International Business Machines Corporation

Geetaram Savlaram Dangat

Rahul Nahar

Rahul Jindani

Penny Jeanette Peachey-Kountz

Srinivasa Govinda Kuthethur

Robert Eugene Rice

Robert J Milne

Robert A Orzell

Xueqing Tang

Chih-Kuan Yen

Shuchen Li

Anand R Gokhale

Robert L Reid

A computer implemented Availability Checking Tool wherein tool users work within a common work environment, from common enterprise data, and considering assets and demands across multiple order management systems and manufacturing facilities within boundaries established by manufacturing specifications, process flows and business policies. Tool users can easily maintain a synergistic relationship between orders from multiple demand sources or ordering systems. A demand configurator receives demand information from each demand source and coordinates product requests in accordance with customer request rules and priorities. A supply configurator receives manufacturing and planning data from a planning source and manipulates the received manufacturing and planning data to create new supply data. A material resource engine provides material supply information from the new supply data, the received demand information following product supply rules and priorities. A solver optimizes product availability information in response to the material supply information, product supply rules and priorities.

Single level bill of material available to promise

A computer implemented Availability Checking Tool enabling tool users to execute within a common work environment, from common enterprise data, and considering assets and demands across multiple order management systems and manufacturing facilities within boundaries established by manufacturing specifications and process flows and business policies. The tool receives orders from multiple demand sources or ordering systems. Tool users can easily maintain a synergistic relationship between multiple ordering systems. A demand configurator coordinates product requests based on information from the demand source according to certain rules and priorities assigned to the product requests. A material resource engine manipulates data from the demand configurator and the rules to provide material supply information. A solver manipulates the material supply information from the resource engine and the rules to provide optimized product availability information. Thus, customer business rule level definitions are supported to provide the tool users with the power to micro-manage, optimally, enterprise assets and demands.

Regenerative available to promise

A computer implemented decision support tool serves as a vehicle to enable a user to execute within a common work environment, from common production information files, and at the discretion of the user one of three types of matching between existing assets and demands across multiple manufacturing facilities within boundaries established by manufacturing specifications and process flows and business policies. The tool provides an environment which permits the user to easily gain the advantages of a synergistic relationship between the three types of matching. The tool directly supports three types of matching: (1) material requirements planning (MRP) type of matching, (2) best can do (BCD) type of matching, and (3) projected supply planning (PSP) type of matching.

Method to provide common support for multiple types of solvers for

A computer implemented decision support tool serves as a solver to generate a best can do (BCD) match between existing assets and demands across multiple manufacturing facilities within boundaries established by manufacturing specifications and process flows and business policies to determine which demands can be met in what time frame by microelectronics (wafer to card) or related (for example disk drives) manufacturing and establishes a set of actions or guidelines for manufacturing to incorporate into their manufacturing execution system to insure the delivery commitments are met in a timely fashion. The BCD tool has six major components, a material resource planning explode or 'backwards' component, an optional STARTS evaluator component, an optional due date for receipts evaluator, an optional capacity available versus needed component, an implode 'forward' or feasible plan component, and a post processing algorithm.

Best can do matching of assets with demand in microelectronics

Growing community of inventors

Naperville, IL, United States of America

Geetaram Savlaram Dangat