By optimizing production capacity and material supply constraints, decomposing customer orders and requirements, considering multiple optimization objectives such as delivery date achievement rate, production capacity utilization rate, and inventory level, an optimal order supply chain collaborative plan is obtained to achieve rapid delivery commitments.
Implement full-process tracking of orders, visualize the entire production process, consider material supply constraints, optimize order material allocation and conduct kit completeness checks, enhance production delivery capabilities, ensure the order delivery achievement rate, and provide risk warnings and decision-making prompts for orders with significant abnormal discrepancies.
Automatically disclose material shortages, develop and implement material substitution plans, optimize material allocation strategies, replenish insufficient materials in a timely manner, and ensure the stable operation of production lines. At the same time, formulate material demand plans for all levels of materials such as finished products, work in progress, and raw materials to ensure the balance between material supply and demand.
Achieve full visualization of the production process, promptly detect anomalies in each link and take timely control measures, including delivery time judgment, kit completeness status identification, production capacity status identification, and disclosure of delay risks, etc., to maximize production capacity utilization and ensure the achievement of order delivery deadlines. Based on the production capacity planning calculation, estimate the actual completion time When there is a capacity conflict, early warning disclosure will be made for the production that cannot be scheduled
Comprehensively considering the constraints such as the supply capacity of currently cooperating suppliers, available equipment resources, and available personnel teams, conduct refined calculations of available production capacity to obtain the currently distributable net production capacity, and reasonably plan production arrangements under limited production capacity.
Match and link production demand with material supply capacity to ensure consistency in time, quantity, and feeding time. When demand or supply changes, implement two-way constraints and coordination. When material supply is insufficient, calculate and meet demand through alternative materials. When supplier capacity does not match, select the optimal supply path and supplier strategy based on cycle, economic batch, and contract constraints.
Under a single order requirement, coordinate procurement, production, subcontracting, and transportation plans to achieve linkage among all processes. Clearly understand the task allocation and coordination of multi-factory collaborative production, track progress, and have the ability to make rolling adjustments to address exceptions. Multi-factory production task allocation When the upstream factory fails to deliver on time System prompts an exception, coordinating downstream production preparation adjustment Task is delayed, give a prompt
Centering on the entire lifecycle of orders, from customer inquiry, capacity planning, material scheduling, procurement collaboration, production execution, finished product shipment to the completion of order delivery; evaluate whether the plans for each link are completed on schedule and as required, promptly disclose and issue early warnings for abnormal statuses, and adjust plans in a rolling manner.
By establishing an intelligent planning system, we aim to achieve overall optimization of the master and daily plans, further ensuring delivery, enhancing capacity utilization, reducing inventory losses, and lowering other production costs.
