Abstract : Advanced Integrated Manufacturing Environments (IMEs) require not only technological advancement but, more importantly, a sophisticated conceptual framework. This paper argues for the importance of SPC within an IME from the perspectives of the relationship between Statistical Process Control (SPC) and Computer Integrated Manufacturing Systems (CIMS) and from the angle of quality improvement. It proposes that SPC is a crucial component of advanced manufacturing technology, manifested in the automation and intelligence of SPC systems. IMEs place new demands on SPC technology, while the application of SPC systems will provide strong guarantees and support for the realization of new quality concepts in enterprises. Role and Function of SPC Under Enterprise CIMS Environment Abstract: Based on the characteristics that an advanced manufacturing environment requires not only technological advancements but, more importantly, advancements in manufacturing perspective, this paper demonstrates the importance of SPC in advanced manufacturing environments from the perspective of the relationship between SPC, APC, and quality improvement. It presents the view that SPC is a crucial component in advanced manufacturing environments and points out that its form will be the automatic SPC system. The new quality perspective in advanced manufacturing environments requires individualization, integration, and informatization, etc., and the SPC system provides strong physical guarantees and support. 0 Introduction Today's manufacturing industry's utilization of information technology has surpassed the era of single technologies such as CAD, CAM, CAPP, and MRP. A unified, efficient, and flexible information integration system is an indispensable infrastructure for enterprises in the knowledge economy environment. Modern Integrated Manufacturing Systems (CIMS) are the supporting technologies for building such a system, emphasizing information integration and the principle of enterprise-centricity, enabling enterprises to achieve flexibility in planning, production, service, and management through information technology. However, for my country to transform from a manufacturing giant into a manufacturing powerhouse, product quality is the most advantageous strategic competitive weapon and the key to enterprise survival and development. Therefore, in the context of a modern integrated manufacturing system (CIMS), the role and status of the SPC system become increasingly important. Currently, enterprises' business objectives have shifted from output to quality; non-price competition has become the main means of international competition; customers have increasingly higher demands for product quality; and the social environment places even higher demands on product quality. Traditional quality control relies on inspecting the final product and screening out non-conforming products. This inspection strategy is usually wasteful and uneconomical because it is a post-event inspection after non-conforming products have been produced. The emergence of SPC technology has transformed quality management from this passive, post-event control to a proactive, pre-event prevention approach. Through production data collection, SPC theory is used to analyze and calculate the data, which is then represented graphically. When the graph shows a trend towards non-conformity, an automatic warning is issued, allowing on-site personnel to make timely adjustments and avoid the production of non-conforming products. This significantly reduces enterprise production costs and enhances the enterprise's competitiveness. 1. Quality Perspective in Advanced Integrated Manufacturing Environments Advanced integrated manufacturing technology is not simply automation and computerization, but a comprehensive technology that governs the entire manufacturing field. It is a complete scientific system that has formed and evolved alongside economic and scientific development. Advanced integrated manufacturing environments (IMAs) have formed and developed alongside economic globalization, possessing not only technological advancements but, more importantly, advanced concepts. An advanced integrated manufacturing environment demands a new quality perspective. First, an advanced integrated manufacturing environment must be based on a "people-oriented" approach. Improving quality is the social responsibility of every individual and every enterprise. Examining quality issues from the perspective of the entire society and humanity, and embracing the ideas of "altruism" and "unity of self and others," is essential to ensuring the application of effective quality regulations and methods. Second, "customer success" is the core of quality. Traditional quality perspectives focus on "conformity quality," pursuing "product qualification." Simply ensuring product qualification is no longer appropriate. It is necessary to communicate meticulously with customers, promptly and accurately meet their potential needs, and achieve optimal customer satisfaction. Finally, "standardization" plus "customization" will be the foundation of product quality. The foundation of product quality should be a combination of "standardization" at the component level and "customization" at the product level. In the era of personalized production, only by carefully studying the consistency of the inherent functions of products and the diversity of demands caused by various differences, and achieving a combination of "standardization" and "customization," can enterprises continuously design, develop, produce, and provide consumers with high-value-added products quickly, thus standing out in fierce competition. The realization of the new quality concept requires scientific management methods. "Standardization" at the component level provides a broad prospect for the application of SPC. SPC, as a scientific management method, will provide a fundamental guarantee for the realization of the new quality concept. SPC can play a role in after-sales service. Based on the detailed basic data saved by SPC, predictions can be made in advance regarding user usage of the product. Through SPC, enterprises can understand the overall distribution of the quality of the products they produce, and then propose improvement measures to improve customer satisfaction. Through SPC, enterprises can establish certain estimation models in advance to control sales and after-sales service costs. 