Browsing by Author "Tsai, J. P."

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An agent-based inference system for FMS dispatching
(2007)
Kuo, C. L.
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Ku, C. C.
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Tsai, J. P.
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工業工程與管理學系
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Department of Industrial Engineering and Management
In the era of mass customization and ever-changing market, it is important for enterprises to develop the dynamic and quick-response planning techniques in their flexible manufacturing systems (FMSs). This research paper presents an agent-based inference system, called Intelligent Decision Inference System (IDIS), to support existing FMS for production dispatching. When system integration is required between two separate operating systems, there are many issues to be taken into consideration, including system communication method, data flow design, and application program control. In the past, the most universal method was to integrate databases with two or more systems. However, this method had a main weakness of "data confusion and inconsistent". \'therefore, this research combines the agent, JESS, and related IT technologies to systematically integrate the IDIS with FMS. The agents can easy communicate and deliver the messages, data, or information among the different systems and automatically scan the signals of the programmable logic controller (PLC)/sensors periodically. The method applies web service techniques as a standard information exchange mechanism and the agent communication language (ACL) of the Foundation for Intelligent Physical Agents (FIPA) for multi-agents to communicate/coordinate with each other. The agents, implemented in Java Agent Development Framework (JADE), are designed to decide whether a pallet should be moved in the shop floor of the FMS. Finally, one explicit example about how the cooperative multi-agent supporting the IDIS and FMS integration is presented. The unique contribution of this research is in the integration of expert systems and an agent framework to apply in real-time shop floor control such as FMS.
Identification of net groundwater recharge rate using an expert system model: a case study of Pintung plane
(2012-01-01)
Chang, L. C.
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Tsai, J. P.
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Chen, Y. W.
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Chiang, C. J.
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土木工程學系
Groundwater parameter techniques can be classified into two categories: tried and error methods and auto-calibration methods. Tried and error methods usually are time consuming. Most auto-calibration techniques are optimization techniques which rely on sensitivity analysis or a gradient search, which have increased computational demands with increasing parameter dimension. In addition to run time constraints, the applicability of optimization techniques is restricted by its difficult mathematical set up required in its implementation. This paper develops a rapid parameter calibration model, named RGEIS, using the combination of the expert system model and the groundwater simulation model to reduce the computational time and increase the model applicability. The developed model is applied to identify the net recharge rate, the summation of total recharge and total extraction of the study area, of Pintung plane in southern Taiwan. Pintung plane has an area of 78 km x 30 km with 3 aquifers and complex geological conditions. The study area is divided into 104 parameter zones. Since the planning horizon is 12 months, the total number of the net recharge rate to be calibrated is 1248 (104x12= 1,248). However, only 2,252 seconds are needed for the net recharge identification. The result shows accuracy and efficiency of the proposed model.