scholarly journals Production Line Virtualization Process Using Plant Simulation Tool

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%.

scholarly journals SIMULATION MODELLING AND ANALYSIS FOR IMPROVING THE PERFORMANCE OF PRODUCTION CASE STUDY: JORDANIAN VEHICLES MANUFACTURING COMPANY

2021 ◽  
Vol 8 (3) ◽  
pp. 229-236
Author(s):  
Mohammad Al-Tahat ◽  
Ammar Alrousan ◽  
Mahmoud Mistarihi ◽  
Faten Al Shalabi ◽  
Sajeda Abu-Bajah
Keyword(s):  
Production Line ◽  
Simulation Modelling ◽  
Simulation Software ◽  
Resource Utilisation ◽  
New Production ◽  
Work In Process ◽  
Manufacturing Company ◽  
Arena Simulation ◽  
Reducing Costs ◽  
Line Design

Modelling and analysing production lines are crucial for the research community and designers interested in increasing production utilisation and reducing costs. This paper aims to model and analyse a real production process of a Jordanian vehicles manufacturing company and improve production line resource utilisation using ARENA simulation software. The methodology used is simulation modelling to develop a new production line design. Performance measures are obtained from data given by the company management and direct observation of the production line. A suggested modified Arena simulation model is developed for the production line processes based on the collected data. Verification and validation analysis of the proposed model is done. Results show that the proposed model’s performance is better than the current one in terms of; overall total processing time, the overall waiting time, the overall work in process, and the overall utilisation.

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

2014 ◽  
Vol 611 ◽  
pp. 370-375 ◽  
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.

The Organization of Engineering Shop “Lean” Management System

2014 ◽  
Vol 682 ◽  
pp. 555-560
Author(s):  
Victoria V. Kokareva ◽  
Andrey N. Malyhin ◽  
V.G. Smelov
Keyword(s):  
Management System ◽  
Swot Analysis ◽  
Value Stream Mapping ◽  
Lean Management ◽  
Machine Shop ◽  
Discrete Simulation ◽  
Value Stream ◽  
Reducing Costs ◽  
Plant Simulation ◽  
Lean Management System

This article describes the analysis of the manufacturing enterprise (machine shop). We propose the methods and tools of optimization in order to build a "lean" management system. The purpose of constructing this management system is to eliminate losses, reducing costs, increasing productivity. We used SWOT-analysis tools, VSM (value stream mapping) and discrete simulation (Plant Simulation).

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

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].

scholarly journals VERIFICATION OF PROPOSALS FOR INCREASING THE EFFICIENCY OF THE PRODUCTION PROCESS USING MANAGEMENT METHODS USING SIMULATION SYSTEM TECNOMATIX

2020 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Marek Kliment ◽  
Peter Trebuňa ◽  
Ladislav Rosocha ◽  
Štefan Král ◽  
Richard Duda
Keyword(s):  
Production Process ◽  
Automotive Industry ◽  
Software Tool ◽  
Simulation Software ◽  
Management Tool ◽  
System Management ◽  
Planning Systems ◽  
Work Activities ◽  
Industrial Enterprises ◽  
Plant Simulation

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.

Multi-Domain Modeling and Co-Simulation Based on Modelica and Simulink

2014 ◽  
Vol 596 ◽  
pp. 927-930
Author(s):  
Guang Shu Tian ◽  
Li Chen Zhang
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Collaborative Work ◽  
Simulation Software ◽  
Simulation Tool ◽  
Domain Modeling ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Simulation Tools ◽  
Simulation Based

A co-simulation solution based on multi-domain modeling with Modelica is proposed to achieve the co-simulation of multi-domain modeling and simulation environment with other simulation environment . Based on the connection mechanism of multi-domain Modelica models the co-simulation under S-function co-simulation framework is implemented using the converting principle between Modelica models and Simulink modules. A co-simulation example between MWorks which is a multi-domain physical system modeling and simulation tool based on Modelica and AMESim indicates that the method can extend the application of Modelica models and achieve the collaborative work with multi-domain modeling and simulation tools and other simulation software.

Logistics Simulation and Optimization Design of One Production Line Based on Flexsim

2013 ◽  
Vol 397-400 ◽  
pp. 2622-2625 ◽  
Author(s):  
Xiu Ying Tang ◽  
Jie Shi ◽  
Li Chang Chen ◽  
Lin Lin Yang ◽  
Xue Mei Leng
Keyword(s):  
Production Process ◽  
Production Line ◽  
Optimization Design ◽  
Manufacturing Industry ◽  
Simulation Analysis ◽  
Rapid Development ◽  
Random Variable ◽  
Simulation Software ◽  
Product Line ◽  
Simulation And Optimization

At present, with the rapid development of manufacturing industry, the problem in the production process is constantly exposed. This kind of production system is very complicated that it is often the spatial variable, time variable and random variable interdependent dynamic problems. The computer simulation software is the one of the best effective way to find out the problems existing in the production process. This paper takes one product line as example, using Flexsim simulation software in the production line for modeling and simulation. Then the simulation test and simulation analysis is done to find out the bottleneck of the system. Finally proposal is given to solving the bottleneck problem, and Flexsim simulation of new distribution is proved that it could improve the efficiency of the production line.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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

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.

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