Tecnomatix: A Born Global Company

In the beginning of 2004, Tecnomatix Technologies Ltd. (NASDAQ: TCNO), the driving force in Manufacturing Process Management (MPM), announced a global agreement with Ford, a major automotive manufacturer. The agreement to implement Tecnomatix MPM solutions throughout the customer's manufacturing operations worldwide represented an expansion of an existing relationship with this manufacturer and was expected to generate total revenues in excess of US$50 million over the next four years. At the beginning of 2004 Tecnomatix, an Israel-based high-tech company, held a staggering 70% market share (over 2,000 clients) in the MPM market together with its strategic partner, EDS. Although the company reported a net loss in 2003, it had sufficient cash reserves that would allow it to continue operations without needing external funding for the down period

Ergonomic Analysis of the Selected Work Activities in the Company

Import 02/11/2016Předložená bakalářská práce se zabývá ergonomickou analýzou pracovních činností v reálném podniku. V první části je uvedena problematika ergonomie obecně, definuje několik pojmů s ergonomií spjatých. Rozebírá rizikové faktory pracovního prostředí a způsoby hodnocení pracovního prostředí. Seznamuje čtenáře se softwarem Tecnomatix Jack od firmy Siemens, který patří do platformy PLM. V další části v krátkosti představuje podnik Edwards a jeho historii. V části poslední řeší samotnou analýzu pomocí výše uvedeného softwaru a hodnotí získané údaje.This bachelor thesis deals with the ergonomic analysis of working activities in a company. The first part shows ergonomics as a science and defines several ergonomic terms. The other parts analyse the risk factors of work environment in general and the way to rate them. It informs the reader about the software Tecnomatix Jack by Siemens, which is a part of the PLM platform. Then it introduces the Edwards company and its history as well. There are results of the ergonomic analysis made by Tecnomatix Jack in the last part of the thesis.040 - Katedra bezpečnosti práce a procesůvýborn

Simulator of production lines

Cílem této diplomové práce Simulátor výrobních linek je navrhnout koncept simulátoru dopravníkových výrobních linek se zaměřením na testování řídicího programu PLC a tento simulátor realizovat. V práci je uveden popis hotových řešení dostupných na trhu, popis testovaného řídicího algoritmu PLC, navrhovaný koncept simulátoru, popis vytvořeného programu, ukázka jeho použití na konkrétní aplikaci a zhodnocení jeho možností.The aim of this master’s thesis Simulator of Production Lines is to design a concept of the simulator of conveyor production lines with focus on testing control software for PLC and to implement this simulator. The thesis includes description of ready to use solutions available on the market, description of PLC control algorithm to be tested, designed concept of the simulator, description of the implemented software, demonstration of the simulator on a specific task and evaluation of its capabilities.

Software of Olp for Industrial Robots-Manipulators

Приведен обзор известных САПР и систем автономного программирования промышленных роботов, которые позволяют создавать 3D-модели, проводить предварительное тестирование путем имитационного моделирования в виртуальной среде, оптимизировать траектории и алгоритмы управления промышленными роботами.= The article gives an overview of the well-known CAD systems and autonomous programming systems for industrial robots that allow creating 3D models, pre-testing by simulation in a virtual environment, optimizing trajectories and algorithms for controlling industrial robots

Motion monitoring of robots and PLC controlled assembly systems using process simulate

El presente proyecto fin de carrera, realizado en la Universidad de Ciencias Aplicadas de Osnabrück, está enmarcado en el área de Robótica Industrial. El objetivo principal consiste en poder monitorizar en tiempo real los datos de movimiento de los diferentes robots y sistemas de transporte de un proceso industrial. La aplicación de monitorización está programada con la ayuda de la API (Interfaz de Programación de Aplicaciones) Tecnomatix, del software Process Simulate de Siemens. Esta API provee las clases y métodos necesarios para programar una librería dinámica que pueda representar, en el modelo 3D de Process Simulate, los datos de movimiento del proceso industrial. Para ello, se programa el software PLC (controlador lógico programable) en el lado del servidor, que se encarga de capturar los diferentes datos y transferirlos a través de la red mediante el protocolo TCP/IP. Posteriormente, cada cliente puede ejecutar la aplicación de monitorización y conectarse al servidor, visualizando los movimientos en el modelo 3D. De este modo, es posible monitorizar y controlar un proceso industrial en tiempo real a miles de kilómetros, siempre y cuando se disponga de una conexión a internet, ofreciendo la posibilidad de detectar posibles fallos de forma inmediata y llevar un seguimiento a lo largo de todo el proceso.This master thesis, carried out at the University of Applied Sciences of Osnabrück, is framed in the Industrial Robotics area. The main objective consist of real-time motion data monitoring of different robots and conveyor systems of an industrial process. The monitoring application is programmed with the help of the API (Application Programming Interface) Tecnomatix, Process Simulate software from Siemens. This API provides classes and methods needed to program a dynamic library that can represent, in the 3D model Process Simulate, the motion data of the industrial process. For that, the software PLC (Programmable Logic Controller) is programmed on the server side, which is responsible for capture the different data and transfer through the network, using the TCP/IP protocol. After that, each client can run the monitoring application and connect to the server, visualizing movements in the 3D model. Thereby, it’s possible to monitoring and control an industrial process in real-time, thousands of kilometers away, provided they have a connection to the Internet. Offering the chance to detect faults immediately and track along the whole process

Intelligent Digital Twin to make Robot Learn the Assembly process through Deep Learning

The objective of this paper is to utilize deep learning technology to develop an intelligent digital twin for the operational support of a human-robot assembly station. Digital twin, as a virtual portrayal, is used to design, simulate, and optimize the complexity of the assembly system. For testing purposes, a convolutional neural network (CNN) is integrated with a digital twin. It is used for the application of a collaborative robot for an assembly application. Collaborative robots are a new form of industrial robots that are safe for humans and can work alongside humans and have received ample attraction in recent years for automation of simple to complex tasks

Simulation as a support tool in assembly systems planning

This paper deals with assumption that simulation is the only reliable method for manufacturing and assembly systems profiling. Simulation is essential software tool that improve design and planning of complex automated manufacturing and assembly systems. Systems with high level of complexity need to be tested even before they are constructed in real manufacturing plant. Elimination of errors in production before the first test production is initiated means huge savings in expenses and time. In this article are mentioned theoretical base of topic and example as a case study. For case study was used software Tecnomatix plant simulation from company SIEMENS

Simulation model of a stop production line: the relationship between financial return and productivity

Making innovations to become competitive is not always an easy task, and in the industrial sphere, this thinking becomes even more complex. In this sense, proper use in raw material transformation processes becomes very challenging for managers, since improving processes is a condition where more can be done with less. Thus, many organizations seek to develop improvements through existing activities using a variety of techniques that are addressed in the literature, such as value flow mapping, lean production, simulations, among others. Therefore, this article aims to study and apply the computational simulation, through the use of Tecnomatix Plant Simulation © software, to obtain the best relation between financial return and productivity of a upholstery production line. In the methodology of this work was carried out the structural proposition of five scenarios. For the construction of these, a current scenario of the production line was carried out and for each new scenario, operators were added with new tasks to be performed. Although the final results show a better financial return for scenario three, the results obtained in scenario five are significant in terms of productivity indicators, although the cost with extra operators is much higher than in the other scenarios. Thus, it was clear the relevance of applying simulation in the production line, since the model assisted the managers in the decision making

Production Line Virtualization Process Using Plant Simulation Tool

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\u27s 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%