This is the research report concerned with designing and making of the flexible manufacturing system for educational training. The flexible manufacturing system is composed of several mechatronic(mechanical and electronic) subsystems which are automatically controlled by computer program. The main subsystems are materials feeder unit, automatic guided vehicle, robot for moving parts, indexing and stamping unit and computer system and more subsystems can be added for specific manufacturing processes. This dissertation includes the design and production characteristics of flexible manufacturing system for educational training. Finally, the educational training equipment is made and demonstrated in this research and is expected to use in various educational institutions, for example, technical educational and practical industrial training institutions.

This study deals with the case study on the pallet quantity determination problem for the flexible manufacturing system producing 32 different types of aircraft wing ribs which are major structures of an aircraft wings. A Korean company has constructed the WFMS (wing rib flexible manufacturing system) that is composed of several automated equipments such as the 5-axis machining centers, the RGV (rail guided vehicles)s, the AS/RS (automated storage and retrieval system), the loading/unloading stations, and so on. Pallets play a critical role in the WFMS to maintain high system utilization and continuous work flow between 5-axis machining machines and automated material handling devices. The discrete event simulation method is used to evaluate the performance of the WFMS under various pallet mix alternatives for wing rib manufacturing processes. Four performance measures including system utilization, throughput, lead-time and work in process inventory level are investigated to determine the best pallet mix alternative. The best pallet mix identified by the simulation study is adopted in setting up and operating a real Korean aircraft parts manufacturing shop. By comparing the real WFMS’s performances with those of the simulation study, we discussed the cause of performance difference observed and the necessity of developing the CPS (cyber physical system).

Reliability evaluation considering the qualitative factors is major criterion for customer's satisfaction with the products. Especially, the normalized model is very efficient method for the systematic evaluation of hazardable possibility. Therefore this paper presents reliability evaluation model through the normalized model by the quantitative and the function, information control, flexibility, and maintenance factors in the flexible manufacturing systems under uncertainty. Finally, this paper can be simply used in the more efficient decision making in flexible manufacturing systems under uncertainty.

Changes in manufacturing system are those that occur during production and cause the systems to behave unpredictably. So scheduling problem in this dynamic industrial environments is very complex. The main concept of this dissertation is to continuously m

Change in manufacturing systems are those that occur during production and cause the systems to behave unpredictably. So scheduling problem in this dynamic industrial environments is very complex. The main concept of This dissertation is to continuously monitor a manufacturing system' status(RPJ, RLJ, RSDJ, JIT) and detect or predict a change so that scheduling system will react by Modifying production schedule(dispaching rule) to lessen the effects of this change.

Modem automated manufacturing processes employ automated guided vehicles(AGVs) for material handing, which serve several machining centers(MCs) in a factory. Optimal scheduling of AGVs can significantly help to increase the efficiency of the manufacturing

Modern automated manufacturing processes employ automated guided vehicles(AGVs) for material handling, which serve several machining centers(MCs) in a factory. Optimal scheduling of AGVs can significantly help to increase the efficiency of the manufacturing process by minimizing the idle time of MCs waiting for the raw materials. In this paper, we will analyse the requirements for an optimal schedule and then provide a mathematical framework for an efficient schedule of material delivery by an AGV. With this model, the optimal number of MCs to be utilized will also be determined. Finally, the material delivery schedule employing multiple journeys to the MCs by the AGV will be carried out. Through rigorous analysis and simulation experiments, we shall show that such a delivery strategy will optimize the overall performance.