Conferences related to Job production systems

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2020 IEEE 18th International Conference on Industrial Informatics (INDIN)

INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia


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 Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


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Periodicals related to Job production systems

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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, ...


Education, IEEE Transactions on

Educational methods, technology, and programs; history of technology; impact of evolving research on education.


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...


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Most published Xplore authors for Job production systems

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Xplore Articles related to Job production systems

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Teaching "High Touch" to "High Tech" Managers

IEEE Engineering Management Review, 1984

None


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 ...


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 ...


Optimal workload allocation between a job shop and an FMS

IEEE Transactions on Robotics and Automation, 1999

Assuming given production requirements for a set of part types, we examine the question of how these production requirements can be assigned to different, alternative routes through two production systems, a flexible manufacturing system, and a conventional job shop. Several nonlinear optimization models are proposed in order to optimize performance parameters like throughput, work-in- process inventory, utilization, and manufacturing lead ...


Period of processing on production line, optimal scheduling and application

Proceedings of 35th IEEE Conference on Decision and Control, 1996

In the paper, we study period of processing on production line when it processes batch jobs under nonblocking optimal control. The jobs are nonidentical, they are processed on nonidentical machines, and there are various processing times. Then we provide an optimal scheduling problem, and give an algorithm for it. Finally we apply these result to hot-metal rolling production line at ...


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Educational Resources on Job production systems

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IEEE.tv Videos

IROS TV 2019- The Big Picture with IEEE - Prof. Toshio Fukuda
IRDS: Yield Enhancement - Slava Libman at INC 2019
Sonali Dutta from Cisco at WIE ILC 2016
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 1 - Mischa Dohler
IEEE 5G Podcast with the Experts: The Future of Mobile Beyond 5G: Part 2 - 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
Information Technology: Careers for the information age
Many IEEE members rely on the organization for career guidance and job opportunities. If elected president, how will you help them in this area? - Bartleson
Q&A with Dr. Atilla Elci: IEEE Big Data Podcast, Episode 10
Critical Skills in the Engineering Workforce
Tech Jobs: Europe Needs Engineers
SOC DESIGN METHODOLOGY FOR IMPROVED ROBUSTNESS
Q&A with Nicholas Napp: IEEE Digital Reality Podcast, Episode 5
Mildred Dresselhaus: IEEE Medal of Honor 2015
Humility and Leadership: Can they go hand in hand? - Roshan Roeder at IEEE WIE Forum USA East 2017
Gender-Based Occupational Stereotypes: New Behaviors, Old Attitudes - Carolyn Matheus & Elizabeth Quinn - IEEE WIE Forum USA East 2017
Many IEEE members rely on the organization for career guidance and job opportunities. If elected president, how will you help them in this area? - Mintzer

IEEE-USA E-Books

  • Teaching "High Touch" to "High Tech" Managers

    None

  • 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.

  • 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.

  • Optimal workload allocation between a job shop and an FMS

    Assuming given production requirements for a set of part types, we examine the question of how these production requirements can be assigned to different, alternative routes through two production systems, a flexible manufacturing system, and a conventional job shop. Several nonlinear optimization models are proposed in order to optimize performance parameters like throughput, work-in- process inventory, utilization, and manufacturing lead time. The models incorporate product form queueing network theory in order to evaluate system performance and extend results based on linear programming formulations. The solution procedures are based on decomposition, fixed point, and classical gradient search techniques.

  • Period of processing on production line, optimal scheduling and application

    In the paper, we study period of processing on production line when it processes batch jobs under nonblocking optimal control. The jobs are nonidentical, they are processed on nonidentical machines, and there are various processing times. Then we provide an optimal scheduling problem, and give an algorithm for it. Finally we apply these result to hot-metal rolling production line at TaiYuan steel company, we obtain optimal scheduling table of different kind steel plate.

  • Job shop configuration with queueing networks and simulated annealing

    A novel method for equipment planning is proposed for job type production systems, and computer experiment results obtained with a semiconductor fab model are given. The production system is modeled as an open queueing network (QN). The number of servers in the shops are then optimized by simulated annealing. The experiment demonstrated that the process considered is far faster than configuring the job shops manually, and that the configuration obtained is optimum, thus resolving the disadvantages of the traditional method. An advantage of the approach presented is that a wider range of parameter (e.g. product mix) optimization can be handled with the same combination of QN and annealing.<<ETX>>

  • Comparing dispatching rules in dynamic hybrid flow shops

    In this paper, several dispatching rules are studied in hybrid flow shop environment using simulation in order to minimize the mean flow time as well as standard deviation. Hybrid flow shops are productive systems with several stages. Every stage is composed of a pool of machines. This kind of productive configuration has been largely studied in recent years because it appears in many real production systems. Several heuristic rules have been adapted to the hybrid flow shop with sequence dependent setup times. The influence of shop status and job characteristics over the performance of the heuristic rules is evaluated. The analysis of the results highlights some interesting aspects about the effect of setup times and productive system characteristics on the dispatching rules performance.

  • Reconfigurable Manufacturing Execution System Based on Events

    In this paper, a reconfigurable manufacturing execution system (RMES) based on events is researched. The system can acquire real-time information from control system. The basic infrastructure of the RMES is proposed. The key idea of the RMES is to define several meta-events according to the characteristics of production process. Many events are composed of several meta-events. All function modules can integrate together through events. Because of events, reconfigurability of the system can be achieved.

  • Online Scheduling of Flexible Flow Shop Manufacturing

    The flexible flow shop refers to such a manufacturing environment in which jobs are to be processed through serial stages, with one or multiple machines available at each stage. It is usually a complex task when specific objective is demanded such as minimum cost, minimum time, etc. Static scheduling of such problems has been much researched, however, little efforts have been made on realtime scheduling when the release time of each job is unknown. In this paper, some online scheduling methods are presented to deal with the tough problem of realtime Just-In-Time manufacturing. In addition to applicable dispatching rules, agent-based approaches are also proposed featuring feedback, learning, and realtime prediction. The simulation result reveals that the presented distributed learning approach, especially when combined with realtime prediction, delivers a high performance.

  • 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 Job production systems

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No standards are currently tagged "Job production systems"