A Comparison of Modeling Approaches for Planning in Cyber Physical Production Systems

被引:0
|
作者
Anis, Anas [1 ]
Schaefer, Wilhelm [1 ]
Niggemann, Oliver [2 ]
机构
[1] Univ Paderborn, Heinz Nixdorf Inst, D-33098 Paderborn, Germany
[2] Hsch Ostwestfalen Lippe, InIT Inst Ind IT, Lemgo, Germany
关键词
TIMED AUTOMATA; EXTENSION; PDDL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problems of planning production processes in Cyber Physical Production Systems (CPPS) require information about e.g., machines, products, and time. These information can be modeled with languages which have different characteristics. Production engineers must select a language carefully when modeling their problems. Otherwise, they have to put an extra effort (e.g., to work around temporal constraints) later when selecting an unsuitable language. A suitable selection can be achieved by a comparison that provides engineers with decision support. In related work, comparisons among such languages exist. However, these comparisons are not tight to the context of CPPS. To provide a decision support, we suggest criteria to compare among languages when used for planning in CPPS. We apply these criteria on the languages: Prolog, Timed Automata, and PDDL. Other languages will be considered in our future work.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Process planning of cyber-physical production systems
    Arbeitsplanung für cyberphysische Produktionssysteme
    [J]. 1600, Carl Hanser Verlag (112):
  • [2] Production planning and scheduling in Cyber-Physical Production Systems: a review
    Alejandro Rossit, Daniel
    Tohme, Fernando
    Frutos, Mariano
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 32 (4-5) : 385 - 395
  • [3] Integrated Production and Maintenance Planning for Cyber-physical Production Systems
    Schreiber, M.
    Kloeber-Koch, J.
    Richter, C.
    Reinhart, G.
    [J]. 51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 934 - 939
  • [4] Integrated production and maintenance planning in cyber-physical production systems
    Schreiber, Martin
    Vernickel, Kilian
    Richter, Christoph
    Reinhart, Gunther
    [J]. 12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2019, 79 : 534 - 539
  • [5] Surveying Integration Approaches for Relevance in Cyber Physical Production Systems
    Schmidt, Nicole
    Lueder, Arndt
    Rosendahl, Ronald
    Ryashentseva, Daria
    Foehr, Matthias
    Vollmar, Jan
    [J]. PROCEEDINGS OF 2015 IEEE 20TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA), 2015,
  • [6] Cyber Physical Production Systems: A Review of Design and Implementation Approaches
    Wu, Xuan
    Goepp, Virginie
    Siadat, Ali
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2019, : 1588 - 1592
  • [7] Automated Process Planning for Cyber-Physical Production Systems
    Rogalla, Antje
    Niggemann, Oliver
    [J]. 2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2017,
  • [8] Physical modeling of material flows in cyber-physical production systems
    Glatt, Moritz
    Aurich, Jan C.
    [J]. 7TH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2018), 2019, 28 : 10 - 17
  • [9] Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems
    Kuhnle, Andreas
    Lanza, Gisela
    [J]. MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS, ML4CPS 2018, 2019, 9 : 123 - 132
  • [10] Application of intelligent engineering in the planning of cyber-physical production systems
    Andreev, Vladimir N.
    Charuyskaya, Marianna A.
    Kryzhanovskaya, Alexandra S.
    Mursalov, Igor D.
    Mozharovskaia, Alevtina A.
    Chervenkova, Svetlana G.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (1-2): : 117 - 123