Abstract: A method and associated systems for automatically identifying a risk that a staffing resource identified by a proposed project-staffing plan will be unavailable. A computerized project-management tool, in response to receiving a proposed project plan, requests, receives, and aggregates information about other past, present, and expected projects and about expected supplies of, and competing demands for, staffing resources required by the proposed plan. The tool infers patterns, business rules, and trends from the received information, with which it adjusts the proposed project's planned start date, expected availabilities of required staffing resources, and expected competition for staffing resources. The tool then determines a likelihood that a sufficient supply of each of the plan's required staffing resources, as adjusted, will be available at the required times, as adjusted. If the risk is too high, the user may fine-tune the proposed plan by repeating the preceding steps with varying project parameters.

Abstract: Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.

Abstract: Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.

Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.

Abstract: There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

Abstract: A system, method and computer program product provides for accurate demand modeling and forecasting in retail categories using retail sales data sets with missing data values, in order to enable a variety of retail decision-support applications.

Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.

Abstract: There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

Abstract: A system, method and computer program product provides for accurate demand modeling and forecasting in retail categories using retail sales data sets with missing data values, in order to enable a variety of retail decision-support applications.

Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.

Abstract: Method and system for estimating performance of resource-based service delivery operation by simulating interactions of multiple events are provided. Method and system, in one aspect, simulate a plurality of events associated with a resource-based service delivery operation and allow the plurality of events to interact through a resource availability outlook. The plurality of events may include events of execution of service engagement and at least one or more of demand planning of service engagement, supply planning of resources, attrition of resources, termination of resource, or combinations of thereof.

Abstract: An active collaboration technology in an open architectural framework that delivers information and decision support tools in a timely, contextual and role sensitive manner to present a collaborative dynamic decision making capability to a community of role players within a supply chain process. Such a comprehensive collaborative dynamic decision making capability is made possible through the integration of the business process, the organization of role players and relevant business applications.

Abstract: An apparatus and method for configuring semiconductor jobs to achieve a desired level of set serviceability, in either probability or expectation, using a minimal number of wafers. The configuration problem is formulated as a mathematical optimization, where the serviceability level and yield losses, at chip, wafer and job levels, are explicitly considered. The problem is then reformulated by replacing the mathematically intractable service level constraints with tractable lower bounds. The reformulated mathematical optimization is efficiently solved using marginal allocation, giving good, feasible solutions to the original configuration program.