Unlock instant, AI-driven research and patent intelligence for your innovation.

Dynamic service level-oriented advance algorithm and application thereof

A dynamic service and service level technology, applied in data processing applications, computing, office automation, etc., can solve problems such as the inability to accurately set the lead time interval of parts, and achieve the effect of improving the accuracy of prediction

Active Publication Date: 2020-08-18
CHENGDU AIRCRAFT INDUSTRY GROUP
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the lead time interval of parts cannot be accurately set in the prior art, the present invention provides a lead time algorithm oriented to dynamic service levels, first setting corresponding safety factors according to different service levels, and then setting the lead time according to the safety factors , and finally get the lead time interval corresponding to the part. For the dynamically changing production plan and service level, the safety factor is used to make prediction corrections to improve the prediction accuracy, and the prediction results provide reference for production planners

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dynamic service level-oriented advance algorithm and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] This embodiment provides a dynamic service level-oriented lead time algorithm, such as figure 1 As shown, it includes step S100-step S400. This embodiment describes in detail how to predict the delivery lead time of the target part A during the production process.

[0029] Step S100: Obtain the completion history data of part A from the ERP system, and calculate the delivery time error tm of part A i , delivery time absolute error [tm] i , average error of delivery time, three average errors Get the average delivery lead time LT for part A.

[0030] Further, the step S100 specifically includes the following steps:

[0031] Step S110: Obtain the completion history data of part A from the ERP system; the completion history data includes the planned delivery time Tp of each period T of part A A and the actual delivery time Tr A :

[0032] Step S120: According to the actual delivery time Tr of each cycle T A Subtract the planned delivery time Tp A , get delivery t...

Embodiment 2

[0048] In this embodiment, on the basis of Embodiment 1, the prediction object is replaced by component B from component B.

[0049] This embodiment provides a dynamic service level-oriented lead time algorithm, such as figure 1 As shown, it includes step S100-step S400.

[0050] Step S100: Obtain the completion history data of component B from the ERP system, and calculate the delivery time error tm of component B i , delivery time absolute error [tm] i , average error of delivery time, three average errors Obtain the average delivery lead time LT of component B.

[0051] Further, the step S100 specifically includes the following steps:

[0052] Step S110: Obtain the completion history data of component B from the ERP system; the completion history data includes the planned delivery time Tp of each period T of component B B and the actual delivery time Tr B :

[0053] Step S120: According to the actual delivery time Tr of each cycle T B Subtract the planned delivery ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of advanced period prediction methods. The invention discloses a dynamic service level-oriented advance period algorithm, which comprises the following steps of: obtaining completion history data of a target object from an ERP (Enterprise Resource Planning) system, and calculating three average errors of a delivery time error, a delivery time absolute error and a delivery time average error of the target object to obtain a delivery average advance period of the target object; selecting a proper service level of the target object, and determining a safety factor of the target object; calculating a delivery safety advance period of the target object according to the average error and the safety factor of the target object; and calculating an advance period interval of the target object according to the delivery average advance period and the delivery safety advance period of the target object. The invention further discloses two typical scenesfor applying the advance algorithm to parts or components. According to the early-stage algorithm, prediction correction is performed by adopting safety factors for dynamically changing production plans and service levels, so that the prediction accuracy is improved, and a prediction result provides reference for production planners.

Description

technical field [0001] The invention relates to the technical field of lead time prediction methods, in particular to a lead time algorithm for dynamic service levels. Background technique [0002] In the make-to-order production system, the lead time is an important factor affecting the competitive advantage of the enterprise in the market. Based on the lead time management to rationally allocate resources, improve enterprise efficiency, save production costs, and achieve the goal of reducing costs and increasing efficiency, it is the next development direction of the enterprise. [0003] Different parts have different processing procedures, and the man-hours required for each process are also different. At the same time, the expected service level of each type of parts is also different. And since service levels are also dynamic based on changes in parts delivery levels, lead times should also be dynamic. How to accurately predict the lead time of various parts based on ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/10G06Q50/04
CPCG06Q10/04G06Q10/0631G06Q10/109G06Q50/04Y02P90/30
Inventor 胡军覃聪宁以晓龚亚琪何致宏
Owner CHENGDU AIRCRAFT INDUSTRY GROUP