Proposing A Cyber-Physical Production Systems Framework Linking Factory Planning And Factory Operation

被引:0
|
作者
Langer, Adrian [1 ]
Ortmeier, Christian [1 ]
Abraham, Tim [1 ]
Herrmann, Christoph [1 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Chair Sustainable Mfg & Life Cycle Engn, Inst Machine Tools & Prod Technol, Langer Kamp 19b, D-38106 Braunschweig, Germany
来源
PROCEEDINGS OF THE CONFERENCE ON PRODUCTION SYSTEMS AND LOGISTICS, CPSL 2023-1 | 2023年
关键词
Factory Planning; Factory Operation; Cyber-Physical Production System; Agent-Based Simulation; Framework; SIMULATION;
D O I
10.15488/13434
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The challenges for industrial companies in the area of factory planning and operation are characterised on the one hand by permanently shortening product life cycles and increasing product diversity. Furthermore, the demand for ecologically sustainable processes is growing and the complexity of production systems is increasing due to higher product complexity. This results in a complex decision-making space for companies within factory planning and factory operation which is difficult to plan. The advancing digitalisation can bring a great opportunity here. Modelling and simulation can create greater transparency in the context of planning and operation, and processes can be designed to be ecologically sustainable and efficient. Currently, research approaches in the context of factory planning and operation are focussing on the application and use of digital methods and tools of the Digital Factory (DF). However, the application is limited to individual areas in factory planning or factory operation. For this reason, this paper focuses on the design of a framework that addresses both factory planning and factory operation aspects and links them through modelling and simulation. Cyber-physical production systems (CPPS) can help here by mapping the individual modules within planning and operation using individual agents in agent-based simulation (AB). By linking planning and real data, the processes from planning and operation can be taken into account. From this, insights gained from planning can be simulated in an early phase and subjected to optimisation during operation. The cycle-oriented CPPS can be used on an ongoing basis by preparing the generic building blocks on the planning and operational sides through structured data acquisition and implementing them in the real world with the help of decision support from the virtual world.
引用
收藏
页码:149 / 158
页数:10
相关论文
共 50 条
  • [41] Integrated data management in factory planning and factory operation.: An information model and its implementation
    Weimer, Tobias
    Kapp, Ralf
    Klemm, Peter
    Westkaemper, Engelbert
    MANUFACTURING SYSTEMS AND TECHNOLOGIES FOR THE NEW FRONTIER, 2008, : 229 - +
  • [42] RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems
    Gotzinger, Maximilian
    Juhasz, David
    Taherinejad, Nima
    Willegger, Edwin
    Tutzer, Benedikt
    Liljeberg, Pasi
    Jantsch, Axel
    Rahmani, Amir M.
    IEEE ACCESS, 2020, 8 : 141373 - 141394
  • [43] The Research on the Framework of Cyber-Physical Systems for the Reliable Sensing and Optimization Scheduling
    Lun, Yongliang
    Cheng, Lianglun
    MECHATRONIC SYSTEMS AND AUTOMATION SYSTEMS, 2011, 65 : 451 - 454
  • [44] Cyber-physical framework for emulating distributed control systems in smart grids
    Gavriluta, Catalin
    Boudinet, Cedric
    Kupzog, Friederich
    Gomez-Exposito, Antonio
    Caire, Raphael
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 114
  • [45] Cyber-Physical Production System Fingerprinting
    Stock, Daniel
    Schel, Daniel
    52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 : 393 - 398
  • [46] A Digital Twin Generic Architecture for Data-Driven Cyber-Physical Production Systems
    Iliuta, Miruna
    Pop, Eugen
    Caramihai, Simona Iuliana
    Moisescu, Mihnea Alexandru
    12TH INTERNATIONAL WORKSHOP ON SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, SOHOMA 2022, 2023, 1083 : 71 - 82
  • [47] Architectural framework of digital twin-based cyber-physical production system for resilient rechargeable battery production
    Park, Kyu-Tae
    Park, Yang Ho
    Park, Moon-Won
    Noh, Sang Do
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2023, 10 (02) : 809 - 829
  • [48] Towards Multidisciplinary Delta-Oriented Variability Management in Cyber-Physical Production Systems
    Fadhlillah, Hafiyyan Sayyid
    Feichtinger, Kevin
    Meixner, Kristof
    Sonnleithner, Lisa
    Rabiser, Rick
    Zoitl, Alois
    VAMOS'22: 16TH INTERNATIONAL WORKING CONFERENCE ON VARIABILITY MODELLING OF SOFTWARE-INTENSIVE SYSTEMS, 2022,
  • [49] Green Factory Planning Framework and Modules for a Flexible Approach
    Mueller, Florian
    Cannata, Alessandro
    Stahl, Bojan
    Taisch, Marco
    Thiede, Sebastian
    Herrmann, Christoph
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SUSTAINABLE PRODUCTION AND SERVICE SUPPLY CHAINS, PT 1, 2013, 414 : 167 - 174
  • [50] A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems
    Khalil, Alvi Ataur
    Franco, Javier
    Parvez, Imtiaz
    Uluagac, Selcuk
    Shahriar, Hossain
    Rahman, Mohammad Ashiqur
    2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022), 2022, : 1774 - 1779