Squeezing the last ounce of productivity from critical production resources demands detailed scheduling—down to the minute. Plans that look good at the daily level can fail to recognize capacity and material limitations or dependencies of sequenced changeovers, lengthening run times and threatening the time slots of customer deliveries.
Infor SCM Production Scheduling provides finite capacity scheduling (FCS) capabilities with deep levels of detail to help you meet customer order delivery times and maximize the productivity of your production assets. Its powerful scheduling engines synchronize your products on all lines, checking interdependencies and optimally sequencing to shorten make-time.
Seven of the top 10 brewers use Infor SCM Production Scheduling to schedule their facilities. One international brand leader reported increases in productivity through the brew process equivalent to “one tank per week.”
Infor’s production scheduling solutions, which can be implemented with any ERP software system, use finite capacity scheduling and optimization principles to address your essential scheduling challenges. These applications are business specific with industry experience built in—and like Infor’s manufacturing planning solutions, their “design-for-use” heritage ensures fast implementation, with minimal effort, so they start to deliver ROI within weeks. They schedule your capacity, labor, materials, and any enabling resources across all lines. Drag-and-drop scheduling boards make it easy to visualize and change schedules, and browser-based screens make changes instantly visible. Components include:
Scheduler —finite capacity scheduling for engineering, assembly, and repetitive production environments characterized by bills of material and routings synchronizes all operations to deliver higher throughput and faster cycle times.
Advanced Scheduler —finite capacity scheduling for batch-process production facilities characterized by recipes, by- and co-products, and tank scheduling for liquids optimizes productivity, minimizes changeover times, and improves on-time delivery performance.
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