A Study of Cloud-based Advance Planning and Scheduling System Framework and Modeling Approach for Automotive Parts Manufacturing Industry

Autor: LIU, JEN-LI, 劉蓁莉
Rok vydání: 2019
Druh dokumentu: 學位論文 ; thesis
Popis: 107
Digitization has been the main driving force of manufacturing efficiency and quality improvement in recent years. Combined with the Cyber-Physical System (CPS) which connect physical object and computational capabilities, the manufacturing industry facing the global trend of intelligent manufacturing. To enable manufacturers to gain competitive advantage in the global manufacturing environment, the Advanced Planning and Scheduling (APS) system utilizes advanced information technology and planning techniques to change production planning, scheduling, forecasting, capacity load assessment, and communication between customers and suppliers. Most of manufacturing still heavily rely on the excel-based production planning and scheduling of ERP systems are widely used today in Taiwan, because the production characteristics and the number of machines of each process are very different. This way causes the system can't ensure the planning result is effective use of the machine capacity and accord with the actual production status. Although use APS can satisfy the specific production characteristics and planning constraints, the company need to pay the high implementation cost and lack a great modeling approach. The small and medium-sized manufacturing enterprises (SMEs) import advanced planning and scheduling systems have difficulty challenge. This paper combines the characteristics of cloud computing and the information integration ability of APS, to proposes a cloud APS architecture and system functional modules suitable for the current requirements of industry. Then develops an appropriate modeling method based on the existing production planning process. Finally, applied in a well-known automotive parts manufacturing company in Taiwan, to verify that this method can solve the problems in imported the APS in SMEs. So the industry can achieve more accurate scheduling according to market dynamic change, greatly reduce the time of system import and the cost of human resources.
Databáze: Networked Digital Library of Theses & Dissertations