The development prospect and development trend of the machinery and equipment industry

The machinery industry is a typical discrete manufacturing industry, which is characterized by multi-variety, small batch production; There are many types of products, complex products, many uncertainties affecting the production process, frequent emergency orders, equipment failures, etc., which make the production plan change; The manufacturing process is complex, there are many uncertainties in the production process, and the coordination of the entire production process cannot be guaranteed by experience scheduling, and the process control is difficult and the management is difficult.

4 characteristics of machinery and equipment manufacturing industry

1. Production according to customer requirements, product process changes frequently, production plan changes frequently;

2. Multi-variety, small-batch production, production mode is based on orders, supplemented by market forecasting;

3. The production process is mainly machining, and then assembling each component, assembly is the key, there are many processing equipment;

4. There are many semi-finished products and purchased parts, and they are frequently in and out of the warehouse, which requires high accuracy of BOM and inventory.

Three major management difficulties in the machinery and equipment manufacturing industry

Plans are difficult to manage

The market competition is fierce, the demand for product personalization is increasing, and the delivery time required by customers is getting shorter and shorter;

The production plan is greatly affected by the market, and the production mode of multiple varieties and small batches leads to heavy planning management tasks, low planning accuracy, and difficult market prediction.

Production is difficult to collaborate

The production mode of machinery manufacturing industry is mainly discrete, process supplemented, assembly as the focus. The production form of the product is multi-variety, small batch, there is a situation of insertion, and the coordination requirements of the production process are very high;

While R&D and production, there is a project manufacturing production mode, and the frequent production changes of products directly affect the control of production costs, especially the production mode of project-based accounting costs, and the accuracy of data directly affects the cost of the project and the profitability of the enterprise;

The product production process is

long, there are many quality control points, and it is difficult to find problems and defects in time, so the ability to control the production process and quality is directly related to the production efficiency and product quality.

The site is difficult to control

The product structure of the

machinery and equipment industry is clear and clear, but the product configuration is complex and there are many BOM levels, resulting in the issuance of production orders and the management of on-site processes;

The management of materials and logistics at the production site and the control of line-side warehouses are the key points, and there are many semi-finished products and purchased parts, which have high requirements for inventory accuracy;

Raw materials, semi-finished products, finished products are frequently in and out of the warehouse, and the loading, unloading, foolproof and error-proofing of materials are the keys to improving production efficiency and product quality.

The two major digital needs of the machinery and equipment manufacturing industry

Production, supply and marketing coordination

Machinery and equipment enterprises need to design, manufacture and deliver products on time according to market and customer needs, and there are problems such as scattered production stations, irregular process routes, and random resource allocation in the production process, so the optimal utilization and reasonable arrangement of resources are crucial. It is necessary to fully consider the market, supply chain, manufacturing site and customer and other factors, prepare a scientific production plan, and in order to make better use of resources, timely feedback of production site information to support production decisions.