scholarly journals Identification of production bottlenecks with the use of Plant Simulation software

2016 ◽  
Vol 8 (4) ◽  
pp. 103-112 ◽  
Author(s):  
Mateusz Kikolski
Keyword(s):  
Computer Simulation ◽  
Production Capacity ◽  
Simulation Models ◽  
Simulation Software ◽  
Computer Assisted ◽  
Problem Analysis ◽  
Production Lines ◽  
Major Objective ◽  
Plant Simulation ◽  
Research Show

Abstract The problem of bottlenecks is a key issue in optimising and increasing the efficiency of manufacturing processes. Detecting and analysing bottlenecks is one of the basic constraints to the contemporary production enterprises. The enterprises should not ignore problems that significantly influence the efficiency of the processes. People responsible for the proper course of production try to devise methods to eliminate bottlenecks and the waiting time at the production line. The possibilities of production lines are limited by the throughput of bottlenecks that disturb the smoothness of the processes. The presented results of the experimental research show the possibilities of a computer simulation as a method for analysing problems connected with limiting the production capacity. A computer-assisted simulation allows for studying issues of various complexities that could be too work-consuming or impossible while using classic analytical methods. The article presents the results of the computer model analysis that involved the functioning of machinery within a chosen technological line of an enterprise from a sanitary sector. The major objective of the paper is to identify the possibility of applying selected simulation tool while analysing production bottlenecks. An additional purpose is to illustrate the subjects of production bottlenecks and creating simulation models. The problem analysis involved the application of the software Tecnomatix Plant Simulation by Siemens. The basic methods of research used in the study were literature studies and computer simulation.

scholarly journals Increasing yoghurt daily production with modeling and simulation process

2019 ◽  
Vol 49 (1) ◽  
Author(s):  
Adolfo Vicente Araújo ◽  
Daniel Marçal de Queiroz ◽  
Gemima Santos Arcanjo ◽  
Santos Henrique Brant Dias ◽  
Renato Martins Alves ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Modeling And Simulation ◽  
Production Capacity ◽  
Simulation Software ◽  
Decision Makers ◽  
Productive Capacity ◽  
Daily Production ◽  
Production Sector ◽  
Simulation Process ◽  
Current Production

ABSTRACT: The objective of this research was to use the modeling and computer simulation to support decision makers, aiming to increase the productive capacity of the agro-industry of LaticínioFunarbe. Specifically, it has modeled the current yoghurt production sector for simulation that enables it to meet the new demand. The Arena 14.7 simulation software was used to conduct the modeling. To validate the model, the output of yoghurt production collected at the factory for three months was compared with the output from the simulated computational model. Two indicators were established to perform analyzes of four different scenarios. The implemented model resulted in an increase in the production capacity of 5,000L.d-1 of yoghurt, corresponding to a production of yoghurts processed daily three times higher than the current production.

Design a Platform for Multi-Criteria Analysis of a Computer Simulation

2014 ◽  
Vol 693 ◽  
pp. 463-468
Author(s):  
Radek Havlik ◽  
Alena Gottwaldova
Keyword(s):  
Computer Simulation ◽  
Simulation Models ◽  
Visual Basic ◽  
Simulation Software ◽  
Manufacturing Processes ◽  
Basic Software ◽  
Multi Criteria Analysis ◽  
User Friendly ◽  
Made In

This paper deals with research in a computer simulation of the manufacturing processes. This article propose a platform for final users when doing experiment with a processes simulation models. The propose platform is called “user friendly”. A module for a final users is not universal but is a midi-universal. The midi-universal module cooperates with the computer simulation software, especially for this experiment has been used software called “Witness”. A platform for multi-criteria analysis is made in a Visual Basic software.

APPLICATION OF COMPUTER SIMULATION IN IMPROVING THE PROCESS OF SCREWS PRODUCTION

2017 ◽  
Vol 66 (0) ◽  
pp. 89-96
Author(s):  
Julia Siderska ◽  
Katarzyna Perkowska
Keyword(s):  
Computer Simulation ◽  
Spatial Arrangement ◽  
Simulation Software ◽  
Production Flow ◽  
Processing Times ◽  
Machine Simulation ◽  
Process Line ◽  
Set Up ◽  
Plant Simulation

The aim of this work is to present and discuss the possibility of using computer simulation to improve the production flow of sheet metal screws in the carpentry plant. The paper includes descriptive and schematic characterization of the present production system of the plant in one of the Polish companies. Using the Tecnomatix Plant Simulation software, a digital model of the process line was drawn up, mirroring the spatial arrangement of workstations in the production hall and their operators, as well as actual processing times and set-up times of each machine. Simulation was performed to identify bottlenecks in the entire production process, and several modifications were proposed on that basis so as to optimize the workloads of the workstations and increase production.

