Analytical Workflow for FMC Portfolio Migration Decision Support System: Service Integration, Decomposition, and Managerial Rule Generation

Background Fixed–Mobile Convergence (FMC) integrates fixed broadband and mobile services within a unified portfolio to support a cross-selling integration strategy. As customers move from fixed-only (FO) or mobile-only (MO) services to FMC bundles, cannibalization may occur; however, such movement is not necessarily harmful. The key managerial challenge is to distinguish strategic internal migration from destructive cannibalization and potential external leakage. This study develops a decision-support system for FMC portfolio migration that converts portfolio outcomes into migration-quality diagnosis, tuning feedback, and managerial rules. Methods A quantitative analytical case-study design was applied using post-portfolio diagnostic decomposition. Portfolio outcomes from prior Balanced Goal Programming calculations for Big City, Mid City, and Small City archetypes were combined with FMC, FO, and MO prices, unit costs, FMC CAPEX allocation, baseline demand, and external competitor demand. The workflow comprises five stages: portfolio outcome, cannibalization decomposition, migration-quality diagnosis, portfolio-tuning feedback, and managerial rule generation. It can also be applied to other finalized portfolio outcomes. Results Using Indonesian broadband portfolio outcomes, the system identified contrasting migration patterns across city archetypes. Big City was classified as Leakage Risk, with SIMR = 0.00%, DUCR = 100.00%, PELR = 74.08%, and FTPI = 87.04%, indicating that FO/MO losses were not absorbed by FMC growth and may be associated with competitor gain. Mid City and Small City were classified as Healthy Migration, with SIMR = 100.00%, DUCR = 0.00%, PELR = 0.00%, and FTPI = 0.00%. Although all archetypes remained financially feasible, low FMC market share showed that financial feasibility alone does not ensure healthy migration. Conclusions The proposed system reframes FMC cannibalization as a migration-quality issue. By separating strategic migration, destructive cannibalization, and external leakage, it helps operators determine whether demand movement strengthens or weakens the portfolio. The resulting rules support scaling and monitoring healthy migration, recalibrating destructive cannibalization, and correcting and defending against leakage risk.