The integrated development between the logistics and manufacturing sectors is pivotal for promoting the efficiency and resilience of industrial and supply chains. However, extant academic research predominantly concentrates on qualitative analyses and the measurement of coupling coordination, with scant attention devoted to the quantitative selection of contextually appropriate integrated development strategies tailored to diverse real-world scenarios. Addressing the gap, this paper proposes a novel two-stage fuzzy decision-making framework integrating Quality Function Deployment (QFD), DEMATEL (Decision-Making Trial and Evaluation Laboratory), and MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the Full Multiplicative Form) within an interval-valued triangular fuzzy number (IVTFN) environment. The proposed IVTFN-based approach effectively captures linguistic uncertainties while preserving decision-making information integrity, enabling a three-phase analysis to enhance integration: (1) identifying key integration requirements, (2) formulating targeted functional measures, and (3) selecting improvement solutions. Empirical validation in China’s Pinglu Canal region highlights infrastructure quality enhancement and information resource integration as pivotal strategies, demonstrating the framework’s practical applicability. Rigorous sensitivity and comparative analyses further confirm the robustness and superiority of the proposed method. This research contributes a structured roadmap for policymakers and industry practitioners to foster high-quality logistics-manufacturing integration, with methodological innovations extendable to other complex systems.