Improvement of Production Process Parameters on the Surface Treatment Line by using TX Plant Simulation Software Tool

The contribution is focused on the production line, which covers assembly in assemblies in the automotive industry. This process consists of several assembly stations. The paper contains a brief description of production positions. The production process was analysed, and a snapshot of work activities was created. We created a simulation using the Tecnomatix Plant Simulation software tool. To increase efficiency, we also use the Hoshin method, which is commonly used in industrial enterprises. Hoshin Kanri is used as a system management tool to develop an annual tactic to implement in all departments and functions within the company. It is for organisations looking for ways to create an effective plan for the future. It is a composition of tools and principles that we can say are helpful in a set of change management and planning systems.

Download Full-text

Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

Sustainability ◽

10.3390/su13147989 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7989

Author(s):

Miriam Pekarcikova ◽

Peter Trebuna ◽

Marek Kliment ◽

Michal Dic

Keyword(s):

Lean Manufacturing ◽

Business Processes ◽

Software Tool ◽

Transportation Systems ◽

Simulation Software ◽

Simulation Methods ◽

Software Environment ◽

Production Logistics ◽

Pull System ◽

Plant Simulation

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.

Download Full-text

The Key Factor Research in Automobile Covering Mechanical Manufacturing Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.548.566 ◽

2012 ◽

Vol 548 ◽

pp. 566-570

Author(s):

Xin Jie Zhang ◽

Jian Qiang Zhou

Keyword(s):

Production Process ◽

Process Parameters ◽

Manufacturing Process ◽

Fem Simulation ◽

Simulation Software ◽

Friction Condition ◽

Key Factor

The influence rules of the different parameters on automotive covering stamping forming and springback, such as blank-hold force、friction condition、draw-bead is studied using the FEM simulation software DYNAFORM combined with the elastic and plastic FEM. In practical production process, through reasonable setting of process parameters, the springback is effectively controlled, the quality of the products is improved.

Download Full-text

Optimization and Elimination of Bottlenecks in the Production Process of a Selected Company

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.611.370 ◽

2014 ◽

Vol 611 ◽

pp. 370-375 ◽

Cited By ~ 1

Author(s):

Peter Trebuňa ◽

Marek Kliment ◽

Milan Fiľo

Keyword(s):

Life Cycle ◽

Production Process ◽

Simulation Software ◽

Process Models ◽

Manufacturing Processes ◽

Improve Product Quality ◽

Software Module ◽

Current State ◽

New Processing ◽

Plant Simulation

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.

Download Full-text

Use of Simulation in Optimization of the Production Process and their Car Doors Assembly

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.816.555 ◽

2015 ◽

Vol 816 ◽

pp. 555-561

Author(s):

Marek Kliment ◽

Peter Trebuňa ◽

Miriam Pekarčíkova ◽

Radko Popovič ◽

Jaromír Markovič

Keyword(s):

Production Process ◽

Manufacturing Process ◽

Simulation Software ◽

Plant Simulation

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].

Download Full-text

Production Line Virtualization Process Using Plant Simulation Tool

International Journal for Innovation Education and Research ◽

10.31686/ijier.vol9.iss9.3329 ◽

2021 ◽

Vol 9 (9) ◽

pp. 188-201

Author(s):

José Henrique da Costa Queiroz Gonzalez ◽

Nelson Kuwahara

Keyword(s):

Production Process ◽

Production Line ◽

Simulation Software ◽

Simulation Tool ◽

Simulation Environment ◽

Discrete Simulation ◽

Real Process ◽

The World ◽

Reducing Costs ◽

Plant Simulation

The constant changes in the world generate demands for improvements in processes, either by reducing costs or increasing capacity. One of the most used methods today for process optimization is Discrete Simulation. This research presents a discrete simulation application, using the Tecnomatix Plant Simulation software to simulate a production line in the Manaus Industrial Pole. Mathematical modeling made it possible to understand the parameters involved in the production process and worked as a guide for the production line's composition in the Plant Simulation environment. The production line modeled in Plant Simulation used real input data obtained in two months of production in 2020. The results obtained showed that the modeling reached the objective of virtualizing the production process, once that the differences between the simulation and the real process were at most 1.07%.

