Flexible operations improve delivery capabilities and respond flexibly to order changes
The delivery of manufacturing orders is the most important thing affecting the long-term development of enterprises, and whether the order can be delivered in time is not a matter of a certain department, but the result of integrated supply chain operation. Since each link has certain ircontrollability in the execution process, it is necessary to track and manage the whole process of the order, which involves the data fusion, analysis and insight of different departments and different scenarios, and is a necessary condition for realizing the coordination of production, supply and marketing. Below we describe the material issues in the delivery process.
In actual production, the problem that enterprises often face is that urgent orders, insert orders, and temporary cancellation orders will exist in large quantities, and how to adjust materials when changes occur? For example, half of the production of the last order has just been completed, and the newly added insert order must be put on line. Which of the materials of the order should be appropriated? How much material is missing after insert? When will it be made up? How long will other orders be delayed? If you only consider the existing inventory of materials, it is easy to fall into a difficult decision dilemma.
Based on intelligent decision-making solutions, material capacity planning can be done in advance at the operational planning level, material constraints can be taken into account when making production plans, and order and material management can be connected at the order level. For example, from the demand to establish an order-level material distribution mechanism, comprehensive consideration of distribution priority, supply priority, material type, customer replacement, protocol material preparation and other constraints, automatic completion of material supply and demand analysis and accounting, automatic allocation of materials to the corresponding order. Before the production line, check the actual order materials, provide decision-making suggestions for the production order, and avoid the shutdown after the production line.
When there is a temporary insertion or cancellation of the order, enter the relevant order data, and through automatic calculation, give material diversion or adjustment suggestions under the condition of ensuring better returns. In this way, the enterprise will be more “in the heart” when making decisions, and will not adjust the material arrangement only by experience or some factors. In addition to materials, order delivery has a similar situation in terms of production line, equipment, personnel, shipping and other resources. The solution of intelligent decision-making solutions is the same. Through collaborative decision-making, end-to-end flexible operation can be achieved, so that supply chain adjustment can keep pace with order changes, and efficient performance of various orders can be promoted.
From order review, factory scheduling to delivery process optimization, the value of intelligent decision making for production operations management is obvious, and this is only the tip of the iceberg of intelligent decision enabling industrial manufacturing. In the process of operation and management, manufacturing enterprises will face a variety of problems, and the decision-making reference function of intelligent decision-making in different problems is like a key to open a new world, helping enterprises to change their thinking and ways to see and tap more growth potential.
In the critical period of transformation from manufacturing to intelligent manufacturing, manufacturing enterprises must grow, but also high-quality growth. As an advanced stage of enterprise digitalization, intelligent decision-making is becoming more and more important for the “brain” upgrade of industrial manufacturing, and is an important technical support for the high-quality growth of intelligent manufacturing. Industrial intelligent decision products, represented by Shan Shuyi, have been widely used in operation management, production planning, production scheduling, material financing and distribution, personnel scheduling and other scenarios, providing a powerful decision-making power for the intelligent transformation of steel, chemical, automotive, electronics and other manufacturing industries.