Multi-objective Optimization Approach to Product-planning in Quality Function Deployment Incorporated with Fuzzy-ANP

Abstract

Technological innovations and changing customer trends brought by globalization has led tough competition among various industries throughout the globe. Their assiduous efforts to develop new product is crucial for survival. To overcome this problem and to develop a quality product that generates revenue, a dynamical multi-objective evolutionary algorithm(DMOEA) incorporated with quality function deployment (QFD) and fuzzy analytic network process (FANP) is proposed. The proposed approach considers goals such as new product development (NPD) time and cost, technological advancement, and manufacturability for selection of the most suitable product technical requirements (PTRs). A case study of software development is included to demonstrate the effectiveness of the proposed approach and the obtained results are discussed.