An industry-oriented approach for machine condition-based production scheduling

被引:7
作者
Karner, Matthias [1 ]
Glawar, Robert [1 ,2 ]
Sihn, Wilfried [1 ,2 ]
Matyas, Kurt [2 ]
机构
[1] Fraunhofer Austria Res GmbH, Theresianumgasse 7, A-1040 Vienna, Austria
[2] TU Wien, Inst Management Sci, Theresianumgasse 27, A-1040 Vienna, Austria
来源
52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷
关键词
production planning and scheduling; condition monitoring; condition-based scheduling; INTEGRATION; MOTORS;
D O I
10.1016/j.procir.2019.03.231
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Condition Monitoring (CM) and production planning and scheduling (PPS) are well-known and broadly discussed topics. Considering a machine's condition within short-term PPS may lead to a more realistic model of a production system and is therefore supporting production planners at their complex tasks of scheduling and sequencing. Despite the foreseeable benefits, integration of CM and PPS has been largely neglected in the literature of production management. This paper provides a technique for measuring machine conditions appropriate for an integration within PPS which is applied at an industrial use-case. Hence, the paper contributes to the development of condition-based PPS. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:938 / 943
页数:6
相关论文
共 37 条
  • [1] Machine scheduling in production: A content analysis
    Abedinnia, Hamid
    Glock, Christoph H.
    Schneider, Michael D.
    [J]. APPLIED MATHEMATICAL MODELLING, 2017, 50 : 279 - 299
  • [2] Adams T., 2018, FOOD ALLERGENS FOOD, P117
  • [3] A review on condition-based maintenance optimization models for stochastically deteriorating system
    Alaswad, Suzan
    Xiang, Yisha
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 157 : 54 - 63
  • [4] A problem-solving ontology for human-centered cyber physical production systems
    Ansari, Fazel
    Khobreh, Marjan
    Seidenberg, Ulrich
    Sihn, Wilfried
    [J]. CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2018, 22 : 91 - 106
  • [5] Bhuiyan M., 2014, Comprehensive Materials Processing, V13, P539
  • [6] Cooper J., 2017, PAN PAC MICR S PAN P, P1
  • [7] A Novel Bearing Condition Monitoring Method in Induction Motors Based on Instantaneous Frequency of Motor Voltage
    Dalvand, Fardin
    Kalantar, Asadollah
    Safizadeh, Mir Saeed
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (01) : 364 - 376
  • [8] Deterding S., 2011, P 15 INT ACAD MINDTR, P9, DOI [DOI 10.1145/2181037.2181040, 10.1145/2181037.2181040]
  • [9] Doleschal D, 2015, WINT SIMUL C PROC, P2953, DOI 10.1109/WSC.2015.7408398
  • [10] Frost Th, 2016, J MAINTENANCE ENG, V1, P413