Abstract: The availability of relevant business resources, or supply, during a global crisis or disruption are estimated by using a forecast of a baseline supply of human resources and various forms of infrastructure and raw materials for a firm as input. That forecast is corrected to account for the impact of a crisis or other disruption, and a corrected forecast as output is provided. The corrected forecast reflects changes in the availability of business resources due to the crisis or disruption, dependencies between resources, as well as any mitigating effects resulting from the implementation of mitigation policies.

Abstract: 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.

Abstract: A system and method estimates performance of a supply chain's available-to-promise (ATP) and scheduling functions under various environmental and process assumptions. The supply chain's transformation alternatives are identified using a plurality of modules constituting a supply chain model and including a demand planning module, a configuration planning module, an order scheduling module and a supply planning module, each of said modules being reconfigurable using various policies, which policies, taken together, specify a particular supply chain design that is to be analyzed. A supply chain data base is accessed by the supply chain model to retrieve data elements that dictate appropriate policies within said plurality of modules. The supply chain performance is simulated based on settings of the modules and other environmental factors including demand uncertainty, order configuration uncertainty, supplier flexibility, supply capacity, and demand skew.

Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

Abstract: A method of creating a systems requirement document by using a numerical modeling tool, such as a spreadsheet, to prototype an operational process in terms of a numerical picture of the goals, metrics, performance targets and constraints used by managers of the operational process. A process design blueprint is defined for the operational process, including data sources and data sinks. A representative model of the process design blueprint is created. If the model is not detailed enough for implementation by IT professionals, model objects and data flows are added to the blueprint and the representative model is modified to be consistent with the blueprint. Surrogate calculations may be made for computational task objects or, alternatively, separate process design blueprints may be generated for such computational task objects. This cycle is repeated until the model is detailed enough for implementation.