Abstract: Information that specifically points out quality problems in manufacturing processes can be provided to a supplier, thereby providing techniques capable of improving procurement quality. A present procurement quality improving system 1 has a calculating device 11 having a processing function of calculating problems of the manufacturing processes of the supplier and a data storage device 12. The data storage device 12 stores supplier QC process-chart information (D1), process FMEA information (D2) including quality related information, etc. The calculating device 11 has a matching calculating unit 111, which carries out a processing of associating D1 with D2, a first display calculating unit 112, which carries out a processing of presenting the information including quality problem information, etc. calculated by the association to the supplier, etc.

Abstract: An issue to be settled by the present invention is to define a simulation model in accordance with the structure of a causal relation easy to be understood by human and to shorten greatly a simulation program development period. A simulation program is automatically generated by extracting, as nodes, specific items such as phenomenon, events and targets of constituent elements of economy, society or the like regarded as a system, coupling the nodes with arcs to define the structure of the causal relation, and defining a variable necessary for calculating metrics and a calculation formula therefor, relative to a simulation model inheriting the defined structure.

Abstract: A simulation model generator presents a screen view which defines causality between phenomena and events using nodes and links to support user's input operation. The generator includes a database for storing and controlling in a centralized way, metric information representing, for each of the registered phenomena and events, a quantity indicating a magnitude of the phenomenon or the event; unit information including, for each unit, a unit name, a conversion coefficient, and a time flag determining whether the unit is associated with time; coefficient information including coefficient name and coefficient value to be used in a metrics calculation formula, and a simulation time bucket representing a period of time per time step in the simulation; and a simulation model generating module for generating a simulation model using data registered to the database.

Abstract: An issue to be settled by the present invention is to define a simulation model in accordance with the structure of a casual relation easy to be understood by human and to shorten greatly a simulation program development period. A simulation program is automatically generated by extracting, as nodes, specific items such as phenomenon, events and targets of constituent elements of economy, society or the like regarded as a system, coupling the nodes with arcs to define the structure of the casual relation, and defining a variable necessary for calculating metrics and a calculation formula therefor, relative to a simulation model inheriting the defined structure.

Abstract: A simulation model generator presents a screen view which defines causality between phenomena and events using nodes and links to support user's input operation. The generator includes a database for storing and controlling in a centralized way, metric information representing, for each of the registered phenomena and events, a quantity indicating a magnitude of the phenomenon or the event; unit information including, for each unit, a unit name, a conversion coefficient, and a time flag determining whether the unit is associated with time; coefficient information including coefficient name and coefficient value to be used in a metrics calculation formula, and a simulation time bucket representing a period of time per time step in the simulation; and a simulation model generating module for generating a simulation model using data registered to the database.