With the increasing diversification of market demands and the shortening of product life cycles, companies have adopted new production and management methods and technological innovations, making multi-variety small-batch production the main production method in today's society. Unlike the previous large-scale production, the current multi-variety small-batch method has put forward higher requirements for supply chain coordination: rapid response to customer needs, rapid delivery, and closer collaboration with suppliers. Objectively, it requires a faster and more efficient planning system for coordination.
Most companies have or are implementing ERP and MES systems, and have completed information management work at the planning level and production execution control. However, the disconnect between demand planning and production execution has led to increasingly prominent problems such as large discrepancies between enterprise capacity demand estimates and actual capacity, unreasonable demand and plan scheduling, and incoordination between planning and execution processes. Enterprises lack an overall system for analysis, monitoring, and tracing.
Fangtian APS advanced planning and scheduling system is an automated, intelligent advanced planning and scheduling system based on limited production capacity. It can help enterprises quickly formulate optimized detailed production operation plans that meet various production constraints (man-machine-material-method-environment) and meet planning goals and strategies, shorten manufacturing lead time, reduce inventory, improve delivery compliance, and effectively realize customer benefit growth.
With the changes in the market environment and the intensification of market competition, the variety of products is increasing, and customers are becoming more and more strict with delivery dates. How to make more products with fewer people, shorter time, and less inventory has become the focus of enterprise consideration. In particular, production scheduling, as the "source of manufacturing", its scientificity, efficiency, flexibility and sharing have become increasingly prominent issues.
01. Management
It is necessary to grasp in real time the difference between estimated capacity demand and actual capacity, the rationality of the allocation of demand and plan, and the coordination of planning and execution process. Currently, there is a lack of an overall system for analysis, monitoring and tracing.
02. Merchandiser
Merchandisers hope to learn about each customer's order plan, production progress, capacity, etc. in real time through the system. Currently, there is a lack of a unified system platform, so merchandisers cannot learn about the relevant information in real time, and it is difficult for them to accurately respond to customers' progress and effectively promise customers delivery dates. Merchandisers' cross-departmental collaboration, information transmission, and interface management with planning, procurement, etc. are not accurate and timely enough.
03. Planner
Manual production scheduling with EXCEL results in high workload and low efficiency for planners. Each planner schedules production separately according to the process. To ensure the balance of plans between processes, communication and coordination through meetings are required, which is inefficient and can easily lead to unreasonable plans due to human factors (such as inadequate communication). On the other hand, manual production scheduling is highly dependent on the skills of the personnel, their familiarity with the business, and their work attitude. Planners cannot analyze the capacity load, actual production completion, and production balance in real time through the system.
04. Workshop leader/production supervisor
They hope to know the production plan and load status in real time through the system so as to arrange relevant production preparation work in time or in advance (such as mold preparation, material collection and confirmation, personnel arrangement, etc.); production supervisors cannot timely understand the plan achievement status, process balance, process bottleneck (load), abnormalities, etc. through the system.
05. Material Control & Purchasing
Currently, material requirement analysis is completed with the assistance of ERP, but it is not closely connected with the production plan, and it is impossible to accurately calculate material requirement planning and procurement requirements through the system.
Key Features
Fangtian APS advanced scheduling system is specially designed to solve the pain points in the field of enterprise planning. It can respond to needs quickly, make plans multiple times a day, and greatly improve the efficiency of planning operations.Fangtian APS Advanced Scheduling is the module with the most patents in our system.Build the “main artery” of smart manufacturing collaboration.
01. Refined production planning
By simultaneously considering the constraints of multiple limited capacity resources, according to various preset rules, through systematic intelligent mathematical algorithms, through repeated simulation, trial, optimization, calculation, a relatively detailed production plan is given.
02. Quickly and effectively respond to different scenarios
It supports multiple modes such as insertion orders and mixed full scheduling. You can establish multiple analysis scenarios, simulate them repeatedly, and make any changes to the scheduling data in the scenarios. You can also view the resulting performance changes and obtain a complete adjustment plan.
03.Automated production scheduling
Visual automatic scheduling optimizes production sequence according to the set basic information and corresponding constraints to improve order delivery performance.
04. Visualization attempt analysis
The system provides a variety of analysis and forecasting function interfaces, covering key indicator analysis from multiple aspects such as resources, materials, personnel, and labor costs, and presents them in a graphical way to help enterprises analyze and control production in all aspects.
Application Value
The implementation of the APS system can solve the following problems for enterprises:
01. Delivery date achieved
It can respond to customer orders more quickly, help you quickly answer customer inquiries, accurately promise order delivery dates, deliver customer orders on time, and help you establish a better cooperative relationship with your customers.
02. Order Forecast
Through systematic modeling, we can simulate and calculate the dynamic production capacity of the workshop, conduct mid- and long-term scheduling, accurately respond to delivery dates, better meet market demand, and improve customer service capabilities.
03. Planning
The system supports full/semi-automatic/guided scheduling modes. Enterprises can achieve balanced scheduling of the master production plan from the system level based on demand and business rules. They can quickly formulate detailed process plans, thereby reducing the difficulty of preparing plans for each process. At the same time, they can calmly respond to plan adjustments such as quality anomalies, emergency orders, equipment failures, etc.
04. Production preparation
Multi-department plan sharing guides production execution at the workshop, material purchase by the procurement department and distribution plan by the material department, improves material distribution and completeness, and reduces downtime due to waiting for materials.
05. Feedback execution
Through the system's intelligent integration engine, seamless integration of ERP/MES/APS and other systems is achieved, forming a closed-loop rolling planning system. The plan is executable and continuous, improving the overall quality of the production plan.
06. Cost reduction
Rationally allocate enterprise equipment, production capacity, human resources and other resources, reduce losses caused by downtime and production change, improve resource utilization, allow suitable equipment to produce suitable order products, and help enterprises reduce costs.
07. Management improvement
Significantly improve planning efficiency, reduce the occurrence of abnormal errors, shorten order delivery times, help enterprises achieve standardized and systematic production management, make production more orderly, and improve customer satisfaction.