Abstract: A production performance management device and a production performance management method thereof are provided. The production performance management device includes a connection interface, a storage and a processor. The connection interface receives production data. The storage stores the production data and a production performance management program. The processor runs the production performance management program. The production performance management program defines a main objective, a plurality of measurement indices, a plurality of factors, a custom mapping function between the main objective and the measurement indices and a plurality of specific mapping functions between the measurement indices and the factors, and uses the custom mapping function and the specific mapping functions to decide a factor value of each of the factors from the production data to make a main objective value of the main objective meet a main constraint.

Abstract: A performance management system, method and a non-transitory computer readable storage medium are disclosed herein. The performance management system includes a value-driven management module and an integrated control module. The value-driven management module includes a value-driven model configuration unit and a value-driven target configuration unit. The value-driven model configuration unit is configured to configure a value-driven model with a plurality of targets, and the targets respond to a plurality of factors. The value-driven target configuration unit is configured to set a goal value for each of the targets. The integrated control module is configured to monitor a performance of a building in accordance with the goal value for each of the targets and the value-driven model.

Abstract: A system and method for determining an expected profit obtained through financing or selling a commodity is disclosed. Financial information from a selected customer is obtained and entered into a computer. Historical data from a remote database is requested. The requested data is a subset of the historical data in the database, with data selected based on the financial information. A plurality of curve fitting models are applied to the historical data subset to form a plurality of historical data subset fitted curves. A likelihood probability value of each fitted curve is calculated and a best fitted curve is selected. A profit function curve and the best fitted curve are combined to form an expected profit curve. Information from the expected profit curve is displayed to enable a finance offer or offer for sale to be made based on the information.

Abstract: A method (and structure) for developing a distribution function for the probability of winning a bid by a seller for a product or service, using the seller's own historical data for winning bids and lost bids, includes normalizing the data for winning bids and the data for lost bids and merging the normalized data into a single set of data.

Abstract: A method for demand planning of products. The method comprises the steps of constructing a configure-to-order operation/multiple building block environment; and, forecasting the demand of the building blocks within this environment for establishing an efficient supply chain management.

Abstract: A method (and structure) for developing a distribution function for the probability of winning a bid by a seller for a product or service, using the seller's own historical data for winning bids and lost bids, includes normalizing the data for winning bids and the data for lost bids and merging the normalized data into a single set of data.