ACLIPS® A Capacity and Lead Time Integrated Procedure for Scheduling
Advanced Resources Planning (ARP) Systems like ACLIPS revolutionize aggregate planning by accounting for the stochastic nature of manufacturing systems. This high-level tuning tool optimizes parameters such as lead times, lot sizes, utilization levels, and customer service expectations. By incorporating uncertainty and variability, ARP provides realistic lead time distributions and delivery estimates, helping businesses enhance efficiency and consistently meet customer demands. Therefore, it is an ideal high-level tuning and planning tool which can be used in various planning environments like MRP, ERP, JIT, Load-Oriented Planning, Theory of Constraints, Finite Scheduling, POLCA systems, and perhaps several more. The main purpose of ACLIPS is to set aggregate planning parameters right before diving into any other operational planning decision. In this sense, we opt to offer realistic lead time estimations, lot sizes, utilization levels, customer service levels and quoted delivery times.
ACLIPS®
ACLIPS is a hierarchical planning and scheduling procedure designed to integrate multiple applications. Developed over several years, it included a gradual implementation process supported by a training program. Training focused on operations management concepts such as variability, bottlenecks, and stochasticity, making it accessible to both management and specialists.
Real-time computer links, if available, facilitate monitoring and adjustments throughout the project, ensuring responsiveness to operational dynamics. The combination of short- and long-term planning, as well as stochastic and deterministic methods, is key to the system's success.
Planning Phases
The model operates in four phases
- Lead Time Estimation & Lot Sizing: Uses queueing network modeling to determine optimal lot sizes and lead times, incorporating variability and disruptions.
- Tuning Phase: Adjusts capacity, offloads resources, and explores alternative routings to improve lead time performance, supported by the queueing model.
- Scheduling Phase: Groups requirements, sets release dates, and sequences operations using methods like 'Finite Scheduling' for dynamic job shop environments or 'Load-Based' POLCA.
- Execution Phase: Implements detailed plans on the shop floor, with real-time feedback enabling adaptive rescheduling.
SupplySquare will support you with Phase I and II