A MES-based Kneading Single Scheduling Algorithm for Plate Customized Furniture

Abstract

The invention relates to the field of intelligent production scheduling, in particular to a MES-based plate customized furniture kneading single production scheduling algorithm, comprising the following steps: according to the production line capacity and the plate BOM data, the system calculates the actual production line input output; the MES-based plate customized furniture kneading single production scheduling algorithm comprises: Scheduler confirms the production plan, and the system automatically generates a unique set of order codes for each order randomly; The system classifies the plates on different production lines according to the material description; The system divides the sheets in the same batch into different sheets according to the limit value of the number of sheets in the sheet. The system obtains the process route data, the edge sealing mode data and the stack number limit of the plate, and forms the stack number and the number of the plate. The system obtains theSAW file optimized by CutRite, calculates the actual plate quantity and the remaining material data of the opening list, and forms the plate picking list and the order plate quantity. The invention improves the scheduling efficiency, the accuracy of the production data, the production efficiency and the utilization rate of the equipment of the plate-type customized furniture kneading sheet production.

Description

technical field [0001] The invention relates to the field of intelligent production scheduling, specifically a production information management system based on MES (manufacturing information management system oriented to the workshop execution layer of a manufacturing enterprise) for panel-type customized furniture kneading order scheduling algorithm. Background technique [0002] Panel-type customized furniture fully considers uncertain factors such as the type, quantity, and delivery date of the ordered products, so that the production system has dynamic response capabilities to meet the production needs of multiple varieties and small batches. Panel-type custom furniture enterprises have changed the previous order-to-order production mode, and continue to adopt the kneading-to-order production mode to improve the utilization rate of panels, so as to provide customers with customized products with low cost, high quality and short delivery time. The utilization rate is not...

AI Technical Summary

Problems solved by technology

[0003] (1) Time-consuming and error-prone

When manually kneading and single-row production, it is necessary to classify the boards according to their materials, and optimize the cutting of boards of the same material together. The process of manual judgment and screening is time-consuming and error-prone;

[0004] (2) Insufficient space for material cutting and order sorting

It is difficult to accurately grasp information such as the number of kneading orders and the number of sub-stacks by manual kneading and scheduling, resulting in too many materials in the workshop and insufficient space for sorting, which will also lead to insufficient space for the sorting process and heavy workload;

[0005] (3) The information of the stacked boards is confusing

Manual kneading and single-row production cannot automatically divide the boards into piles according to the process information. Often, the material cutting operators divide the piles based on experience. The processing routes of the boards in the piles are not completely consistent, and they are transferred to the subsequent edge banding and punching equipment. , a second sorting is required

[0006] (4) Low production efficiency

The processing characteristics of the boards are not considered in the manual kneading and single-row production, and it is difficult for the cutting operators to accurately judge the processing characteristics of the boards. The processing information of the same stack of boards is inconsistent, resulting in the need for repeated machine adjustments, low production efficiency, and equipment failure. The utilization rate is low, and the problem of the edge banding process is the most prominent

[0007] It can be seen that the existing panel-type custom-made furniture has technical problems such as low efficiency, high error rate, and poor execution effect. It is difficult to meet the needs of consumers with a higher degree of personalization and shorter delivery cycles, and urgently needs to be improved.

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