APS

Lenovo Smart Advanced Planning and Scheduling System

Industry Pain Point

Scheduling, as an important link in production management, guides material preparation and production execution, aiming to optimize resource allocation and improve production efficiency. However, in practical applications, we often face difficulties in smoothly executing production plans due to factors such as changes in market demand, equipment failures, and shortages of raw materials. At the same time, traditional scheduling relies on manual experience and lacks scientific data analysis, which may lead to unreasonable scheduling plans; problems with information coordination between departments may also exacerbate the difficulty of production scheduling. These problems hinder the improvement of enterprise production efficiency and cost control.

Order priority model based on multi-dimensional order attributes

The order priority model based on multi-dimensional order attributes (delivery date attributes, KPI control attributes, material readiness attributes, customer attributes, regional attributes, inter-order related attributes, etc., 60+ attribute factors) is superior to the judgment mode of single-dimensional attributes that only target delivery dates or material readiness.

Multi-objective simulation intelligent scheduling solution

Design an intelligent scheduling solution that covers all production operation scenarios. With delivery date, capacity, and other multi-dimensional performance goals, it simultaneously considers various limited capacity resource constraints such as manpower, machine, material, method, environment, and measurement. By combining optimization algorithms and heuristic algorithms, it can balance scheduling accuracy and calculation speed, providing customers with the optimal scheduling plan. The scheduling process is more efficient, and the executability is stronger, thereby achieving the maximum efficiency and productivity.

Business Value

Scene 1： Improve scheduling and production efficiency

On the basis of meeting the above-mentioned scheduling requirements, innovatively design an intelligent analysis of order priority with 60+ factors; simulate scheduling solutions based on different goals; combine the five major workflows of scheduling: data preprocessing, priority analysis, intelligent line assignment and scheduling, scheduling adjustment and release of one-click operation process design, effectively improving scheduling efficiency by more than 90%, and increasing production by 19%.

Scene 2： Standardize production plans, personal experience is no longer a significant factor affecting scheduling

Automated scheduling minimizes errors from inexperienced intervention, enhances production plan accuracy and stability, and boosts efficiency. It generates optimal plans based on real-time data and rules, reduces idle time and energy waste, and improves resource utilization.

Scene 3： Quickly respond to demand changes and production abnormalities

With fast computing capabilities, it supports daily small batch multiple scheduling, can reflect the real-time order status or the production situation of scheduled tasks quickly into the latest production plan, and formulate production plans and resource allocation according to the latest demand situation to meet customer needs. Production abnormalities are fed back online, and production plans are adjusted in time to reduce the risk of line stoppage.