International Business Machines Corporation

Globalfoundries Inc.

Rahul Nahar

Robert J Milne

Rahul Jindani

Penny Jeanette Peachey-Kountz

Geetaram Savlaram Dangat

Srinivasa Govinda Kuthethur

Robert Eugene Rice

Thomas Ward

Shreesh S Tandel

Ashit M Shah

Muthuswamy Venkatachalam

Guru S Ashok

Raymond P Dunki-Jacobs

Rajaram B Krishnamurthy

Hans-Juergen Eickelmann

Brian Trevor Denton

Kanayo Okonji

Pankaj Srivastava

Chih-Hui Chang

Daniel Augenstern

Michael Peran

Biplav Srivastava

Bhanwar Gupta

Mark Gregory Pleszkoch

Josh Price

Vivek Sharma

Chanchai Saha

Chester D Karwatowski

A method, computer system, and a computer program product for chatbot generating is provided. The present invention may include determining one or more entities based on at least one column header of a dataset. The present invention may include determining one or more actions based on an associated row, the associated row corresponding to the at least one column header. The present invention may include generating a conversation environment, wherein the conversation environment comprises pairing the one or more entities with the one or more supplied intents of a chatbot workspace and pairing the one or more actions with one or more supplied utterances of the chatbot workspace.

Generating a chatbot utilizing a data source

Visualizing event impact risk over time. At least one location of interest is identified on a geospatial map, and an event path is plotted on the geospatial map for an event over time. The event path includes actual and/or forecasted paths of the event. Along the event path, connected geospatial polygons are generated. The geospatial polygons represent actual and/or forecasted intensity of the event over time. A determination is made as to whether the connected geospatial polygons intersect one or more of the locations of interest indicating an impact risk for the event. Action are taken to reduce the impact risk for the location of interest.

Dynamic event depiction facilitating automatic resource(s) diverting

Embodiments of the present disclosure include a computer-implemented method and system for determining when to retrain an individual-item model within a recommendation engine. The computer-implemented method includes defining a consumer feature vector having attributes of historical consumers that impact an individual-item model. The computer-implemented method further includes calculating a historical feature vector relating to the historical consumers. The computer-implemented method also includes determining a retraining threshold for the individual-item model and calculating a new feature vector relating to new consumers. The new feature vector containing new attribute values of the new consumers and defined by the consumer feature vector. The computer-implemented method further includes determining a distance between the historical feature vector and the new feature vector and retraining the individual-item model upon determining that the distance between the historical feature vector and the new feature vector exceeds the retraining threshold.

Retraining individual-item models

Methods, systems, and computer program products for identifying and evaluating risk alerts are provided. Aspects include receiving risk alert data comprising risk alerts from data sources, obtaining, by the processor, client geographical data comprising one or more locations of interest, wherein the one or more locations of interest comprise infrastructure resource for the client, determining one or more trusted data sources that are most relevant to define an impact of one or more risk events from the risk alert data affecting one or more locations of interest for the client based on the risk alert data and the client geographical data, determining impactful risk events that affect locations of interest for the client based on trusted risk alert data from the trusted data sources and the client geographical data, and displaying the trusted data sources, the one or more impactful risk events, and the one or more locations.

Identifying and evaluating risks across risk alert sources

Various embodiments include computer-implemented methods of modeling production for a semiconductor foundry. One method includes: obtaining a multi-part order including: a first order for a fixed number of preliminary products; and a second order for a fixed number of completed products formed from the fixed number of preliminary products; and determining an amount of inventory required to fulfill the first order and the second order, wherein the determining includes: creating a first model including a first inventory amount required to meet the first order; and creating a second model including a second inventory amount required to meet the second order, wherein the second model accounts for results from the first model, including the first inventory amount; and running a single linear programming (LP) process using the first model and the second model to determine the amount of inventory required to fulfill the first order.

Foundry production planning

Disclosed is a method of authorizing access to an item that maintains a lockout count and blocks access to the item if the lockout count exceeds a predetermined value. One feature is that the invention 'variably' increments the lockout count if the presented password fails to exactly match the stored password. In this process the invention increments the lockout count different amounts depending upon how closely the presented password matches the stored password. The invention also provides a methodology that allocates a plurality of the same passwords to a plurality of users who share the same userid. The invention allows continuous operation of the item being accessed by providing that each of the passwords has a different expiration date. Also, when dealing with situations where a plurality of users who share the same userid also share the same password, the invention maps information associated with the users to the password in a data file and periodically updates the data file.

Systems and methods of securing resources through passwords

A method and system for determining a plurality of coefficients of an objective function of a mathematical programming model. Attributes of the model are identified. A first set of coefficient values determining a first solution and initially representing the plurality of coefficients is determined by employing a specified ranking of the attributes. A prevailing solution is initialized to the first solution. Additional sets of coefficient values are generated, each set determining a corresponding additional solution of the model. The additional solutions are evaluated (e.g., by the Analytic Hierarchy Process) to provide a ranking of the solutions, where the ranking is dependent upon the attributes. The ranking of the additional solutions is used to select a second solution. The prevailing solution is set to the second solution if the second solution exceeds a sum of the prevailing solution and a specified tolerance.

Method, system and program product for determining objective function coefficients of a mathematical programming model

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

Growing community of inventors

South Burlington, VT, United States of America

Rahul Nahar