Today's market dynamics and increased customer expectations have made manufacturing environments extremely complex. Advanced production planning and scheduling decisions are made based on analytical models and extensive information processing. In this research, an analytical model is developed to improve production decisions in a high-end server manufacturing environment. The production decisions include assembly and disposition decisions of customer orders for a pro-active order fulfillment scenario to assist assembly line operators. The objective is to minimize the teardown volumes of assembled orders and eliminate the Work-in-process (WIP) accumulation. The proposed framework was implemented in a clear-to-build type high-end server manufacturing environment. In addition to minimizing the teardown volumes and WIP, the proposed framework reduces workload of manual processes by reducing cycle time of rework. It also enables real-time reapplication decisions for assembled but cancelled customer orders.