Introduction

Packaging, as an important section of modern industry development, accounts for a large proportion of cost in the entire production chain. According to investigation, the majority of companies have encountered packaging quality issues during the production, transportation, and retail of their products. However, few of them know much about packaging materials, understand how to determine the reliability of packaging materials in use, or implement specific quality control measures. Such unawareness of packaging safety has caused serious product quality and safety issues, which greatly influenced the company in both economy and reputation. Therefore, how to prevent packaging safety issues and how to establish corresponding control system are the vital problems for a company to resolve and the necessary path to get through during development.

Nowadays, as the development of production system toward automation, intelligence, and modernization, some companies have implemented effective packaging quality control measures. But almost no one has established a system by utilizing information technology to uniformly manage quality data, precisely analyze quality data, and consequently guide and improve production. To build such quality control system, the following advantages are what you should consider:

In order to help companies related to packaging application to establish an information technology based packaging safety control system, Labthink has developed a set of packaging testing data management system—ULab Testing Data Integrated Platform, which provides data management services for companies with self-established laboratories or quality control centers.

For companies that are capable of establishing self-managed testing laboratories, their technical staff are usually required to read and record the test results from the testing instruments followed by a series of calculation and processing to make the test report when a test is finished. The time to generate a final report usually depends on the expertise of the operator and the amount of work is heavy since almost everything is manually operated. Another issue to be concerned is that sometimes errors may be brought in due to human factors. Furthermore, as the amount of paper-based reports grows and the quality data increases, it is difficult to manage such information and is challenging to perform data analysis and statistics. Therefore, companies need to focus on how to achieve automatic data processing in order to control cost and improve competency. They also need to establish a reliable packaging quality control system in order to exploit the potential value of big data. The factory test data management function of ULab is such an ideal candidate that it can automatically collect, integrate, process, and store testing data and information in the platform uniformly, therefore helps to establish an automatic testing workflow. This function also makes it easier and more convenient to quickly view and manage stored data, perform data analysis and risk control, and finally improve packaging quality control capability.