摘要
Develop a knowledge-based decision framework integrating DEA-CCR cross-efficiency and multidimensional knapsack modeling for IC design project selection.•Reveal the empirical impact of infinite-weight DEA-CCR solutions at score 1 on project selection.Validate consistency between DEA metrics and real-world R&D resource allocation through isotonicity, attribute relevance, and correlation analysis.•Enhance Turnkey and NRE revenues by 2.5% and 32%, respectively, outperforming GPM-oriented selection strategies with improved profitability.Achieve 14% higher technological value and broader category diversification, strengthening portfolio robustness, risk dispersion, and strategic coverage.
This study addresses a critical gap in systematic project portfolio management mechanisms that guide bidding decisions in the semiconductor integrated circuit (IC) design service industry. The analysis incorporates key factors such as revenue, technological positioning, capacity constraints, schedule risk, and project heterogeneity. The research is driven by two primary questions: (1) How can efficiency assessment be integrated with capacity planning to improve the quality of project portfolio decisions? (2) How can multiple optimal weights in the data envelopment analysis (DEA) model be managed to maintain consistent rankings under a common-weight policy while accounting for project heterogeneity? To address these questions, we propose the UNISON framework. First, a knowledge-driven DEA model is used to evaluate project efficiency. Second, cross-efficiency sensitivity analysis is applied to identify and adjust invariant weights and slack variables to stabilize the rankings. Third, a multidimensional knapsack formulation integrates each project’s development duration and available research and development capacity into a unified optimization problem. A case study involving 15 candidate projects from a Taiwanese semiconductor IC design service firm validates the proposed framework. The findings show that, compared with the conventional gross profit margin-oriented approach, UNISON delivers a 205.5 percent increase in total revenue, achieves higher ratings in technological depth and technical breadth, and alleviates scheduling bottlenecks through balanced resource allocation.