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.

페트리 네트(Petri Nets)는 이산 사건 시스템을 모델링할 수 있는 그래픽하고, 수학적인 도구이다. 본 연구는 유연 제조 시스템을 확률적인 페트리 네트(Stochastic Petri Nets)중의 하나인 임베디드 마코프 체인(Embeded Markov Chain)에 도입하고, 임베디드 마코프 체인의 방법 중에 하나인 일반화된 확률적 페트리 네트(Generalized Stochastic Petri Nets)에 적용시켰다. 그리고 결과치의 정확성을 알

Petri Nets(PNs), as a graphical and mathematical tool, provide a uniform environment for modeling, formal analysis, and design of discrete event systems. The main objective of this paper is to model and analyze the manufacturing system using PNs as well as simulate the manufacturing system. The analysis method used in this paper is Embedded Markov Chain(EMC) method for Generalized Stochastic Petri nets(GSPN). The simulation tools used in this paper are Arena and Simnet V. 1.37. The results of three methods, EMC method, PNs simulation and Arena simulation, are obtained and compared.

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

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.

Gradually recent automatic systems require how to manipulate all shared internal resources of system including components manufacturing equipments. Especially practical operation schedulings of manufacturing are gradually inevitable procedures in dynamic industrial environments. We suggest and evaluate a dynamic scheduling rule of machine and material handling system for on-line operation in job shop type FMS. Because alternating status should be included in operation scheduling procedures effectively and without delay in dynamic industrial environments, the mutual interaction between the machine operation scheduling and AGV dispatching rule was also studied to be based on simulation. This study compared the performance of the evaluation which was obtained from Dynamic Scheduling of FMS, and developed the Priority Rule Matrix for switching mechanism in dynamic environment by using those results.