Current situation and development trend of mechanical equipment industry

Machinery industry is a typical discrete manufacturing industry, which is characterized by multi variety and small batch production; There are many kinds of products and complex products. There are many uncertain factors affecting the production process. Emergency orders, equipment failures and other situations often occur, which change the production plan; The manufacturing process is complex, and there are many uncertain factors in the production process. The coordination of the entire production process cannot be guaranteed by experience scheduling. It is difficult to control the process and manage it.
Four characteristics of mechanical equipment manufacturing industry
1. Production is carried out according to customer requirements, and the product process changes frequently, and the production plan changes frequently;
2. Multi variety and small batch production. The production mode is mainly based on orders, supplemented by market forecasts;
3. The production process is mainly for machining, and then assembling various parts. Assembly is the key, and there are many processing equipment;
4. There are a lot of semi-finished products and purchased parts, which are frequently delivered and warehoused, and the accuracy of BOM and inventory is required to be high.
Three management difficulties in mechanical equipment manufacturing industry
Plan is difficult to manage
With fierce market competition, more and more personalized demands for products, and shorter and shorter delivery time required by customers;
The production plan is greatly affected by the market. The production mode of multi variety and small batch leads to heavy task of plan management, low accuracy of the plan, and difficult to predict the market.
Difficult to collaborate in production
The production mode of machinery manufacturing industry is mainly discrete, supplemented by process and focused on assembly. The production form of products is characterized by multiple varieties and small batches, and there is a situation of inserting orders, which requires high collaboration in the production process;
R&D and production at the same time, there is a project manufacturing and production mode. Product production changes frequently, which directly affects the control of production costs, especially the production mode of project based cost accounting. The accuracy of data directly affects the cost of the project and the profitability of the enterprise;
The production process is long and there are many quality control points, so it is difficult to find problems and defects in time. Therefore, the ability to control the production process and quality is directly related to the production efficiency and product quality.
Difficult to manage and control on site
The product structure of the mechanical equipment industry is clear, but the product configuration is complex and the BOM level is multiple, leading to the complexity of production order release and on-site process management;
The management of materials and logistics on the production site and the control of the line side warehouse are the key points. There are many semi-finished products and purchased parts, and the requirements for inventory accuracy are high;
Raw materials, semi-finished products and finished products are frequently put in and out of the warehouse. The key to improving production efficiency and product quality is to load, unload and prevent mistakes.
Two digital requirements of mechanical equipment manufacturing industry
Production, supply and marketing collaboration
Mechanical equipment enterprises need to design, manufacture and deliver products on time according to the market and customer needs. However, there are some problems in the production process, such as scattered production stations, unfixed process routes, and random resource allocation. Therefore, it is crucial to optimize the utilization and reasonable arrangement of resources. It is necessary to fully consider the market, supply chain, manufacturing site, customers and other factors, prepare a scientific production plan, and feed back the information of the production site in time to provide support for production decisions in order to better use resources.


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