Please use this identifier to cite or link to this item:
Title: Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming
Authors: Petridis, Konstantinos
Dey, Prasanta Kumar
Type: Article
Subjects: FRASCATI::Engineering and technology::Environmental engineering
FRASCATI::Natural sciences::Mathematics::Applied Mathematics
Keywords: Incineration plants
Goal programming
Waste to energy
Issue Date: 2018
Source: Annals of Operations Research
Volume: 267
Issue: 1-2
First Page: 467
Last Page: 491
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.
ISSN: 0254-5330
Other Identifiers: 10.1007/s10479-018-2809-z
Appears in Collections:Department of Applied Informatics

Files in This Item:
File Description SizeFormat 
ANOR-D-16-00505R2.pdf855,27 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.