Conferences related to Batch production systems

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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Periodicals related to Batch production systems

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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Most published Xplore authors for Batch production systems

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Xplore Articles related to Batch production systems

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Resource Management: Performance Assuredness in Distributed Cloud Computing via Online Reconfigurations

Assured Cloud Computing, None

Cloud computing relies on software for distributed batch and stream processing, as well as distributed storage. This chapter focuses on an oft‐ignored angle of assuredness: performance assuredness. A significant pain point today is the inability to support reconfiguration operations, such as changing of the shard key in a sharded storage/database system, or scaling up (or down) of the number of ...


Information Management System of Grocery Production Processing Based on a Bar Code Identification Technology

2007 International Workshop on Anti-Counterfeiting, Security and Identification (ASID), 2007

This paper brings forward with a method of adopting a bar code technology which is successfully applied to a production processing information management of a grocery enterprise. This method can real-timely be analyzed the devotion, the output and wearing off of the original material, burden, equipment and manpower, and the individual client cost and individual product cost by the management ...


Application Integration For CIM

Electro International, 1991, 1991

The Computer Integrated Manufacturing (CIM) architecture consists of three Ievels of integration: physical, application and business. This paper focuses on the CIM application integration. After the physical connections are established between stand alone systems, the next level in developing a CIM based enterprise is to architect an application integration strategy. There are three key areas to support this level of ...


Optimization of material flow for manufacturing enterprise

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2004

The problems in conventional inventory optimization theory have been studied. By analysing of the relations of material flow among the sections in a discrete production system, the material flow regularities have been acquired. As a target, to minimize the cost of material flow in production systems, a new model is established which included economic order quantity, economic production batch and ...


Self-adapted Hybrid Genetic Algorithm for Job Scheduling of Distributed Manufacturing System

2007 Second International Conference on Bio-Inspired Computing: Theories and Applications, 2007

An approach using the concept of self-adapted hybrid genetic algorithm (AGASA) is proposed as a powerful but simple means to optimize job scheduling in distributed manufacturing system (DMS). A directed graph model is developed to describe the characteristics of DMS. The superiority of the proposed algorithm is illustrated by computing result with pattern of GANTT graph, and the results are ...


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Educational Resources on Batch production systems

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IEEE.tv Videos

IRDS: Yield Enhancement - Slava Libman at INC 2019
Robust Qubit Manipulation with Integrated Circuits: Optical Computing - Pérola Milman at INC 2019
IEEE 5G Podcast with the Experts: What is your boldest vision of what 5G can bring us?
IEEE 5G Podcast with the Experts: The Future of Mobile Beyond 5G: Part 2 - Mischa Dohler
IEEE 5G Podcast with the Experts: The Future of Mobile Beyond 5G: Part 1 - Mischa Dohler
IMS 2011 Microapps - Improved Microwave Device Characterization and Qualification Using Affordable Microwave Microprobing Techniques for High-Yield Production of Microwave Components
Analog Devices, Inc. accepts the IEEE Corporate Innovation Award - Honors Ceremony 2017
Q&A with Nicholas Napp: IEEE Digital Reality Podcast, Episode 5
SOC DESIGN METHODOLOGY FOR IMPROVED ROBUSTNESS
Humility and Leadership: Can they go hand in hand? - Roshan Roeder at IEEE WIE Forum USA East 2017
Zero Emission Powertrains and Fuel Cell Engines: APEC 2019
MicroApps: Streamlining Radio Communication Link Design from Specifcation to Production (AWR)
Additive-generative Industrial Design for Robotic Automation
Food Engineering - The Future is Now: 2017 Brain Fuel President's Chat
John G. Webster - IEEE James H. Mulligan, Jr. Education Medal, 2019 IEEE Honors Ceremony
IEEE Entrepreneurship @ #CollisionConf: Carbon Robotics
IEEE Green Energy Summit 2015, Panel 2: How reliable is reliable enough?
IEEE 5G Podcast with the Experts: Is it time to change how we think about telecommunications generations?
IEEE 5G Podcast with the Experts: 5G: Let's not wait for the killer app
IEEE 5G Podcast with the Experts: 5G for large-scale wireless communications between autonomous vehicles

IEEE-USA E-Books

  • Resource Management: Performance Assuredness in Distributed Cloud Computing via Online Reconfigurations

    Cloud computing relies on software for distributed batch and stream processing, as well as distributed storage. This chapter focuses on an oft‐ignored angle of assuredness: performance assuredness. A significant pain point today is the inability to support reconfiguration operations, such as changing of the shard key in a sharded storage/database system, or scaling up (or down) of the number of virtual machines (VMs) being used in a stream or batch processing system. We discuss new techniques to support such reconfiguration operations in an online manner, whereby the system does not need to be shut down and the user/client‐perceived behavior is indistinguishable regardless of whether a reconfiguration is occurring in the background, that is, the performance continues to be assured in spite of ongoing background reconfiguration. Next, we describe how to scale‐out and scale‐in (increase or decrease) the number of machines/VMs in cloud computing frameworks like distributed stream processing and distributed graph processing systems, again while offering assured performance to the customer in spite of the reconfigurations occurring in the background. The ultimate performance assuredness is the ability to support SLAs/SLOs (service‐level agreements/objectives) such as deadlines. We present a new real‐time scheduler that supports priorities and hard deadlines for Hadoop jobs. We implemented our reconfiguration systems as patches to several popular and open‐source cloud computing systems, including MongoDB and Cassandra (storage), Storm (stream processing), LFGraph (graph processing), and Hadoop (batch processing).

