An intercriteria correlation model for sustainable automotive body material selection

Over the last decades, most automakers have started to append sustainable materials to lighten the weight in their vehicles to meet stringent, rigorous environmental regulations, which will be more economical, sustainable and improve fuel efficiency. It will also improve the relationship between power and weight of the vehicles, which will translate into greater performance from the present condition. Nowadays, Multi-criteria Decision Analysis (MCDA) is one of the fastest-growing areas of operations research. The methods of MCDA distinguish themselves in terms of procedures, theoretical assumptions, and type of decision addressed. This diversity poses challenges to the process of selecting the most suited method for a specific real-world decision problem. In this research paper, an inter-criteria co-relation model is adopted to solve a real-world discrete sustainable automotive material selection problem.