2. The Position of SPC in Advanced Integrated Manufacturing Environments After entering the 1990s… In modern quality engineering based on advanced manufacturing technologies, the concept of quality has a deeper understanding and higher requirements. Previously, process quality control technologies, primarily based on Statistical Process Control (SPC), are increasingly demonstrating their importance in advanced integrated manufacturing environments. Inspection and measurement are crucial functions of advanced manufacturing technologies. During monitoring, quality can stem from two factors: the quality of the manufacturing process itself and the quality of metrological testing. The quality during monitoring is a synthesis of these two aspects. Therefore, to distinguish it from traditional quality concepts, metrological testing is also considered a vital link in quality control. Technological development takes precedence over specific product development, thus becoming the source of quality control. During production and processing, the quality of both components and final products can be characterized by the magnitude of fluctuations in quality characteristic values; smaller fluctuations indicate higher quality levels. 2.1 The Relationship Between Statistical Process Control (SPC) and Automated Process Control (APC) The main methods for quality control in advanced manufacturing environments are Automated Process Control (APC) and Statistical Process Control (SPC). Both APC and SPC share the same objective: to monitor and adjust processes to maintain them at their original design levels. However, their backgrounds and working principles differ significantly, representing two distinct control strategies. APC controls and adjusts the production process through feedback and compensation, while SPC uses statistical methods to maintain process stability. APC ensures quality from a technical perspective, while SPC controls quality from a management perspective. From a technical standpoint, advanced manufacturing technologies possess sophisticated inspection methods and APC systems with feedback control, making lean manufacturing and agile manufacturing sufficient to meet product quality requirements. This is based on the premise that advanced online inspection and feedback control can ensure all parts are合格 (qualified/compliant). However, a new quality perspective argues that the goal of quality control is not merely product qualification, but rather the pursuit of "reasonable quality." Practice has shown that products that appear perfectly合格 (qualified/compliant) may harbor significant quality risks that APC alone cannot detect beforehand, remaining only a reactive control method. This "post-inspection" control model, relying solely on the system's inherent functions, cannot achieve the advanced concept of "preventive control." Based on the guiding principle of "prevention is better than cure," SPC emphasizes the role of data and stresses quality control from a management perspective rather than a technical one. By collecting a large amount of data and utilizing statistical techniques, problems are identified promptly. A combination of early warning and feedback control ensures that process quality remains stable, thereby guaranteeing product quality stability with minimal quality loss. SPC embodies the scientific management philosophy of "basing everything on facts," emphasizing the analysis and research of facts (data) to arrive at objective and impartial conclusions. SPC complements and depends on APC to achieve the goal of quality assurance. SPC can obtain basic data using APC's online measurement devices, while APC can use SPC for system maintenance, improvement, and enhancement. 2.2 The Role of SPC in CIMS CIMS is one of the main forms of representing advanced manufacturing technology. As an important component, SPC provides enterprises with advanced and efficient means to more effectively achieve quality objectives. The overall function of the quality control system in a CIMS environment can be divided into three parts: quality planning, manufacturing process quality management, and comprehensive quality information management. The content of the manufacturing process quality management part includes: collecting, storing and inspecting incoming quality data; controlling the quality of processing steps; inspecting the status of processes, comprehensively evaluating and analyzing process quality; tracking the quality of parts processing; auditing and managing information on the handling of various defective products; collecting, analyzing and providing feedback on various quality problems found in the manufacturing process. As the central link of enterprise activities, the quality of the manufacturing process is the ultimate manifestation of the effectiveness of the entire quality system. The quality data of products in the production process is one of the most important basic data in the entire quality system. SPC provides an effective means for data collection, analysis and processing. 