Optimization of production system in Plant Simulation

被引:12
作者
Malega, Peter [1 ]
Gazda, Vladimir [2 ]
Rudy, Vladimir [1 ]
机构
[1] Tech Univ Kosice, Fac Mech Engn, Pk Komenskeho 9, Kosice 04001, Slovakia
[2] Tech Univ Kosice, Fac Econ, Kosice, Slovakia
来源
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL | 2022年 / 98卷 / 04期
关键词
Production optimization; production system; simulation; Plant Simulation software; jib; DISCRETE-EVENT SIMULATION; MANUFACTURING SYSTEM; PERFORMANCE; FLOW;
D O I
10.1177/00375497211038908
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An optimization of the production process is defined as the search for solutions with improved production efficiency. Process optimization should be one of the main components of a business strategy that not only delivers benefits to customers but also helps increase the performance of production processes and benefits the entire business. The traditional approaches to job shop scheduling are based on the exact mathematically formalized model. If the number of model parameters is high and the environment is rather uncertain, the practical applications are quite restricted. That is why the theory proposes an approach based on a large-scale computer simulation. The main goal of this paper is to show that in a concrete company case, the simulation-based approach provides increased productivity. The presented study proposes the practical application of the Tecnomatix software used in the research to optimize the production system. The partial aims of the paper are as follows: (1) to create a simulation model of the production system with the help of the Plant Simulation module, (2) to model the current state of matters in the company, and (3) to propose a solution to the problem. Ultimately, we show that the simulation approach to the production line control provides rather effective solutions when compared to the intuitive one based on trial-and-error experience. The improvement includes a significant (1) shortening of the production cycle and (2) increase in productivity.
引用
收藏
页码:295 / 306
页数:12
相关论文
共 32 条
  • [1] Planning and optimization of changeable production systems by applying an integrated system dynamic and discrete event simulation approach
    Albrecht, Florian
    Kleine, Oliver
    Abele, Eberhard
    [J]. VARIETY MANAGEMENT IN MANUFACTURING: PROCEEDINGS OF THE 47TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2014, 17 : 386 - 391
  • [2] Andradóttir S, 1998, HANDBOOK OF SIMULATION, P307, DOI 10.1002/9780470172445.ch9
  • [3] Simulation-optimization of complex tandem queue systems with reneging and server breakdowns considering budget constraints
    Azadeh, Ali
    Nasirian, Bahareh
    Farahani, Mahdi Hosseinabadi
    Soltanpoor, Maryam
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2015, 91 (10): : 925 - 941
  • [4] Azadeh A, 2014, INT J IND ENG-THEORY, V21, P209
  • [5] Bangsow S., 2010, Manufacturing simulation with plant simulation and simtalk: usage and programming with examples and solutions
  • [6] Bellgran M., 2009, PRODUCTION DEV DESIG
  • [7] CELLULAR MANUFACTURING - ITS IMPACT ON THE TOTAL FACTORY
    BURGESS, AG
    MORGAN, I
    VOLLMANN, TE
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1993, 31 (09) : 2059 - 2077
  • [8] Caballero-Morales SO, 2015, INT J IND ENG-THEORY, V22, P382
  • [9] Davenport, 1903, PROCESS INNOVATION R
  • [10] Simulation optimization of a multi-stage multi-product paint shop line with Response Surface Methodology
    Dengiz, Berna
    Belgin, Onder
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2014, 90 (03): : 265 - 274