants, in a specific region, to enhance overall power production, consumption of waste and reduction of emissions. This model not only helps the plant operators to evaluate the effectiveness of incineration but also facilitates the policy makers to plan for overall waste management of the region through decision-making on adding and closing plants on the basis of their efficiency. Majority of prior studies on incineration plants emphasize on how to improve their performance on heat and power production and neglect the waste management aspects. Additionally, optimizing benefits and minimizing negative outputs through fixing targets in order to make decision on shutting down the suboptimal plants has not been modeled in prior research. This research combines both the aspects and addresses the overall performance enhancement of incineration plants within a region from both policy makers and plant operators’ perspectives. The proposed combined DEA, GP and MILP model enables to optimize incineration plants performance within a region by deriving efficiency of each plant and identifying plants to close down on the basis of their performance. The proposed model has been applied to a group of 22 incineration plants in the UK using secondary data in order to demonstrate the effectiveness of the model.
AbstractList	Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the incineration plant is to maximize desirable outputs (heat and power) and minimize undesirable outputs (emissions and bottom ash). Therefore, studying the overall impact of incineration plants in a region so as to maximize the benefits and minimize the environmental impact is significant. Majority of prior works focus on plant specific decision making issues including performance analysis. This study proposes a hybrid data envelopment analysis (DEA), goal programming (GP) and mixed integer linear programming (MILP) model to assess the performance of incineration plants, in a specific region, to enhance overall power production, consumption of waste and reduction of emissions. This model not only helps the plant operators to evaluate the effectiveness of incineration but also facilitates the policy makers to plan for overall waste management of the region through decision-making on adding and closing plants on the basis of their efficiency. Majority of prior studies on incineration plants emphasize on how to improve their performance on heat and power production and neglect the waste management aspects. Additionally, optimizing benefits and minimizing negative outputs through fixing targets in order to make decision on shutting down the suboptimal plants has not been modeled in prior research. This research combines both the aspects and addresses the overall performance enhancement of incineration plants within a region from both policy makers and plant operators' perspectives. The proposed combined DEA, GP and MILP model enables to optimize incineration plants performance within a region by deriving efficiency of each plant and identifying plants to close down on the basis of their performance. The proposed model has been applied to a group of 22 incineration plants in the UK using secondary data in order to demonstrate the effectiveness of the model.
Audience	Academic
Author	Petridis, Konstantinos Dey, Prasanta Kumar
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CitedBy_id	crossref_primary_10_1016_j_cie_2018_11_010 crossref_primary_10_1108_TQM_10_2019_0243 crossref_primary_10_3390_en14061720 crossref_primary_10_1007_s10479_018_2974_0 crossref_primary_10_1016_j_ribaf_2022_101633 crossref_primary_10_1016_j_eti_2025_104219 crossref_primary_10_1016_j_chemosphere_2024_142044
Cites_doi	10.1016/j.omega.2012.09.006 10.1016/S0959-6526(00)00084-6 10.1016/j.ejor.2010.11.013 10.1016/S1352-2310(01)00267-9 10.1287/mnsc.27.6.668 10.1016/j.cor.2005.06.012 10.1016/j.wasman.2009.12.015 10.1016/j.seps.2008.02.008 10.1007/s11123-013-0341-3 10.1016/j.wasman.2013.08.001 10.1016/j.eneco.2010.07.008 10.1016/j.wasman.2007.08.010 10.1016/j.wasman.2011.01.019 10.1016/j.wasman.2012.02.002 10.1016/j.energy.2012.03.048 10.1177/0734242X08095025 10.1016/j.enpol.2010.10.038 10.1016/j.jenvman.2009.04.012 10.1016/S0921-3449(98)00036-6 10.1016/j.wasman.2010.02.002 10.1016/S0956-053X(03)00126-0 10.1016/j.enpol.2014.06.023 10.1016/j.resconrec.2010.05.003 10.1016/j.resconrec.2007.01.002 10.1016/j.desal.2009.01.029 10.1016/j.wasman.2011.11.007 10.1016/S0045-6535(02)00627-6 10.1016/S0921-3449(98)00031-7 10.1016/j.wasman.2010.01.039 10.1016/j.wasman.2012.05.021 10.1016/j.energy.2010.09.005 10.1016/j.cor.2015.03.012 10.1016/j.enpol.2009.11.017 10.1016/j.energy.2012.10.049 10.1016/S0921-3449(02)00076-9 10.1016/j.resconrec.2008.02.001 10.1016/j.ejor.2012.11.019 10.1016/j.energy.2013.06.052 10.1016/j.resconrec.2013.08.006 10.1016/j.energy.2008.08.023 10.1016/j.cor.2014.05.003 10.1007/BF01874734 10.1016/j.jenvman.2011.08.011 10.2298/YJOR121221015I
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Snippet	Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the...
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SubjectTerms	Ashes Business and Management Combinatorics Combustion Data analysis Data envelopment analysis Decision analysis Decision making Environmental impact Goal programming Incineration Incinerators Integer programming Linear programming Management Mixed integer Multiple Objective Optimization Operations research Operations Research/Decision Theory Operators Optimization Performance enhancement Performance evaluation Power consumption Studies Theory of Computation Waste disposal Waste management Waste management industry
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Title	Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming
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