With the blessing of intelligent decision-making technology, when the data of marketing, procurement, production, warehouse, finance and other departments are opened up, when the demand plan, production plan, inventory plan, procurement plan and so on are connected, cross-organizational collaboration and the balance of production and sales will no longer be a problem, and enterprises can avoid “seeing the trees and not the forest” when executing production according to the consistency plan.

For example, for demand and supply management, orders can be matched with supply capacity from a global perspective, and resources such as materials, personnel and equipment at the supply side can be calculated and optimized in multiple levels and dimensions, so as to ensure greater economic benefits while helping enterprises to control the operation and management of each link more comprehensively from macro to local.

From the perspective of realizing value, effective operation management is not limited to planning or planning itself, and its role is transmitted to different production and operation links, which will bring more substantial business benefits to enterprises.

Multi-dimensional analysis of costs and benefits, do not do “losing business”

You only get paid if you have orders, but do you have to take all orders? How to make decisions?

Although the company hopes that every order can bring economic benefits, it is inevitable to encounter a “loss business”. High-quality orders are orders that can meet the customer’s delivery time, meet the production capacity of the enterprise, and bring revenue. Usually the value of the order itself is relatively easy to assess, but this assessment is often carried out under the condition of unlimited capacity, if considering the actual production conditions of the enterprise, the real income of the order needs to be a question mark.

For example, a temporary order insertion can disrupt the delivery schedule of other orders and may affect overall revenue, which is difficult to assess manually. Under the condition of limited production capacity, how to determine whether to accept temporary orders? If you don’t, you may lose big business; Yes, if you can’t perform on time, you may lose credibility or face compensation.

In the face of this situation, it is difficult to avoid “quarrels” or “head shooting” decisions between different departments of the enterprise. Intelligent decision-making can “speak with data”, comprehensively evaluate costs and benefits, and help enterprises make better decisions from the overall benefits, avoid blind orders. Advanced intelligent decision-making products can comprehensively consider order demand, production capacity, materials, income, etc., estimate order delivery time, generate order delivery response, early warning of abnormal delivery orders, etc., through order review to help enterprises decide whether to accept orders or the specific delivery time after receiving orders.

Optimize resource allocation globally and tap “invisible benefits”

“Cost is like water in a sponge, there is always a squeeze”, in the long link of manufacturing production and marketing, cost is everywhere. In order to “squeeze water” out of complex production without affecting delivery, it is necessary to “calculate the budget” of all orders received, and finally come down to the revenue.

In the production process, in addition to the direct costs visible to the naked eye such as raw materials, personnel, equipment, logistics, etc., there are also many invisible costs hidden. For example, in a multi-plant production line, production planning and suborder decisions have a great impact on the final revenue. Different regions of the factory production costs, transportation costs are very different, if the nearby arrangement of production may save a lot of logistics costs, if the arrangement of remote areas of the factory production, you can save production costs, how to balance these costs? Through intelligent decision-making technology, “peak cutting and valley filling” can help enterprises make better decisions, and wasted costs can be converted into benefits.

The successful practice of a large manufacturing enterprise is a typical case. The company is a research and development, manufacturing, sales in one of the manufacturing enterprises, there are a number of factories all over the country, after the company orders need to be distributed by manual distribution of orders to different factories for production and delivery, enterprises need to bear hundreds of thousands or even millions of logistics costs every day. With the growth of business, the order volume of enterprises has exploded, and manual order distribution is low in efficiency and poor in effect, which has gradually failed to keep up with business development.

In order to reduce the cost and improve the efficiency, the manufacturing company built an intelligent ordering system based on Shan, through the supply chain coordination, through the upstream logistics suppliers pricing information, downstream customer demand information and factory capacity information, to guide the daily thousand orders of ordering decisions, and by accurately describing the cost of logistics segment pricing, for the company to save an average of more than 10% of the logistics cost every year. Annual saving of logistics costs of more than 10 million.

The upgrade of the suborder mode directly changes the efficiency of suborder, and the subsequent impact is the cost of production, logistics and other links, which can help enterprises reduce cost waste and bring real benefits. The application of intelligent decision-making in different scenarios such as production scheduling, warehousing management, logistics and transportation is to optimize resource allocation through global planning, allocation or scheduling, and has similar value to enterprise operation and management.