Multi-Criteria Decision Making for Strategic Outsource in Semiconductor Industry

Multi-Criteria Decision Making for Strategic Outsource in Semiconductor Industry

연구 분야: Verification

학회: MSIE '24: Proceedings of the 2024 6th International Conference on Management Science and Industrial Engineering

The paper presents a novel approach for selecting strategic outsourced suppliers in the semiconductor industry using a hybrid fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This methodology addresses the ambiguity and uncertainty in human judgment, making decision-making more practical and effective. The method's application in a case study significantly reduced revenue loss and yielded benefits like cost savings and improved delivery and quality performance. The study underscores the efficacy of this hybrid method in complex supplier selection in the semiconductor sector.