International Business Machines Corporation

Yunhee Jang

Thomas Robert Ervolina

Vikas Agrawal

Heng Cao

Richard D Lawrence

Grace Y Lin

Yingdong Lu

Roger R Gung

Methods, systems and apparatus for providing a variety of end product build plans based on multiple business scenarios for exhausting excess inventory. Raw financial data and variable scaling factors are input into a scenario engine component along with a business objective that contains logic. The scaling factor may be embedded within the logic of the business objective, or it may be selected by a user to indicate the user's preferences. The scenario engine then applies the financial data and variable scaling factor inputs to the business objective logic to generate modified financial data. The logic of the business objective may also be manipulated to provide modified logic. The modified financial data, and optionally the modified logic, are then input into an optimizer component for determining multiple portfolios for end products that, if built, would consume excess inventory.

Method of generating multiple recommendations for multi-objective available-to-sell (ATS) optimization problem

Methods, systems and apparatus for providing a variety of end product build plans based on multiple business scenarios for exhausting excess inventory. Raw financial data and variable scaling-factors are input into a scenario engine component along with a business objective that contains logic. The scaling factor may be embedded within the logic of the business objective, or it may be selected by a user to indicate the user's preferences. The scenario engine then applies the financial data and variable scaling factor inputs to the business objective logic to generate modified financial data. The logic of the business objective may also be manipulated to provide modified logic. The modified financial data, and optionally the modified logic, are then input into an optimizer component for determining multiple portfolios for end products that, if built, would consume excess inventory.

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.

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Poughkeepsie, NY, United States of America

Yunhee Jang