  • Information Management System of Grocery Production Processing Based on a Bar Code Identification Technology

    This paper brings forward with a method of adopting a bar code technology which is successfully applied to a production processing information management of a grocery enterprise. This method can real-timely be analyzed the devotion, the output and wearing off of the original material, burden, equipment and manpower, and the individual client cost and individual product cost by the management systems. This method also can enhance the efficiency of production management and reduce wearing off of the material and product and expedite the delivery time of product.

  • Application Integration For CIM

    The Computer Integrated Manufacturing (CIM) architecture consists of three Ievels of integration: physical, application and business. This paper focuses on the CIM application integration. After the physical connections are established between stand alone systems, the next level in developing a CIM based enterprise is to architect an application integration strategy. There are three key areas to support this level of CIM integration: the manufacturing process, a central data repository and the applications to manage the distributed processes. Understanding the actual process includes an analysis of the current state of the facilities and operations. The central data repository is the focal point for shared data that can be accessed by both users and applications. The CIM applications are based on new technologies which include Application and System Enablers.

  • Optimization of material flow for manufacturing enterprise

    The problems in conventional inventory optimization theory have been studied. By analysing of the relations of material flow among the sections in a discrete production system, the material flow regularities have been acquired. As a target, to minimize the cost of material flow in production systems, a new model is established which included economic order quantity, economic production batch and economic distribution batch. Using the new models, the more available optimization effect about material flow for discrete production system can also be acquired.

  • Self-adapted Hybrid Genetic Algorithm for Job Scheduling of Distributed Manufacturing System

    An approach using the concept of self-adapted hybrid genetic algorithm (AGASA) is proposed as a powerful but simple means to optimize job scheduling in distributed manufacturing system (DMS). A directed graph model is developed to describe the characteristics of DMS. The superiority of the proposed algorithm is illustrated by computing result with pattern of GANTT graph, and the results are compared with methods of genetic algorithm and simulated annealing algorithm.

  • An efficient production method in a mixed product manufacturing

    We have presented the method that can increase the productivity to the maximum point with the minimum plant investment in semiconductor factory and utilize the equipment in most efficient way at ISSM '94(P169-172). We explain the "batch unit production system" which is a more efficient production method in a mixed product manufacturing. Using this system, we achieved improvement for charge percentage of batch system equipment and operation and short TAT.

  • Reconfigurability analysis of manufacturing system based on rough sets

    The quick performance evaluation of RMS has crucial influence on the system design and planning of RMS. In the paper, based on the performance evaluation and architecture of RMS and artificial intelligence theory, the Rough sets- based method is presented to deal with, reduce, reasoning the performance indicator data. And then the novel quick performance evaluation system based RST is also presented, which can discover quickly evaluate the performance of RMS.

  • Modelling and analysis of inventory policy: an approach based on Petri nets

    This work presents a method for modeling and analysis of production systems with emphasis on inventory policy. Based on the structural analysis, it provides basic performance measures, such as throughput and cycle time. Due to this fact, the main goal of this work is to introduce a Petri net based approach to solve the mentioned problem for inventory control. Besides, a timed Petri net based approach for modeling is also presented.

  • Optimal batch production with rework and non-zero setup cost for rework

    This paper attempts to develop the optimal solution for an inventory problem consisting of a single machine which produces items some of which may be defective. We assume that no shortages are allowed and all defective items are to be reworked. Setup cost for rework and waiting time of defectives are considered. We consider two different policies where in the first policy in each cycle after the regular production the machine is setup for the rework of defectives of the same cycle. In the second policy several cycles constitute a period. All the defectives produced in the period are reworked in the last cycle of that period. At the end of the rework cycle the whole process starts all over again. One significant feature of this work is that we do not impose any restriction on the length of the period. We derive the total cost function which includes the setup cost for rework and regular production, waiting time cost of defectives for rework, rework and regular processing costs and holding cost. We then derive the optimal solution of the total cost function for the two different policies.

  • Wage System Innovation in Small and Middle Manufacture Enterprise

    For small and middle manufacture enterprises (SMME), the problem of workers' wages in multi-variety and batch production system are studied in this paper. Based on analyzing the operation characters of the enterprises, the piece rate and its shortages in the enterprise have been studied through cases. For the purposes of reducing the production cost, improving the productivity and the job quality, the approaches to ameliorate the wage systems have been developed which are adapted to multi-variety and batch-order production enterprises. It has been proved that the new wage system has a better stimulating effect than the traditional one, which can predigest the wage management for the enterprises.



Standards related to Batch production systems

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Jobs related to Batch production systems

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