SmelterSmelter production schedulingScheduling presents numerous challenges due to the complex, interconnected, and dynamic nature of smelter operationsSmelter operations. In this paper, we explore the transformative impact of digital technologiesTechnology on smelter operationsSmelter operations, with a specific focus on the benefits derived from optimized operational schedules. By investigating the currentCurrent and future challenges inherent in smeltingSmelting processes, the paper emphasizes the pivotal role of advanced mathematical optimizationMathematical optimization techniques, real-time data analyticsAnalytics, and vision AIArtificial Intelligence (AI) in orchestrating efficient and sustainable smelterSmelter activities. We illustrate with an industrial case study how a digitally enabled schedulingScheduling ecosystem, enhanced by vision AIArtificial Intelligence (AI) for precise monitoring of critical activities such as ladle movements, crane operationsOperation, and furnaceFurnace tappingTapping events, can significantly improve efficiencyEfficiency, reduce environmental impactEnvironmental Impact, and unlock new levels of adaptability in the face of operational complexities. The proposed optimizationOptimization framework synchronizes the activities of furnaceFurnace, cranes, and converter aisle, while adhering to process and environmental constraints, resulting in a minimization of moltenMolten material idle time by up to 50%. The integrationIntegration of computer vision ensures high-resolution data capture and continuous performancePerformance feedback, driving real-time adjustments and enhancing operational oversight.