A system and method for order dispatch scheduling and mixed product sorting

Abstract

The invention discloses an order distribution scheduling and mixed product ordering system and method. The system comprises an input module, a cloud storage module, a processing module and an output module. The input module, the processing module and the output module are connected with the cloud storage module. The method comprises steps of determining production line available time according to real-time demands of orders, real-time demands of mixed products of scheduled orders in a former planned period and total demands of quasi-scheduled mixed products in a current planned period; distributing orders of different mixed products and delivery times to different parallel processing lines; and comprehensively considering setting time of products on each machine table to generate a mixed order-product production scheduling plan of each production line, maximizing the probability of completing products on each processing line in time in each plan period, and timely updating production programs of a numerical control machine tool. The objects of properly distributing different client orders to parallel production lines by batch according to differences in delivery times and items and further generating a production scheduling plan of each production line are achieved.

Description

technical field [0001] The invention belongs to the technical field of numerical control machine tools, and more specifically relates to an order dispatching scheduling and mixed product sorting system and method. Background technique [0002] In manufacturing enterprises, there is a large amount of real-time information on new customer orders and processed products. Timely acquisition and processing of information is extremely important for improving production efficiency; one of the problems faced by high-capacity hybrid manufacturing enterprises is the production resources. The order allocation and sorting of different products on the Internet; the enterprise dynamically receives multiple customer orders, and the delivery requirements of each order product are different; and for each planning cycle, the order demand allocation and production scheduling of each production line product are different due to the different planning cycles However, continuous adjustment is requ...

AI Technical Summary

Problems solved by technology

[0003] The demand for products in the flexible production line is large, and there are many processing procedures. It is difficult to determine the optimal insertion point for new customer needs in the current production planning cycle.

In addition, since each flexible production line can have different product production rates, it is difficult to allocate flexible production lines for different customers with different delivery dates and orders for different products

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