Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A cross-regional rapid response supply chain management method for garments based on big data

A technology for supply chain management and rapid response, applied in data processing applications, buying and selling/lease transactions, instruments, etc., to solve problems such as the inability to replenish products in areas that urgently need products, the inability to divide each region into levels, and the inability to monitor inventory.

Active Publication Date: 2021-09-10
刘遵良
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing technology, the cross-regional supply chain management of services cannot monitor the inventory of each region, resulting in timely and effective replenishment when the inventory is insufficient. able to supplement the product

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
  • A cross-regional rapid response supply chain management method for garments based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] see figure 1 As shown, a clothing cross-regional rapid response supply chain management method based on big data, the specific method is as follows:

[0037] Step 1. Classification: sort each sales area, and classify the sorted sales areas at the same time;

[0038] Step 2, sales analysis: obtain the sales data of each sales area, and analyze the sales data of each sales area;

[0039]Step 3. Inventory detection: obtain the inventory data of each sales area, and analyze the inventory data of each sales area;

[00...

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 discloses a large data-based clothing cross-region rapid response supply chain management method. The invention relates to the technical field of clothing supply chain, and solves the problem that in the prior art, the service cross-region supply chain management cannot perform inventory monitoring on each region , leading to technical problems that cannot be replenished in a timely and effective manner when the inventory is insufficient. Obtain the inventory data of each sales area, and obtain the inventory monitoring coefficient Bi of each sales area through the formula. If the inventory monitoring coefficient Bi of each sales area Bi≥L1, then determine The products in this sales area are sufficient. If L2≤the inventory monitoring coefficient Bi<L1 of each sales area, it is determined that the products in this sales area meet the demand. If the inventory monitoring coefficient Bi<L2 of each sales area, it is determined that the products in this sales area do not meet the demand. , Carry out inventory monitoring in each area, and when the inventory is insufficient, it can be replenished in a timely and effective manner, which improves work efficiency and prevents product shortages.

Description

technical field [0001] The invention relates to the technical field of clothing supply chain, in particular to a large data-based clothing cross-region rapid response supply chain management method. Background technique [0002] E-commerce can be regarded as the vertical development of e-commerce. With the rapid improvement of software and hardware technology, the contradiction between the ever-increasing scale of e-commerce websites and the increasingly personalized needs of consumers can be expected to be resolved. "Intelligent virtual shopping guide robot" can rely on cloud computing and other technologies to intelligently process the massive data resources of the website in the future website, so as to provide consumers with more humanized services. At the same time, using intelligent technology, people can achieve more effective and rapid integration of various cross-platform information, for example, according to the operating characteristics of Internet users and con...

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 Patents(China)
IPC IPC(8): G06Q30/06G06Q10/06G06Q10/08
CPCG06Q10/06315G06Q10/06393G06Q10/087G06Q30/0605
Inventor 刘遵良刘小娟虞琴
Owner 刘遵良
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com