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

DOI10.1007/s10479-018-2809-zzbMath1398.90161OpenAlexW2795576977WikidataQ130033002 ScholiaQ130033002MaRDI QIDQ1615970

Prasanta Kumar Dey, Konstantinos Petridis

Publication date: 31 October 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://publications.aston.ac.uk/id/eprint/32724/1/10.1007_2Fs10479_018_2809_z.pdf

zbMATH Keywords

DEAgoal programmingMILPincineration plantswaste to energy

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11) Multi-objective and goal programming (90C29)

Related Items (1)

A multi-objective particle swarm optimization algorithm for business sustainability analysis of small and medium sized enterprises

Uses Software

• GAMS

Cites Work

• Location modeling for municipal solid waste facilities
• Optimal design of the renewable energy map of Greece using weighted goal-programming and data envelopment analysis
• A new model for the hazardous waste location-routing problem
• A multi-objective mathematical model for the industrial hazardous waste location-routing problem
• Measurement of returns to scale and damages to scale for DEA-based operational and environmental assessment: How to manage desirable (good) and undesirable (bad) outputs?
• Using goal programming method to solve DEA problems with value judgments

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