Published Paper Details:

The selection of appropriate manufacturing processes in advanced manufacturing environments has become increasingly complex due to the multitude of available technologies, competing objectives, and stringent performance requirements. This paper presents a comprehensive review of multi-criteria decision making (MCDM) methodologies applied to process selection in advanced manufacturing contexts. The study examines various MCDM techniques including Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Data Envelopment Analysis (DEA), and fuzzy-based approaches. The research synthesizes literature from 2000 to 2016, analyzing the effectiveness of different MCDM methods in addressing manufacturing process selection challenges. The findings indicate that hybrid MCDM approaches combining multiple techniques provide superior decision-making capabilities compared to single-method applications. The paper contributes to the manufacturing decision-making literature