scholarly journals Increasing the efficient manufacturing process using the Tecnomatix Plant Simulation software module and another management method

Author(s):  
Marek Kliment ◽  
Peter Trebuňa ◽  
Richard Duda ◽  
Štefan Král
2014 ◽  
Vol 611 ◽  
pp. 370-375 ◽  
Author(s):  
Peter Trebuňa ◽  
Marek Kliment ◽  
Milan Fiľo

The paper deals with optimization of the production process in a selected company. The proposal of elimination of bottlenecks that were revealed in the analysis of the production process is described here in this paper. For clarity and zooming of the production process models were processed in a simulation software module from Siemens PLM Software - Tecnomatix Plant Simulation. Improvement suggestions will help to reduce the time of production operations, to improve product quality, to facilitate the work of the staff and to increase economic efficiency of production. The application of PLM software enables companies to analyze and easily develop manufacturing processes in the future, or to build new processing lines and departments [4]. It will help to optimize the current state of workplace and will allow easier data management throughout the life cycle, not just within this particular company, but throughout the corporation to which the enterprise belongs.


2015 ◽  
Vol 816 ◽  
pp. 555-561
Author(s):  
Marek Kliment ◽  
Peter Trebuňa ◽  
Miriam Pekarčíkova ◽  
Radko Popovič ◽  
Jaromír Markovič

The paper deals with application of simulation software for optimizing lines dealing with the manufacture of doors a car. The introduction is described briefly compare advantage and disadvantages of applying simulation in different processes [2]. It also includes a brief description of the manufacturing process of a car doors. Based on the results of simulation software Tecnomatix Plant Simulation evaluates two potential variants of optimization [10].


2021 ◽  
Vol 13 (14) ◽  
pp. 7989
Author(s):  
Miriam Pekarcikova ◽  
Peter Trebuna ◽  
Marek Kliment ◽  
Michal Dic

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.


2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.


2018 ◽  
Vol 22 (2) ◽  
pp. 207-211 ◽  
Author(s):  
Celine Bret ◽  
Elaine Smith ◽  
Erica Vit ◽  
Jerome F. Hayes ◽  
John D. Hayler ◽  
...  

2000 ◽  
Author(s):  
Baojiu Lin ◽  
Won Gil Ryim

Abstract Improvements in part quality and cost reduction are the primary objectives of CAE use in the injection molding industry. Engineers use advanced injection molding simulation software to analyze and verify their part designs. Traditionally, engineers have had to rerun simulations to verify the effects of changes in gate locations. For complex models, simulations are very time consuming. To reduce the design cycle time, a Design Optimization Module is developed by C-MOLD. One of the functions of this new software module is to automatically select optimal gate locations. This innovative technology is the result of close R&D collaboration between C-MOLD and LG-PRC in Korea. An overview of gate location optimization technology is presented in this paper, and several examples are also presented as illustration.


2019 ◽  
Vol 23 (4) ◽  
pp. 603-613
Author(s):  
Minetaka Isomura ◽  
Taiju Nakamura ◽  
Atsushi Kamada ◽  
Takeo Sasaki ◽  
Toshiyuki Uemura ◽  
...  

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