Modelling Decision-Making Processes in the Management Support of the Manufacturing Element in the Logistic Supply Chain

被引:5
|
作者
Bucki, Robert [1 ]
Suchanek, Petr [2 ]
机构
[1] Inst Management & Informat Technol, Bielsko Biala, Poland
[2] Silesian Univ Opava, Sch Business Adm Karvina, Karvina, Czech Republic
关键词
DISCRETE-EVENT SIMULATION; INDICATORS; SYSTEMS;
D O I
10.1155/2017/5286135
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper highlights the problems of mathematical modelling for a specific element of the logistic supply chain, that is, the manufacturing system. The complex manufacturing system consisting of a determined number of parallel subsystems is modelled. The fact that the same manufacturing procedure can be carried out in various locations is emphasised. Control algorithms as well as manufacturing strategies are explained. The equations of state are introduced. The two-stage criterion lets us use the result data generated by the simulator of the production system as the initial data for further processing; however, the main goal remains to minimise the time of the course of production. The precisely elaborated case study implements initial data obtained by preceding simulation procedures carried out in manufacturing systems consisting of three, four, and five subsystems.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Effective Decision-Making in Supply Chain Management
    Krawczyk, Henryk
    Parsamyan, Narek
    [J]. INFORMATION SYSTEMS: RESEARCH, DEVELOPMENT, APPLICATIONS, EDUCATION (11TH SIGSAND/PLAIS EUROSYMPOSIUM 2018), 2018, 333 : 45 - 53
  • [2] Model predictive control for tactical decision-making in semiconductor manufacturing supply chain management
    Wang, Wenlin
    Rivera, Daniel E.
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2008, 16 (05) : 841 - 855
  • [3] Decision-Making Support in Resource Management in Manufacturing Scheduling
    Yussupova, N.
    Rizvanov, D.
    [J]. IFAC PAPERSONLINE, 2018, 51 (30): : 544 - 547
  • [4] Incremental Modeling Method of Supply Chain for Decision-Making Support
    Gortowski, Szczepan
    Lewanska, Elzbieta
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2020), 2020, 394 : 34 - 44
  • [5] A variability taxonomy to support automation decision-making for manufacturing processes
    Goh, Yee Mey
    Micheler, Simon
    Sanchez-Salas, Angel
    Case, Keith
    Bumblauskas, Daniel
    Monfared, Radmehr
    [J]. PRODUCTION PLANNING & CONTROL, 2020, 31 (05) : 383 - 399
  • [6] Agile knowledge supply chain for emergency decision-making support
    Wang, Qingquan
    Rong, Lili
    [J]. COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS, 2007, 4490 : 178 - +
  • [7] Modelling decision-making processes for annual crop management
    Aubry, C
    Papy, F
    Capillon, A
    [J]. AGRICULTURAL SYSTEMS, 1998, 56 (01) : 45 - 65
  • [8] Agile supply chain management (ASCM): a management decision-making approach
    Malakouti, Maryam
    Rezaei, Sajad
    Shahijan, Milad Kalantari
    [J]. ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS, 2017, 29 (01) : 171 - 182
  • [9] Balancing priorities: Decision-making in sustainable supply chain management
    Wu, Zhaohui
    Pagell, Mark
    [J]. JOURNAL OF OPERATIONS MANAGEMENT, 2011, 29 (06) : 577 - 590
  • [10] Improvements on decision-making framework of green supply chain management
    Qingkui, Cao
    Lijie, Li
    [J]. RESEARCH ON ORGANIZATIONAL INNOVATION - 2007 PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ENTERPRISE ENGINEERING AND MANAGEMENT INNOVATION, 2007, : 1195 - 1198