Research And Development Of WEB Based Production Process Quality Tracking System

As the economic globalization develops and the international business correlation becomes more frequently and tightly, the competition in manufacture industry on the global market is getting fierce. Although there are more opportunities come up for enterprises, there are also challenges and intense.Product quality, price, time of delivery reflects the core competition capability of an enterprise. This fact requires business owners to adapt themselves to the market quickly, to adjust their strategies accordingly. Mean while, Business organizations also need to improve product quality, to reduce start-up investment, and shorten product delivery time, thus to win over other competitors. Additionally, produce, manufacture, management is the key factors that affect the quality, price and product time of delivery.This thesis firstly gives an overview upon the conception, current research outcomes of quality tracking system. Following up is the introduction of relevant technologies applied on quality tracking system, which is based on manufacturing execute system. The technologies introduced include platform built-up, web development and system testing. The objective is to analysis and compares several popular web databases in order to design a series of query functionality that allows user to define parameters on the web user interfaces as to control the expected output results. Furthermore, given the popular server configurations, the tracking system being discussed here will be built up in a separated manner. The goal is to define customized web search pattern, data queries, report and printing functionalities by utilizing the external interfaces provided by the manufacturing system. This allows increasing system flexibility, querying efficiency, reducing coupling etc. Systems will be using same database, providing product quality management information for manufacture department, quality control department, engineering department. The system will also eliminate manual report, and search, count up, analyze quality control data, and distinguish data with random fluctuations. As a result, it ensures product quality and eliminates negative factors at an early stage.