3 The role and development trend of SPC in advanced integrated manufacturing environment 3.1 The role of SPC in advanced integrated manufacturing environment (1) Prevention of manufacturing process quality problems. Through SPC, the status and development trend of manufacturing quality and manufacturing process can be predicted, so as to take corresponding preventive measures for possible quality problems in advance. SPC analyzes the root causes of quality problems through prevention and evaluation, finds out the causes of quality problems, and prevents and eliminates them. (2) Process-oriented quality control. Traditional SPC performs statistical analysis on the inspection structure by inspecting the final quality parameters of the product, and then judges whether it meets the product design and process design requirements. The new concept is to monitor the process parameters of the entire production process, such as equipment operating parameters, and use SPC to perform statistical analysis on various parameters to determine whether the process is normal or whether there is an abnormal development trend. (3) Application in other stages of the product life cycle. The new quality concept believes that quality assurance runs through the entire product life cycle. All processes in the product life cycle can be regarded as processes similar to the manufacturing process, and each has its own process parameters. These process parameters can be analyzed through statistical methods to carry out quality control. (4) Integration of SPC with enterprise information systems. Under the trend of integration and informatization in the manufacturing industry, SPC, as a subsystem, can be organically integrated into the enterprise's large system, thereby making the entire enterprise management system more complete and effective. 3.2 Development trend of SPC in advanced integrated manufacturing environment (1) Realization of computerization. To ensure the effectiveness of SPC, computerization must be realized. Since one of the characteristics of advanced manufacturing environment is informatization, computer technology and network technology have been integrated into the daily management of enterprises, and SPC must also abandon the traditional manual analysis method. (2) Realization of networking. One of the main characteristics of advanced manufacturing environments is that product design, manufacturing, and sales are realized in a dynamic form, requiring mutual exchange of quality information between departments. With the help of the network, basic quality data and statistical analysis results of each department can be queried. The network will shield the sense of space, making this query just like querying basic information within one's own department. (3) Achieve integration. The widespread application of advanced manufacturing technology will take the integration of various technologies as the main means. And try to avoid the "island" phenomenon as much as possible. SPC will also be integrated into a higher-level information system to be fully applied. An SPC system that meets the above requirements will provide strong material guarantee and support for the realization of the new quality concept. 4 Enterprise application prospects of SPC With the rapid development of enterprise informatization, with the help of network information technology, database storage technology, and the construction of high-performance network platforms, the SPC statistical process control system can break through the traditional SPC implementation mode, and develop from offline, decentralized open-loop control to online, systematic closed-loop control. The real-time collection, calculation and analysis of a large amount of data required can be easily realized with the help of the network system. Implementing the "Statistical Process Control System (SPC)" changes the traditional discrete and simple manual operation method, replacing it with automatic data collection, real-time online, and network control, becoming an indispensable part of enterprise informatization. Through real-time quality control of the production process, it realizes the shift from "post-production inspection" to "prevention of non-conforming products". It continuously improves the product qualification rate, reduces costs, increases enterprise efficiency, enhances customer satisfaction with products, and strengthens the enterprise's competitiveness. References: [1] Tong Shurong, Liang Gongqian. Statistical Process Control in Advanced Manufacturing Systems. Aeronautical Engineering, 2000(4): 12-13 [2] Yang Shuzi, Wu Bo. Advanced Manufacturing Technology and Its Development Trends. Qiushi, 2004(4): 47-49 [3] Hou Xianrong. The New Quality Concept in the 21st Century. Industrial Engineering and Management, 2001, 6 (1): 13-15 [4] Guh R S. Integrating artificial intelligence into online statistical process control [J]. Quality and Reliability Engineering International, 2003, 19 (1): 1-20. [5] Huang GQ, Mak KL. Issues in the Development and Implementation of Web Applications for Product Design and Manufacture． International Journal of Computer Integrated Manufacturing, 2001, 14(1): 125-135 [6] Yuh Min, Chen Liang, Ming wu. Design and Implementation of a Collaborative Engineering Information System for Allied Concurrent Engineering． International J. of Computer Integrated Manufacturing, 2000(16): 9-27 Author Information: Deng Weiwei, female, born in 1980- Bachelor's degree, Engineer, Unit: Quality Department, Jinan Bridge & Gearbox Co., Ltd., China National Heavy Duty Truck Group, Research Direction: Quality Control and Measurement Technology of Mechanical Manufacturing Process, Mailing Address: Supervision Office, Quality Department, Jinan Bridge & Gearbox Co., Ltd., South End of Dangjia Town, Shizhong District, Jinan City, Shandong Province, 250116, China, Tel: 13793169630, EMAIL: [email protected] Fang Jitao, male, born in 1980- Doctoral candidate, Unit: School of Mechanical Engineering, Shanghai University, Research Direction: Information Technology of Manufacturing Enterprises, Quality Control and Measurement Technology of Mechanical Manufacturing Process, Tel: 15853289232, EMAIL: [email protected]