Repair-Control of Enterprise Systems Using RFID Sensory Data

Kohn, Wolf; Brayman, Vladimir

doi:10.3182/20080706-5-kr-1001.00756

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…It also generates new rules using a repair mechanism that forms part of the inductive learning loop procedure. This repair mechanism is unique to our approach [22]. It operates by adding corrective increments to the control signal as a function of detected operational error.…”

Section: ) Intelligent Controller Loopmentioning

confidence: 99%

A Micro-Grid Distributed Intelligent Control and Management System

Kohn

Zabinsky

Nerode

2015

IEEE Trans. Smart Grid

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Micro-grids require active control to maintain quality of service and to interface with the power grid in a bi-directional manner. Further, micro-grids must be justified by environmental, governmental, and economic viability. We present a programmable architecture for active, optimal distributed control of elements of the grid to achieve desired behavior. A unique aspect of this architecture is to include a distributed inductive engine for learning the local dynamics of generators and loads in the micro-grid. It generates feedback laws that are adapted to the current status of the micro-grid, and responds to anomalous events in a resilient manner. An important novelty is that control laws are extracted online for bidirectional discontinuous nonlinear loads by mean field methods from physics outside the standard design methodologies for piecewise linear quadratic controls.Index Terms-Bidirectional power flow, computational and artificial intelligence, decentralized control, distributed parameter systems, learning systems, micro-grids, power engineering and energy, power system control, power system management, smart grids. He is currently collaborating with his long-term co-author in hybrid optimal control, W. Kohn, developing quantum hybrid control, and co-founded Kohn-Nerode LLC, Dover, DE, USA. With J. Myhill, he proved the Myhill-Nerode Theorem, specifying necessary and sufficient conditions for a formal language to be regular. His current research interests include mathematical logic, the theory of automata, computability and complexity theory, mathematics of artificial intelligence, control engineering, and quantum control of macroscopic systems.Prof.

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Section: ) Intelligent Controller Loopmentioning

confidence: 99%

A Micro-Grid Distributed Intelligent Control and Management System

Kohn

Zabinsky

Nerode

2015

IEEE Trans. Smart Grid

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“…Concerns include the management of machine-paced processes (Wang et al, 2008;Vlad et al, 2009), shop floor control Collier, 2008, Thiesse andFleisch, 2008), reverse logistics (Kärkkäinen, 2003;Karaer and Lee, 2007;Kulkarni et al, 2007;Sameer et al, 2009), integration with ERP or similar legacy systems (Kohn et al, 2005;Günther et al, 2008) and inventory accuracy (Fleisch and Tellkamp, 2005;Doerr et al, 2006;De Kok et al, 2008;Rekik et al, 2008Rekik et al, , 2009Szmerekovsky and Zhang, 2008;Uc -kun et al, 2008).…”

Section: Rfid Technology In Production Processesmentioning

confidence: 99%

An RFID application in large job shop remanufacturing operations

Ferrer

Heath

Dew

2011

International Journal of Production Economics

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“…1 RFID- website 1 also provides a few links to real-life pilot cases. Kohn et al (2005) is an early piece of precious work in addressing repair-control of manufacturing systems using real-time RFID information. Zhang et al (2008) describes a smart Kanban system using RFID technologies for shop-floor management.…”

Section: Real-time Manufacturing Information Capturingmentioning

confidence: 99%

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

et al. 2010

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In extended enterprises, real-time manufacturing information tracking plays an important role and aims to provide the right information to the right person at the right time in the right format to achieve optimal production management among the involved enterprises. However, many enterprises are caused by lack of timely, accurate and consistent manufacturing data. The laggard information transfer flow and the unmatched information transfer method bring extended enterprises much more uncertainty and unknowingness. This paper proposes a RFID-enabled real-time manufacturing information tracking infrastructure (RTMITI) to address the real-time manufacturing data capturing and manufacturing information processing methods for extended enterprises. Following the proposed infrastructure, the traditional manufacturing resources such as employees, machines and materials are equipped with RFID devices (Readers and Tags) to build the real-time data capturing environment. In addition, a series of manufacturing information processing methods are established to calculate and track the real-time manufacturing information such as realtime manufacturing cost, progress, WIP (Work-in-progress) inventory etc. in parts/assemblies/products at machines/shop

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Repair-Control of Enterprise Systems Using RFID Sensory Data

Cited by 3 publications

References 15 publications

A Micro-Grid Distributed Intelligent Control and Management System

A Micro-Grid Distributed Intelligent Control and Management System

An RFID application in large job shop remanufacturing operations

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

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