Intelligent decision blessing, open the optimization password of multiple factory orders

Intelligent decision making is a process in which an organization or individual makes comprehensive use of a variety of intelligent technologies and tools to model, analyze and make decisions on relevant data based on established goals. The process synthesizes constraints, strategies, preferences, uncertainties and other factors, and can automatically achieve the optimal decision to solve the increasingly complex production and life problems in the new growth era.

In the intelligent manufacturing decision optimization platform built by Shanshu Technology – Shanshu digital Yi, the demand distribution table can realize the intelligent upgrade of multi-factory orders. The system will model the factory data, distribution rules and business requirements according to the business characteristics of the enterprise. After the input of the order data, the system can automatically consider the order delivery time, cost, income, etc., with the goal of maximizing revenue, solve the order efficiently through COPT solver, match the order with the production capacity of different factories, and output the optimal distribution result.

In the specific sub-order process, enterprises may have multiple demands, such as the lowest cost, the latest delivery time, the least number of factories, etc. In the system, enterprises can flexibly adjust the model and parameters according to different needs, output different versions of the sub-order results, and better sub-order optimization through comparison. For example, the delivery time of a batch of orders is 2 months, and the enterprise can set the delivery time of 2 months and less than 5 factories as constraints to get the lowest cost suborder plan; We can also set the delivery time of one and a half months and the constraint of less than 10 factories to get the lowest cost suborder plan. By comparing different distribution plans, companies can make more informed decisions based on specific circumstances.

Compared with the traditional way, the sub-order mode based on intelligent decision-making breaks through the limitations of human work sub-order in the efficiency of sub-order, can quickly respond to order changes, and meet the sub-order needs of enterprises under different business objectives. In terms of the suborder effect, the global decision-making is more scientific and economic, laying a solid foundation for the follow-up production execution.

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Stimulate the value of long-chain operations and help enterprises grow

As an important part of manufacturing supply chain management, suborder is essentially the fulfillment of demand plan, which has a great impact on subsequent production and shipping. The change of the single mode is not only reflected in the order distribution link, but also its value will radiate to the back end of the production chain to achieve point-to-surface improvement. The practice of leading enterprises also shows that intelligent decision making is helping enterprises achieve business change and profit growth.

For example, a large manufacturing enterprise has a number of factories all over the country, and in the past, after receiving orders, enterprises need to assign orders to different factories for production and delivery by manual distribution, which needs to bear high logistics costs. With the growth of business, the order volume of enterprises has exploded, and manual distribution orders have gradually failed to keep up with business development. In order to reduce the cost and improve the efficiency, the 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 logistics costs per year. Annual saving of logistics costs of more than 10 million.

Semar Smart Scheduling plan overview map

Semar, for example, as a local clothing giant, it has more than a dozen clothing brands, mainly relying on hundreds of supplier factories distributed across the country for production. Previously, when doing capacity allocation and scheduling (suborder), mainly relying on manual experience, high subjectivity, low efficiency, it is difficult to achieve overall optimization. After the introduction of intelligent decision technology, Sugu assisted Sema to reorganize the data and distribution rules of each factory, and built an intelligent ordering system based on Sugu. The system can automatically consider various factors affecting distribution and production, optimize order allocation through intelligent algorithms and solver modeling, order response speed doubled, order production cycle reduced, and greatly improved customer satisfaction through faster delivery times and more accurate order execution. At the same time, the company’s management of hundreds of factories has become more efficient, supplier adhesion has been enhanced, and production costs have been significantly reduced.

All in all, the sub-order mode based on intelligent decision-making can not only pull orders and production resources, improve the flexibility of production management, but also further optimize the supply chain structure, make sales, production and supply more collaborative, effectively shorten the order delivery cycle, and be more suitable for small-batch multi-batch order production needs. In the future, with the advancement of intelligent manufacturing, flexible, efficient and high-quality order allocation will become a necessary capability for manufacturing enterprises, and intelligent decision-making will play a greater role in the intelligent transformation of manufacturing.