Objectives:
- The structure of the digital factory
- The new idea of the work flow
- The simulation software to support the factory strategies
- The digital Lean
Target Audience:
- GMs, Operation Directors, Production Managers
Agenda:
8:30 – 8:45 Welcome and presentation
8:45 – 9:00 AI E-Commerce and concept of Agents
9:00 – 9:30 AI ERP
9:30 – 9:45 Automatic Warehouse systems
9:45 – 10:15 IoT in Production
10:15 – 10:30 Coffee Break
10:30 – 11:00 MES
11:00 – 11:30 Predictive Maintenance
11:30 – 11:45 Blockchain
11:45 – 12:00 Encryption and data security systems
12:00 – 12:15 Questions and open discussion
12:15 – 13:30 Lunch
13:30 – 14:00 Simulation system
14:00 – 14:30 Simulation software supporting the factories for improving the production plant
14:30 – 15:00 Agents Interconnection System
15:00 – 15:30 Mr. Ragone will show a data management factory acquisition software
15:30 – 15:45 Coffee Break
15:45 – 16:15 Standardization of the machines and plants
16:15 – 16:45 Customer’s cases and benefits/suggestions
16:45 – 17:30 Questions and conclusions.
What the members will learn:
- How to manage a Digital Factory and its data:
The digital factory concept offers an integrated approach to enhance products and production engineering processes. Simulation is a key technology within this concept. Different types of simulation, such as discrete event or 3D-motion simulation can be applied in virtual models to various planning tasks and stages to improve the product and process planning at all levels. The focus and key factor is the integration of the various planning and simulation processes. In an advanced stage, simulation technology can be applied in the digital factory concept to enhance the operative production planning and control as an integrated process from the top level to the factory floor control. Further, the combination of simulation and optimization techniques will offer advanced approaches for planning and improving the product development and production planning processes. The digital factory exceeds the sum of the entire planning tools and focuses on:
• Integration of product development and production planning, examination and optimization of planning regarding economic efficiency, flexibility and reduction of planning period (Time-to-Market)
• Reduction of planning costs through actual planning data, error avoidance, etc.
• Fast and safe start of production (Time-to Volume)
• Shorter product launch time
• Transparent communication
• Standardization of planning processes
• Competent knowledge management
Some aspects of the digital factory regarding the integration of simulation to enhance the product and the production process are discussed in the following. The discussion will cover the steps from the product engineering process to the operative production control and optimization.
Manufacturing planning and execution involves a variety of complex and interconnected activities from part and assembly process planning to plant design, ergonomic analysis and quality planning. Information and data from product design, manufacturing engineering and production management have to be transparently handled for all applications in the digital factory environment.
We will include some cases studied like Fiandre, from the ROI to the plant.
- How to organize the resources:
Factory Process Management (FPM) tools establish the relationships and associations between product, process, plants and resources, which are the basis for the creation of a manufacturing plan. The overall goal is to allow all users to quickly assess the impact of their decisions on product, process, plant and resource requirements. Software tools are required for simulation, workflow, change management, integrated visualization, and configuration management as well as integration tools. These tools are using the open factory backbone and the factory data management.
- How to predict the maintenance:
Maintenance is generally classified into three classes: corrective maintenance (CM), preventive maintenance (PM), condition based maintenance (CBM) which more recently has been termed predictive maintenance (PdM).
New mechanisms for analyzing sensors data include configuring big data platforms for data collection, management and analytics and are making inroads into sensor data analytics for CBM. Powered by machine learning and advanced analytics, this can generate several benefits. Here are a few advantages of CBM in no particular order.
Detecting failures in early stages and preventing them:
Finding ‘Remaining life of asset’
Schedule predictive maintenance
Maintaining “Right level of inventory” for spare parts
Evaluate “What if” alternate scenarios
Determine right warranty period for the assets at the design time
Predict breakdown
Notify operator at right time
Prevent risk of collateral damage and secondary failure
Prevent high production downtime
Maximizing equipment life
- How to supervise the production process phases
What is MES and in which way it supporting the modern factories.
Manufacturing Execution System, is nowadays one of the common tool for supervise and control the production work-flow. A well run plant can offer several significant benefits to a best-in- class manufacturer. From a broad perspective, a manufacturer can expect significant improvements in bottom line profitability, on time delivery, and better quality products. On a more granular basis, a manufacturer can see improvements in the following significant items:
a) Reduces manufacturing cycle time
b) Reduces or eliminates data entry time
c) Reduces work-in-process
d) Reduces or eliminates paperwork between shifts
e) Reduces lead times
f) Improves product quality
g) Eliminates lost paperwork
h) Empowers plant operations people
i) Improves the planning process
j) Improves customer service
k) Reduces setup costs, wait times
l) More reliable and precise sequence planning
Registration 注册
Registration is required to secure your seat. Please send the following information to Ping Rui Zhao, przhao@europeanchamber.com.cn or you can register online if you are a member. 请务必提前注册来预订你的位置，请将下面的信息通过邮箱提供给赵平瑞 przhao@europeanchamber.com.cn 或者你也可以选择在中国欧盟商会官网的活动信息页面在线注册。
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