Abstract Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and
Cluster Analysis (CA) are techniques widely used to help decision-makers determine the …

Additive manufacturing (AM) has emerged as a promising technology to cater to the
increasing demand for the fabrication of multi-functional, multi-material, and complex parts …

Slope failure along highways is a crucial problem in hilly regions. Landslide hazard maps
are very efficient and effective tools for planning and management of landslide disasters …

Abstract Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are helpful
multi-criteria methods used by the decision-makers to prioritize the ecosystem services …

The use of fossil fuels has caused many environmental issues, including greenhouse gas
emissions and associated climate change. Several studies have focused on mitigating this …

Biofuel is one of the emerging sources of renewable energy, which is produced from
biomass materials called feedstocks. Wood biomass, in particular, can improve air quality by …

The evaluation of the severity of the factors influencing road accidents with a detailed
severity distribution is critical to plan evidence-based road safety improvements and …

Background Given that human error is the most important cause of industrial accidents, it
seems necessary to identify and analyze human error, assess human reliability, and reduce …

Additive Manufacturing (AM) is a disruptive production technology that challenges many well-
established, conventional practices in Operations and Supply Chain Management …

This study proposes a multi-criteria decision-making approach using the grey theory to
analyze mode choices. An extended analytic hierarchy process (AHP) model, which …