Download Full-text

Evaluation of the energy demands for a floating O&M-hub

Journal of Ocean Engineering and Marine Energy ◽

10.1007/s40722-021-00191-1 ◽

2021 ◽

Author(s):

F. Wittmann ◽

C. Schmitt ◽

F. Adam ◽

P. Dierken

Keyword(s):

Software Tool ◽

Energy System ◽

Spare Parts ◽

Simulation Software ◽

Offshore Wind ◽

Baseline Scenario ◽

Horizon 2020 ◽

Energy Supply System ◽

The North ◽

Energy Demands

AbstractThe Energyhub@Sea concept is one of the four research applications of the Space@Sea project funded by the EU’s Horizon 2020 research program (GA number: 774253). The focus of this paper is the evaluation of the energy demands of an energy self-sufficient maintenance platform at the location of Helgoland in the North Sea. In view of this, a standardized modular floater was developed as an offshore wind operation and maintenance base, which in the following paper is referred to as an O&M hub. The O&M hub is intended to be equipped with accommodation facilities and various renewable energy infrastructure as well as spare parts logistics, enabling the platform to perform maintenance of offshore gearless wind turbines with a capacity of up to 10 MW. To be energy self-sustaining, an energy supply system for the hub was developed and simulated at a resolution of ten minutes by means of the Top-Energy simulation software, a commercial software tool. As a basis for the simulation, an approach for the automated determination of flexible load profiles, in resolutions of up to ten minutes was developed. This load profile generator creates load profiles on the basis of environmental conditions, technical characteristics, and expected behaviors of the inhabitants. On the basis of the generated load profiles, a first layout (referred to as baseline scenario) for the different components of the energy system was evaluated and tested through simulation. In a second step, three optimization scenarios were developed and simulated with regards to the financial feasibility of the Energyhub.

Download Full-text

The use of simulation modelling for determining the capacity of railway lines in the Czech conditions

Open Engineering ◽

10.1515/eng-2020-0026 ◽

2020 ◽

Vol 10 (1) ◽

pp. 224-231

Author(s):

Erik Tischer ◽

Petr Nachtigall ◽

Jaromír Široký

Keyword(s):

Czech Republic ◽

Traffic Flow ◽

Software Tool ◽

Simulation Modelling ◽

Energy Performance ◽

Simulation Software ◽

The Czech Republic ◽

Railway Line ◽

Specialized Software ◽

Railway Infrastructure

AbstractSimulation modelling is one way to determine the capacity of railway lines. The specialized software tool OpenTrack was used for simulation. The aim of this paper was to find out whether the OpenTrack simulation software can be used for the calculation of headway, and to compare the results with the methodology of the Railway Infrastructure Administration (SŽDC). Using the software tool, a detailed transport network model can be created including all its important characteristics. The simulation follows the movements and behaviour of trains with predefined parameters on the modelled railway line. OpenTrack allows for monitoring a range of parameters including not only train delays, train conflicts and train traffic flow, but also for instance train energy performance and headways. During the first stage of work with OpenTrack, a simulation model was created, not reflecting any existing infrastructure but including parameters typical of railway lines in the Czech Republic, such as the configuration of gridirons, length of station tracks, size of block sections, etc. This model was subsequently used for the simulation of type train set journeys, and a headway calculator was used for the calculation of headway values. These values were compared with the methodology used by the Railway Infrastructure Administration. The paper is concluded by the comparison of the above mentioned approaches.

Download Full-text

Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software

MATEC Web of Conferences ◽

10.1051/matecconf/201820303005 ◽

2018 ◽

Vol 203 ◽

pp. 03005

Author(s):

Idzham Fauzi Mohd Ariff ◽

Mardhiyah Bakir

Keyword(s):

Simulation Model ◽

Dynamic Simulation ◽

Stable Condition ◽

Oxygen Demand ◽

Simulation Software ◽

Petrochemical Plant ◽

Dynamic Simulation Model ◽

Plant Monitoring ◽

Plant Simulation

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.

Download Full-text