GB/T 38358-2019 in English

VALID

Sampling method of quality monitoring for E-commerce product

Issued on:2019-12-31
Implemented on:2020-07-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $220.00
$214.00

Standard No:	GB/T 38358-2019
Document status:	VALID
Title in English:	Sampling method of quality monitoring for E-commerce product
Title in Chinese:	电子商务产品质量监测抽样方法
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2019-12-31
Implemented on:	2020-07-01
ICS Classification:	03.120-Quality
Chinese Classification:	A10-Commerce, Trade and Contract
Professional Classification:	GB-National Standard
Related Keywords:	e-commerce product quality monitoring product quality monitoring quality monitoring e-commerce environment monitoring e-commerce product introduction
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《GB/T 38358-2019电子商务产品质量监测抽样方法》由TC563（全国电子商务质量管理标准化技术委员会）归口，主管部门为国家标准化管理委员会。

Introduction

1. Standard Overview

GB/T 38358—2019 "Sampling Method for E-commerce Product Quality Monitoring" is China's first national standard for product quality monitoring in the e-commerce environment. This standard aims to provide a basis for mastering the overall quality level of products through scientific sampling methods.

2. Interpretation of core content

2.1 Determine the monitoring objects and characteristics

Clearly define the product categories and key quality characteristics that need to be monitored to ensure the pertinence and effectiveness of the sampling survey.

2.2 Construct the sampling frame

The sampling frame is formed through effective sales links, and invalid links are eliminated to ensure the accuracy of the sample.

Standard dimensions	Traditional quality inspection	Innovation in the e-commerce environment
Monitoring objects	Single product line	Commodities sold on the entire platform
Sampling method	Random sampling	Simple random sampling + mystery buyer model

3. Technical implementation and application cases

3.1 Sample size calculation method

The sample size is determined by the formula and lookup table to ensure that the confidence level is not less than 95% and the absolute error does not exceed 3%.