Multi-criteria decision making approach for supplier selection and order allocation in a digital supply chain resilience

The emergence of strong strategic sourcing and globalization has increased the sensitivity of supply chains to disruption, especially for technology companies. Supplier selection and order Allocation (SS-OA) has become a key strategic decision in high-quality supply chain planning and management. This paper builds a data-driven framework and, through a systematic literature review and interviews with management, establishes an evaluation system that integrates economic, resilience, and digital criteria. The adaptability and performance of suppliers were evaluated by AHP and TOPSIS. On this basis, a dual-objective order optimization model is established to optimize the value of flexible digital procurement and reduce related costs. Integrating the supplier selection criteria of the enterprise, the non-dominant sorting genetic algorithm in the meta-heuristic algorithm is used to solve the Pareto optimal solution set. This method provides decision support for supplier selection and order allocation in the supply chain, and promotes the sustainable development of enterprises.