Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

Abstract: A system and a method for resource allocation in the semiconductor testing industry are provided. In the system, an industry characteristic conversion module is used to transform the industry characteristic obtained from an input module into a chromosome structure. Next, an artificial intelligence evolution module proceeds to find an optimal solution by handling the chromosome structure until a candidate solution having a maximum final total profit converges to a value.

Abstract: A system and a method of multi-objective capacity planning in the thin film transistor liquid crystal display (TFT-LCD) panel manufacturing industry are provided. The system includes a capacity planning module and a multi-objective planning module. In the present method, a capacity planning plan corresponding to different objective is evaluated by the capacity planning module. A set of constraints of each objective is established by the multi-objective planning module according to characteristic parameters, so as to optimize the objective. Then, the optimized objectives are drawn into a graph to select an appropriate capacity planning plan.

Abstract: A dual-warehouse management system for a supply chain and a method for calculating a minimum of a joint cost thereof are provided. A manufacturer function module and a distributor function module are used to estimate a manufacturer's total cost and a distributor's total cost respectively. Afterwards, a joint cost optimization module is used to calculate a minimum joint cost. Accordingly, a product lot and a delivery time of a deteriorating item delivered from the manufacturer to the distributor are obtained in a planning horizon.

Abstract: A method for analyzing development data of an airport city is provided. First, a construct collecting database including a plurality of construct classes is provided, wherein each of the construct classes is corresponding to at least one keyword. Then, a text analysis is executed to the development data of the airport city to divide the development data into a building phase and an operating phase, and a plurality of construct messages is respectively captured from the development data of the building phase and the development data of the operating phase according to the keywords in the construct collecting database. Next, each of the construct messages is linked to a corresponding object according to the corresponding construct class and an occurrence time of the construct message. Finally, relations between the objects are established according to a construct relation data.

Abstract: A system and a method of planning global logistics for a TFT-LCD manufacturing industry are provided. The system includes an input module and an industry characteristic planning module with a front-end process transformation module and a back-end transportation allocation module. The input module is used for selecting a performance index and inputting related parameters such as manufacturing parameters and shipping parameters. The front-end process transformation module calculates the number of each semi-finished product at each of the front-end TFT-LCD manufacturing factories so as to estimate an glass substrate input quantity for each respective front-end TFT-LCD manufacturing factory.

Abstract: A system and a method of multi-objective capacity planning in the TFT-LCD panel manufacturing industry are provided. The system includes a capacity planning module and a multi-objective planning module. In the present method, a capacity planning plan corresponding to different objective is evaluated by the capacity planning module. A set of constraints of each objective is established by the multi-objective planning module according to characteristic parameters, so as to optimize the objective. Then, the optimized objectives are drawn into a graph to select an appropriate capacity planning plan.

Abstract: A system and a method for resource allocation in the semiconductor testing industry are provided. In the system, an industry characteristic conversion module is used to transform the industry characteristic obtained from an input module into a chromosome structure. Next, an artificial intelligence evolution module proceeds to find an optimal solution by handling the chromosome structure until a candidate solution having a maximum final total profit converges to a value.

Abstract: A dual-warehouse management system for a supply chain and a method for calculating a minimum of a joint cost thereof are provided. A manufacturer function module and a distributor function module are used to estimate a manufacturer's total cost and a distributor's total cost respectively. Afterwards, a joint cost optimization module is used to calculate a minimum joint cost. Accordingly, a product lot and a delivery time of a deteriorating item delivered from the manufacturer to the distributor are obtained in a planning horizon.