Abstract: Market demand is estimated for a firm under crisis, beginning with an operational demand forecast of a firm as input, correcting that forecast to account for the impact of a pandemic or other extraordinary market-disrupting circumstance, and providing a corrected operational demand forecast as output. The correction to account for the impact of an extraordinary market-disrupting circumstance is based on an estimated economic impact of the disruption and an estimated reduction of the firm's sales force attributable to the disruption.

Abstract: A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.

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 system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.

Abstract: A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.

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: 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 system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.

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: The carbon footprint of a supply and distribution chain is modeled as a carbon dioxide (CO2) cost that can be considered alongside monetary or dollar ($) costs in supply, manufacturing, and distribution operations. Databases on products and services, supply chain policies, and targets, costs, and/or greenhouse gas (GHG) emissions are used by a GHG calculator to output carbon footprint data and/or by a supply chain optimizer to output supply chain planning and policy data. Client computers obtain carbon footprint and/or supply chain planning and policy data by querying a server with access to a database storing calculated carbon footprint data. Input data to the GHG calculator is updated based on choices made by users of the system.

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.

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: Market demand is estimated for a firm under crisis, beginning with an operational demand forecast of a firm as input, correcting that forecast to account for the impact of a pandemic or other extraordinary market-disrupting circumstance, and providing a corrected operational demand forecast as output. The correction to account for the impact of an extraordinary market-disrupting circumstance is based on an estimated economic impact of the disruption and an estimated reduction of the firm's sales force attributable to the disruption.

Abstract: The present invention provides a method and system making it possible to reduce a description of the impact of a disaster on the world at large to measurable, firm-specific operational and financial implications. This makes it possible to bridge the divide between disaster prediction and business planning by facilitating the translation of physical and other effects of a disaster on a business into a dollars-and-cents impact. The present invention also allows a user to evaluate the costs and benefits of various disaster mitigation plans and/or policies and to understand the combined effects of multiple mitigation plans.

Abstract: A method and system for performing master planning priority assignment is presented. The method includes assigning a priority to a demand record that contains at least one demand attribute and a priority field. The assignment includes identifying a database that contains priority assignment rules for demand records and then querying the rule database to find the database record that corresponds to the particular demand record. The corresponding database record is found by matching the data in the attribute fields in the rule database and the demand record. The priority associated with the matching priority database record is assigned to the demand record. Additional embodiments include a system and storage medium for performing master planning priority assignment.

Abstract: A method and system for performing master planning priority assignment is presented. The method includes assigning a priority to a demand record that contains at least one demand attribute and a priority field. The assignment includes identifying a database that contains priority assignment rules for demand records and then querying the rule database to find the database record that corresponds to the particular demand record. The corresponding database record is found by matching the data in the attribute fields in the rule database and the demand record. The priority associated with the matching priority database record is assigned to the demand record. Additional embodiments include a system and storage medium for performing master planning priority assignment.

Abstract: A decision-making method suitable for production planning in an uncertain demand environment. To this end, the method comprises combining an implosion technology with a scenario-based analysis, thus manifesting, a sui generis capability which preserves the advantages and benefits of each of its subsumed aspects.

Abstract: A decision-making method suitable for production planning in an uncertain demand environment. To this end, the method comprises combining an implosion technology with a scenario-based analysis, thus manifesting, a sui generis capability which preserves the advantages and benefits of each of its subsumed aspects.

Abstract: A tool including a framework suitable for manufacturing logistics decision support. The tool comprises means for providing an object-oriented technology framework, the framework comprising: means for defining objects representing manufacturing logistics problems; means for transforming a subject of the above objects into representations commonly used in a mathematical solver, wherein the representations in the solver have predefined relationships based on their properties; and, means responsive to selective changes in the objects for modifying the behavior of the framework for developing anew manufacturing logistics decision support application.

Abstract: A method for invoking an arbitrary sorting technique in a type-safe way. In one aspect, the method comprises the steps of providing a hierarchical schedule class comprising a schedule float subclass and a sorting schedule float subclass, subsumed by the schedule float subclass. The sorting schedule float subclass, in turn, comprises a schedule attribute class; a filter class; and a pair compare class. The method further includes using the hierarchical schedule class with each of an independent group consisting of a schedule attribute strategy, a filter strategy and a pair compare class strategy.