Explicitly represent unique constraints that affect capacity planning, such as labor availability, allocation to lines and costs as well as production sourcing, production line throughput, OEE, etc.
Consider additional critical factors that influence the outcome of capacity decisions, including inventory policy, lead times, sustainability requirements and how costs are actually incurred by the business (i.e., per unit, per hour, per shift, regular/overtime, etc.)
Leverage out of the box, visually configurable prescriptive analytics to understand plan feasibility and to identify the plans that best meet company objective
Evaluate what-if analyses that surface key trade-offs between capacity, service levels, inventory and financial performance
Seamlessly connect capacity planning into the S&OP process under one environment