Production Systems

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Jozsef Vancza - One of the best experts on this subject based on the ideXlab platform.

  • data analytics based decision support workflow for high mix low volume Production Systems
    Cirp Annals-manufacturing Technology, 2019
    Co-Authors: Istvan Godri, Csaba Kardos, Andras Pfeiffer, Jozsef Vancza
    Abstract:

    Abstract In order to answer the ever-fluctuating demand of high-mix low-volume Production environments, reconfiguring the Production Systems and improving their performance rely heavily on the application of advanced decision support tools. Estimating the expected values of the performance measures (KPIs) in the face of these decisions, however, is even more challenging in such an environment as the complex structure, behavior and input demand creates an enormously large variable domain restraining the analysis. The paper introduces a novel workflow for providing simulation-based decision support for improving KPIs of high-mix low-volume Production Systems by reducing the size of the input domain with the application of unsupervised machine learning techniques.

  • species co evolution of products processes and Production Systems
    Cirp Annals-manufacturing Technology, 2010
    Co-Authors: T Tolio, Darek Ceglarek, Hoda A Elmaraghy, Anath Fischer, S J Hu, L Laperriere, S T Newman, Jozsef Vancza
    Abstract:

    Manufacturing enterprises are changing the way they behave in the market to face the increasing complexity of the economic, socio-political and technological dynamics. Manufacturing products, processes and Production Systems result in being challenged by evolving external drivers, including the introduction of new regulations, new materials, technologies, services and communications, the pressure on costs and sustainability. The co-evolution paradigm synthesises the recent scientific and technical approaches proposed by academic and industrial communities dealing with methodologies and tools to support the coordinated evolution (co-evolution) of products, processes and Production Systems. This paper aims at reviewing and systemising the research carried out in the field of manufacturing co-evolution with a particular focus on Production Systems. An introductory investigation of various industrial perspectives on the problem of co-evolution is presented, followed by the description of the co-evolution model and the methodology adopted for framing the existing scientific contributions in the proposed model. Then, the core part of the work is presented, consisting in a systemised analysis of the current methodologies dealing with co-evolving product, process and system and a description of problems that remain unsolved, thus motivating future research strategies and roadmaps.

Birgit Vogelheuser - One of the best experts on this subject based on the ideXlab platform.

  • key directions for industrial agent based cyber physical Production Systems
    International Conference on Pervasive Services, 2019
    Co-Authors: Stamatis Karnouskos, Paulo Leitão, Luis Ribeiro, Arndt Luder, Birgit Vogelheuser
    Abstract:

    Rapid technology advances and increasing digitalization bring new opportunities but also put new challenges to modern Production Systems. Industrial agent concepts and technologies can be used to address the needs of modern Cyber-Physical Production Systems (CPPS). To do so, their interplay, especially in industrial settings, needs to be better understood and assessed. Key directions for investigations that are relevant for industrial agent based CPPS are analyzed in this work, mainly the design patterns, interfaces between agents and CPPS, metrics to evaluate the quality of agent based CPPS, and distributed intelligence implemented in or by agents. Although efforts exist both in agent and CPPS domains, their amalgamation still has several aspects that are under-investigated, especially when considering large-scale Systems of CPPS, and the proposed four directions discussed in this work, seem promising to address several of the key underlying challenges.

  • bringing automated intelligence to cyber physical Production Systems in factory automation
    Conference on Automation Science and Engineering, 2018
    Co-Authors: Birgit Vogelheuser, Luis Ribeiro
    Abstract:

    Learning and intelligent algorithms are the basis for Cyber-Physical Production Systems (CPPS). They enable flexibility through reconfiguration ease and fault tolerance by ensuring that the CPPS adapts to changing conditions. However, in order to exhibit such characteristics, CPPS require a proper support for reliably handling the real time behavior of the physical Systems they are in control of. This paper presents and discusses basic requirements for control software, which enables flexible and adaptable automated Production Systems (aPS) modelled according to the CPPS concept. In doing so, the paper exposes the main architectural guidelines and rationale for where to place and operate intelligent algorithms in the context of industrial automation for continuous processes.

