The cosmetics industry faces mounting environmental pressure due to significant carbon emissions and pollution from daily product consumption, necessitating the systematic integration of sustainability into product development processes. This study develops an integrated decision-support framework combining Analytic Network Process (ANP) and Quality Function Deployment (QFD) with sustainability dimensions to guide cosmetics companies toward environmentally responsible operations. Using facial moisturizer development as a case study, the methodology transforms customer ecological expectations and technical requirements into prioritized design requirements through interdependent matrices (W_C and W_A) and integrated weighting, incorporating both classical ANP priorities (α = 0.70) and sustainability E-Vector scores (β = 0.30). Statistical analysis confirms the independence of technical and sustainability dimensions (r = 0.127, p = 0.743), validating the additive integration approach. Results reveal that hybrid criteria combining regulatory compliance with environmental performance achieve top priority rankings, with the integrated model demonstrating 75–80% concordance with industry R&D priorities from leading cosmetic companies and parametric robustness across realistic weighting scenarios. The framework enables the systematic translation of consumer sustainability demands into operational strategies while preserving safety primacy. This ANP-QFD approach provides cosmetics managers with a quantitative tool for balancing environmental responsibility with market competitiveness, positioning sustainability as a strategic advantage in an evolving regulatory landscape.

Modern industries cannot escape entropy. In this study, we argue that organizational transilience constitutes a fundamental pillar of long-term sustainability—an argument grounded in the automotive sector, where pressure for ecological transition is arguably at its peak. Industrial organizations facing volatile, highly entropic conditions increasingly depend on the relational skills of their leaders to sustain and reinforce resilience. However, these skills remain poorly integrated into quantitative research frameworks. We address this gap by developing a nonlinear dynamical system, built on three coupled differential equations, that formalizes how a leader’s cognitive, conative, and relational competencies shape organizational evolution across five maturity states: fragility, robustness, transformation, antifragility, and transilience. The resulting framework suggests how these combined soft skills may expand an organization’s dynamic carrying capacity through strategic reconfiguration. Stability analysis further reveals that transilience is not simply a qualitative aspiration, but a mathematically traceable outcome of human agency. Taken together, our findings offer formal evidence that soft skills are structural imperatives—not optional assets—for organizational viability in high-entropy markets.