Invensys Systems, Inc.

Rockwell Automation Technologies Incorporated

Aveva Software, LLC

Schneider Electric Software, LLC

Thomas Andrew Troy

Arvind Agarwal

Diana Ivanov

Nicolas Pouyez

James Eric O'Hearn

Keith Richard Frantz

Raghavendran Gobalakrishnan

Melvin Philip Norbeck

Sanjay M Shah

Richard William Boyle

Daniel Van Klaveren

Jeffrey Bernard Nuse

Adam R Haskell

Ajay Kumar Reddy Kopperla

Arvind Kamath

Jonathan J Kall

Robert J McCarthy

Iju V Raj

Dirk K Kozian

Prasanth Ittiera Eapen K

Elizabeth Geojy

A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.

Line management in manufacturing execution system

Systems and methods for providing a dynamically synchronized instance to a network device. A repository database stores a process model instance having a layout defined by data elements. A design tool processor coupled to the repository database provides the instance to a user device and a network device. The user device modifies data elements of the instance to generate a first version instance, and the design tool processor generates a dynamically synchronized instance for storing and serving the dynamically synchronized instance to a network device.

Dynamic state interface engine

A system is provided. The system comprises a first computer located in a first plant, a first memory, and a first object based process management application stored in the first memory. The system further comprises a second computer located in a location separate from the first plant, a second memory, and a second object based process management application stored in the second memory. When executed on the first computer, the first application invokes scripts in response to events and the scripts launch tasks. When executed on the second computer, the second computer invokes scripts in response to events and the scripts launch tasks, one of the events acted on by the second application is a message received from the first application.

System and method for integrated workflow scaling

A suite of configurable supply chain infrastructure modules provides the 'collective manufacturing management infrastructure' necessary to support a high velocity e-business initiative. At the core of the collaboration scheme is the Business Process Modeling Module. The Business Modeling Module consists of two components: Business Process Event Coordinator, and Business Process Modeler. To further support the collaborative scheme, a suite of highly configurable application templates and pre-configured industry applications provide an interface or wrapper around the business rules. The application templates are designed to be used as stand-alone components, or can be assembled/configured into a cohesive solution to provide a basic foundation layer for a Collaborative Manufacturing Execution System (CMES). To address the connectivity of the CMES layer to the business layer and the shop floor automation layer, an Extensible Markup Language (XML) Business Connector and Optical Photo Conductor (OPC) Shop Floor Connector fulfill the interface needs required to support a collaborative infrastructure.

Suite of configurable supply chain infrastructure modules for deploying collaborative e-manufacturing solutions

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Lansdale, PA, United States of America

Thomas Andrew Troy