  • modularity and architecture of plc based software for automated Production Systems an analysis in industrial companies
    IEEE International Conference on Software Analysis Evolution and Reengineering, 2018
    Co-Authors: Birgit Vogelheuser, Stefan Feldmann, Juliane Fischer, Sebastian Ulewicz, Susanne Rosch
    Abstract:

    Adaptive and flexible Production Systems require modular, reusable software as a prerequisite for their long-term life cycle of up to 50 years. We introduce a benchmark process to measure software maturity for industrial control software of automated Production Systems.

  • evolution of software in automated Production Systems
    Journal of Systems and Software, 2015
    Co-Authors: Birgit Vogelheuser, Ina Schaefer, Matthias Tichy
    Abstract:

    Automated Production Systems (aPS) impose specific requirements regarding evolution.We present a classification of how Automated Production Systems evolve.We discuss the state of art and research needs for the development phases of aPS.Model-driven engineering and Variability Management are key issues.Cross-discipline analysis of (non)-functional requirements must be improved. Coping with evolution in automated Production Systems implies a cross-disciplinary challenge along the system's life-cycle for variant-rich Systems of high complexity. The authors from computer science and automation provide an interdisciplinary survey on challenges and state of the art in evolution of automated Production Systems. Selected challenges are illustrated on the case of a simple pick and place unit. In the first part of the paper, we discuss the development process of automated Production Systems as well as the different type of evolutions during the system's life-cycle on the case of a pick and place unit. In the second part, we survey the challenges associated with evolution in the different development phases and a couple of cross-cutting areas and review existing approaches addressing the challenges. We close with summarizing future research directions to address the challenges of evolution in automated Production Systems. Display Omitted

  • selected challenges of software evolution for automated Production Systems
    International Conference on Industrial Informatics, 2015
    Co-Authors: Birgit Vogelheuser, Stefan Feldmann, Ina Schaefer, Matthias Tichy, Jens Folmer, Jan Ladiges, Alexander Fay, Sascha Lity, Matthias Kowal, Christopher Haubeck
    Abstract:

    Automated machines and plants are operated for some decades and undergo an everlasting evolution during this time. In this paper, we present three related open evolution challenges focusing on software evolution in the domain of automated Production Systems, i.e. evolution and co-evolution of (interdisciplinary) engineering models and code, quality assurance as well as variant and version management during evolution.

Amir Hass - One of the best experts on this subject based on the ideXlab platform.

  • Ecosystem Services of Woody Crop Production Systems
    BioEnergy Research, 2016
    Co-Authors: Ronald S. Zalesny, John A. Stanturf, Emile S. Gardiner, James H. Perdue, Timothy M. Young, David R. Coyle, William L. Headlee, Gary S. Bañuelos, Amir Hass
    Abstract:

    Short-rotation woody crops are an integral component of regional and national energy portfolios, as well as providing essential ecosystem services such as biomass supplies, carbon sinks, clean water, and healthy soils. We review recent USDA Forest Service Research and Development efforts from the USDA Biomass Research Centers on the provisioning of these ecosystem services from woody crop Production Systems. For biomass, we highlight productivity and yield potential, pest susceptibility, and bioenergy siting applications. We describe carbon storage in aboveground woody biomass and studies assessing the provision of clean and plentiful water. Soil protection and wildlife habitat are also mentioned, in the context of converting lands from traditional row-crop agriculture to woody Production Systems.

Ronald S. Zalesny - One of the best experts on this subject based on the ideXlab platform.

  • Ecosystem Services of Woody Crop Production Systems
    BioEnergy Research, 2016
    Co-Authors: Ronald S. Zalesny, John A. Stanturf, Emile S. Gardiner, James H. Perdue, Timothy M. Young, David R. Coyle, William L. Headlee, Gary S. Bañuelos, Amir Hass
    Abstract:

    Short-rotation woody crops are an integral component of regional and national energy portfolios, as well as providing essential ecosystem services such as biomass supplies, carbon sinks, clean water, and healthy soils. We review recent USDA Forest Service Research and Development efforts from the USDA Biomass Research Centers on the provisioning of these ecosystem services from woody crop Production Systems. For biomass, we highlight productivity and yield potential, pest susceptibility, and bioenergy siting applications. We describe carbon storage in aboveground woody biomass and studies assessing the provision of clean and plentiful water. Soil protection and wildlife habitat are also mentioned, in the context of converting lands from traditional row-crop agriculture to woody Production Systems.

Marina Berati - One of the best experts on this subject based on the ideXlab platform.

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