Model to Determine the Economic Scale of Giga-Fab for Wafer Fabrication by Simulation

2014 ◽  
Vol 543-547 ◽  
pp. 4487-4490 ◽  
Author(s):  
Ying Mei Tu ◽  
Che Hao Chang ◽  
Chun Wei Lu
Keyword(s):  
Cycle Time ◽  
Production Management ◽  
Analytical Data ◽  
Production Capacity ◽  
Simulation Software ◽  
High Tech ◽  
Production Cycle ◽  
Increase Risk ◽  
Production Flexibility ◽  
Plant Simulation

Semiconductor manufacturing is a capital-intensive and high-tech industry. In order to reduce production cycle time and increase production flexibility, the semiconductor manufacturers will expand the capacity in the existed fab and build up new fabs. However, the expandability of production capacity is not infinite since the huge fab scale will increase risk of production management. Therefore, it is necessary to find out the factors which will influence the performance of fab scale. This research uses the eM-plant simulation software to construct a simulation environment to conduct simulation experiment. The experimental environments were divided into two parts and named as high and low product mix complexity separately. Furthermore, three more factors were taken into accounts, which included stability of machine, variation of fab scale and releasing rate. By simulation, the analytical data is collected and analyzed its trend in these different environments. Simulation results reveal the significance of factors under different environments. Based on these results, the managers can conclude an appropriate fab scale in giga-fab, which will help to reduce the cycle time of products and increase the total throughput of giga-fab.

Validating the Vertical Dynamic Performance of a Multi-Wheeled Combat Vehicle Computer Simulation Model

2005 ◽  
Author(s):  
Matthew J. Hillegass ◽  
James G. Faller ◽  
Mark S. Bounds ◽  
Moustafa El-Gindy ◽  
Seokyong Chae
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Dynamic Performance ◽  
Performance Testing ◽  
Simulation Models ◽  
Simulation Software ◽  
Full Scale ◽  
Computer Simulation Model ◽  
Vehicle Model ◽  
Combat Vehicle

Performance testing is an important step in the development of any vehicle model. Generally, full-scale field tests are conducted to collect the dynamic response characteristics for evaluating the vehicle performance. However, with increases in computational power and the accuracy of simulation models, virtual testing can be extensively used as an alternative to the time consuming and costly full-scale tests, especially for severe maneuvers. Validation of the simulation results is critical for the acceptance of such simulation models. In this paper, a methodology for validating the vertical dynamic performance of a virtual vehicle has been discussed. The dynamic performance of a multi-wheeled combat vehicle model specially developed using a multi-body dynamics code was validated against the measured data obtained on the U.S. Army Aberdeen Test Center’s (ATC) test courses. The multi-wheeled combat vehicle variant computer simulation model was developed in TruckSim, a vehicle dynamic simulation software developed by the Mechanical Simulation Corporation. Prior to validating the model, the vehicle weights, dimensions, tires and suspension characteristics were measured and referenced in the specially developed computer simulation model. The data for the tire and suspension characteristics were acquired from the respective leading manufacturers in the form of look-up tables. The predictions of the vehicle vertical dynamics on different road profiles at various vehicle speeds were compared with the field test results. The time domain data for the vertical acceleration at the vehicle center of gravity, pitching, vehicle speed and the suspension/damper displacement were compared to analyze the feasibility of using the computer simulation models to predict the vertical dynamic performance of the vehicle. Based on the results it was found that the particular combat vehicle computer simulation model is capable of predicting the vertical dynamic performance characteristics.

scholarly journals Production Planning Based on a Genetic Algorithm Controlled Simulation Model

2021 ◽  
pp. 233-243
Author(s):  
Alexey N. Sochnev
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Simulation Software ◽  
Simulation Approach ◽  
Fitness Functions ◽  
Optimization And Simulation ◽  
Plant Simulation ◽  
Positive Effect

