Lighthouse Advanced Planning and Scheduling solution from its Lighthouse suite of products offers robust modeling capability to model different production scenarios utilizing R-based Optimizer. The planning module generates a balanced production plan considering material and capacity constraints.
The production scheduling module generates schedules that minimize WIP and boost resource utilization.
Solution offers diverse supply and demand modeling features to plan both discrete and continuous production systems.
Planning horizon and planning bucket can be defined as per organization’s planning cycle of short, medium and long-term planning horizon. Short and Medium horizon could be used for production scheduling, material supply trigger to suppliers and forecast utilizing our specially formulated R-based Optimizer. Long horizon plan could be used for forecasting as well as business planning. Supply demand pegging can also be locked in planning module in the short horizon.
Finite capacity planning considers both material availability date and capacity availability date and assigns orders to planning buckets. Generation of work orders after netting off demand quantity with inventory and pegging of procurement orders to planned work orders. Capacity Calendars can be maintained at resource level as well as at Factory level for capacity planning.
Balanced production plan can be generated based on bottleneck resource capacity or material shortages at any level in the BoM.
Consideration of primary / alternate items, primary / alternate suppliers, lead times, supply quota, consolidation horizon and lot sizes for generation of procurement plan; Automatic trigger of procurement order based on safety stock definition. Hence Procurement Plan from Lighthouse can be used as capacity constrained MRP.
Schedules can be generated following JIT methodology which schedules orders at latest possible start time to fulfill orders on due date thereby minimizing the inventory holding cost. The system has the capability to minimize idle time between orders and thereby enhancing resource utilization. System is also flexible to consider set-ups in both working hours and non-working hours. Order scheduling sequence generation considering set-up sequence is possible via Sequence dependent set- up time functionality.