A Management Information System Framework Integrating Multi-Objective Integer Programming and Its Application in Product Development Decision-Making

In the midst of increasingly fierce competition in the market, technology companies are facing significant challenges in balancing multiple strategic objectives such as user growth and business revenue with limited research and development (R&D) resources, in order to make the optimal product development decisions. But traditional management information systems (MISs) are unable to provide prospective and guiding support for intelligent decision-making. To address this problem, this paper proposes and validates a decision-making support framework: the Feature Selection Optimization - Multi-Objective 0-1 Integer Programming (FSO-MOIP) model. This framework can quantify the top-level, qualitative strategic orientations of an enterprise into precise weights in the mathematical model, thereby obtaining the optimal product feature combination under given cost constraints. Case analysis shows that this model can generate distinctive optimal decision-making schemes within the budget for different strategies. This study not only clearly reveals the internal structure and cost-effectiveness of the optimal solution, but also presents complex strategic trade-offs to decision makers in the form of an intuitive "Capability Fingerprint".