The article proposes an approach to solving the task of operational calendar planning of production based on the application of the principles of the optimization and simulation approach. The production simulation model is implemented using the Tecnomatix Plant Simulation software. The optimization procedure is represented by a genetic algorithm. In the implementation of the genetic algorithm, a simulation model is used to evaluate fitness functions. An example of using the proposed approach for a typical production system is given and the positive effect of its application is confirmed. Features of use, positive and negative properties, as well as the possibility of replication to other types of simulation models are revealed

Design of Simulation Experiments Using DOE

2014 ◽  
Vol 693 ◽  
pp. 219-224
Author(s):  
František Manlig ◽  
František Koblasa
Keyword(s):  
Computer Simulation ◽  
Design Of Experiments ◽  
Business Processes ◽  
Simulation Models ◽  
Simulation Software ◽  
Model Design ◽  
Simulation Experiments ◽  
Essential Tool ◽  
Main Factors ◽  
Design Planning

Computer simulation becomes an essential tool improving the efficiency of business processes, due its ability to mimic the behavior of the simulated processes. However, Its use is not trivial. Simulation is not “only” about model design. Planning and implementation of simulation experiments are equally important. Manufacturers of the simulation software are aware of that and they provide support also in this area such as integrated heuristics algorithms. There are other options how to improve process of experimentations and one of them is methodology of DOE (Design of experiments).This article is focusing on mentioned area of planning of the simulation experiments using DOE and it shows gained experiences on particular example. This article describes design of the experiment, how to select main factors (their influence and influence of their interaction) and experimentation itself using SW Minitab. Further there are presented experiment results given by simulation models. There are briefly discussed benefits and disadvantages of this approach.

Laboratory study and computer model development related to gross solids' movement in combined sewers

1996 ◽  
Vol 33 (9) ◽  
pp. 39-47 ◽  
Author(s):  
John W. Davies ◽  
Yanli Xu ◽  
David Butler
Keyword(s):  
Computer Simulation ◽  
Pipe Flow ◽  
Model Development ◽  
Simulation Models ◽  
Laboratory Studies ◽  
Pilot Model ◽  
Sewer Systems ◽  
Flow Quality ◽  
Computer Simulation Models ◽  
Theoretical Considerations

Significant problems in sewer systems are caused by gross solids, and there is a strong case for their inclusion in computer simulation models of sewer flow quality. The paper describes a project which considered methods of modelling the movement of gross solids in combined sewers. Laboratory studies provided information on advection and deposition of typical gross solids in part-full pipe flow. Theoretical considerations identified aspects of models for gross solids that should differ from those for dissolved and fine suspended pollutants. The proposed methods for gross solids were incorporated in a pilot model, and their effects on simple simulations were considered.

scholarly journals Analysis and Optimization of Two Film-Coated Tablet Production Processes by Computer Simulation: A Case Study

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Stefanie Hering ◽  
Nico Schäuble ◽  
Thomas M. Buck ◽  
Brigitta Loretz ◽  
Thomas Rillmann ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Model Building ◽  
Discrete Event ◽  
Simulation Software ◽  
Labor Costs ◽  
Event Simulation ◽  
Processing Times ◽  
Production Processes ◽  
Coated Tablet ◽  
Pharmaceutical Production

Increasing regulatory demands are forcing the pharmaceutical industry to invest its available resources carefully. This is especially challenging for small- and middle-sized companies. Computer simulation software like FlexSim allows one to explore variations in production processes without the need to interrupt the running process. Here, we applied a discrete-event simulation to two approved film-coated tablet production processes. The simulations were performed with FlexSim (FlexSim Deutschland—Ingenieurbüro für Simulationsdienstleistung Ralf Gruber, Kirchlengern, Germany). Process visualization was done using Cmap Tools (Florida Institute for Human and Machine Cognition, Pensacola, FL, USA), and statistical analysis used MiniTab® (Minitab GmbH, Munich, Germany). The most critical elements identified during model building were the model logic, operating schedule, and processing times. These factors were graphically and statistically verified. To optimize the utilization of employees, three different shift systems were simulated, thereby revealing the advantages of two-shift and one-and-a-half-shift systems compared to a one-shift system. Without the need to interrupt any currently running production processes, we found that changing the shift system could save 50–53% of the campaign duration and 9–14% of the labor costs. In summary, we demonstrated that FlexSim, which is mainly used in logistics, can also be advantageously implemented for modeling and optimizing pharmaceutical production processes.

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