I2 Technologies Us, Inc.

Philips Electronics North America Corporation

Jda Software Group, Inc.

Omer Bakkalbasi

Rosa H Birjandi

Dharmaraj Veerappanaicker

Joel A Shapiro

Ramakrishna Desiraju

Ying Huang

Raymond J Krasinski

Krishnakumar Bhaskaran

Awi Federgruen

Christophe Begue

Lap Mui Chan

Peter Boey

Yossi Aviv

Bor-Ruey Fu

Ray Krasinski

A method for deploying parts is disclosed. Locations that include supply locations and demand locations are defined. A supply location supplies parts to a demand location. A demand is computed for each part at each location. An availability lead-time is estimated for each part at each location. A lead-time demand is computed for each part at each location using the availability lead-times for the part. A stock level is computed for each part at each location. A completely filled demand is determined from the lead-time demands and the stock levels, and a partially filled demand is determined from the lead-time demands and the stock levels. A coverage function for the parts at the locations is generated from the completely filled demand and the partially filled demand.

Optimized deployment of parts in a distribution network

Redistributing parts includes defining locations. An actual inventory of parts is established among the locations, and a desired allocation of the parts is established among the locations. A demand for the parts at each location is determined using the actual inventory and the desired allocation. Paths are determined, where a path transfers an excess part from one location to another location. A transfer function describing a cost of transferring the excess part along the paths is generated. The transfer function is optimized to achieve the desired allocation of the excess parts at a minimum cost.

Redistribution of parts in a distribution network

An N-dimensional material planning method for evaluating supplier material policy includes steps for storing supplier characterization data in a N-dimensional data space, and evaluating the supplier characterization data using predetermined rules to thereby generate at least one of a current policy assessment and a recommended policy goal. Moreover, the method includes a further step for analyzing the predetermined rules upon which the at least one of the current policy assessment and the recommended policy goal are based. According to an aspect of the present invention, the evaluating step uses predetermined rules including binary rules and weighting rules to generate the at least one of the current policy assessment and the recommended policy goal, where the binary rules have precedence over the weighting rules. A computer system and a storage medium for carrying out and storing computer readable instructions, respectively, pertaining to the N-dimensional material planning method are also described.

N-dimensional material planning method and system with corresponding program therefor

A decision support system for managing an agile supply chain including a server side and a client side. The server side includes a decision support system database that interfaces with a model engine that performs analysis of the data to support planning decisions. The server side also includes a server manager that coordinates requests for service and information. The client side includes decision frames that present the various view points available in the system to the users. A frame manager coordinates the requests from the decision support frames to access the needed data and models.

Decision support system for the management of an agile supply chain

A decision support system for the management of an agile supply chain that provides an architecture including a server side and a client side. The server side includes a decision support system database that interfaces with a model engine that performs analysis of the data to support planning decisions. The server side includes a server manager that coordinates requests for service and information. The client side includes decision frames that present the various view points available in the system to the users. A frame manager coordinates the requests from decision support frames to access the needed data and models. The decision support frames provide a view into the supply chain and integrate analytical models responsive to the view point of a business process such as demand management. The frames include a supply management frame, a demand management frame, a vendor managed replenishment frame, a Planning, Sales and Inventory planning frame, and a distribution network design frame. The frame manager includes a system integrator and a functional integrator. A database management system manages the supply and maintenance of information needed by the modeling processes through the frame manager. A domain management process limits data available to saidl frame responsive to a user selection. The system also includes a demand and supply reconciliation process; a capacity planning process; a vendor managed replenishment process; and a scenario management process.

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Mahopac, NY, United States of America

Omer Bakkalbasi