ISSN: 2222-6990
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This study introduces a management-oriented decision-making framework that integrates Failure Mode, Effects and Criticality Analysis (FMECA) with the Analytical Hierarchy Process (AHP) to enhance the rigour and reliability of design evaluation processes. Although widely used in engineering applications, conventional decision approaches often lead to inefficiencies, prolonged evaluation cycles, and suboptimal performance outcomes due to their reliance on intuition or limited analytical structure. To demonstrate the practical utility of the proposed integrated framework, a case study was conducted to determine the most suitable conceptual design for a motorized rolling machine. The analysis identified Design 3 as the preferred option, achieving the highest overall score of 29.4% based on combined performance, cost, and risk-related criteria. The findings indicate that the FMECA–AHP integration improves transparency in the assessment process, minimizes subjective judgment biases, and supports a systematic comparison of competing design alternatives. Overall, the framework enhances organizational capability for structured, consistent, and evidence-based decision making in early-stage product development.
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