An Integrated ANP-ELECTRE III Decision Model Applied to Eco-Friendly Car Selection

  • Ahmad Mumani Yarmouk University-Industrial Engineering Department
  • Ghazi Maghableh Yarmouk University-Industrial Engineering Department

Abstract

The number of green energy options in different fields is growing because of the need for reducing energy consumption and eliminating gas emission. One of these options is the use of eco-friendly cars produced by various manufacturers. Given the many available options and conflicting evaluation criteria, evaluation of such options becomes complex, and different multi-criteria decision-making (MCDM) approaches have been used to select the most suitable car in terms of eco-friendly car selection. Previous research has been somewhat limited with respect to consideration of interdependencies between evaluation criteria and multi-levels of preference. This paper proposes a new integrated MCDM approach with the capability for considering interdependent criteria for eco-friendly car evaluation and different levels of preference. An analytic network process (ANP) will be used to evaluate the levels of importance of interdependent criteria, and ELECTRE III will be modeled to include thresholds of preference. The introduced model, based on twenty-eight evaluation criteria, was demonstrated in a case study dealing with five alternative electric and hybrid cars. The results from this model were compared to a traditional decision-making method and better results were obtained from the model. The model can help users make proper decisions regarding their future car options in a comprehensive manner.

Author Biographies

Ahmad Mumani, Yarmouk University-Industrial Engineering Department

Ahmad Abdelhafiz Mumani is an Assistant Professor of Industrial Engineering at the Department of Industrial Engineering (Yarmouk University). He received his Ph.D. in Industrial Engineering from Iowa State University (USA) in 2018. During his studies, Dr. Mumani worked on several research topics including decision support systems, systems engineering, human factors and ergonomics, facility planning, operations management, and lean manufacturing with different applications. Dr. Mumani is interested in usability studies, data analytics, process modeling and design, agent-based modeling, decision support tools development and validation. 

Industrial Engineering Department

Yramouk university

Irbid-Jordan

P.O Box 566 Zip Code 21163

Email: Ahmad.Mumani@yu.edu.jo

Phone: + 962 2 7211111 ext: 4434

Ghazi Maghableh, Yarmouk University-Industrial Engineering Department

 

Ghazi M. Magableh is an Assistance Professor of Industrial Engineering at Yarmouk university. Dr. Magableh obtained his PhD  of Industrial Engineering from university of Arkansas, USA. He served as KADDB CEO Technical Assistant for four years. His research interest includes lean manufacturing, simulation, manufacturing systems, and supply chain management.

 

Industrial Engineering Department

Yramouk university

Irbid-Jordan

P.O Box 566 Zip Code 21163

Email: ghazi.magableh@yu.edu.jo

Phone: + 962 2 7211111 ext: 4613

Published
2021-10-27
Section
Industrial Engineering