A simulation method and distributed server balancing results of networked industrial robots for automotive welding and assembly lines

Abstract

The fundamental purpose of building simulation models is because it is often impossible to experiment with real-world systems. In terms of our networked robots in the automotive welding and assembly lines, simulating possible scenarios, both for design as well as for operation control purposes, is very important for the design team, as well as for management, due to the per-minute-cost of every failed robotic operation. In order to support, both the design as well as the management community of such systems, in this article, we discuss a generic simulation methodology, using the IT-Guru OPNET simulation program, as well as show practical results, that demonstrate the benefits of simulation methods.

Network simulation models of lean manufacturing systems in digital factories and an intranet server balancing algorithm

“…Therefore, the analyst must specifically select the statistics that is valuable for the particular study to collect before running a simulation (IT-Guru, OPNET Technologies, 2002, Ranky 2002a, 2003c. As in our simplified example, as illustrated in figures 1 and 2, based on the plotted graphs and screens, management can easily evaluate the need of the balanced server architecture, and even investigate 'what if' scenarios further, without committing themselves to major upfront investments.…”

“…Simulation for our networked robot engineering purposes is usually performed on a computer with powerful software, nevertheless 'mental simulation', typically preceding any computerized work, is also a valuable and very powerful engineering problem solving method, because it enables the system analysts and engineers to think of real-world, or imagined experiences and reason over which parameters and values are truly important, and which are ignorable. In terms of supporting this stage of reasoning with an analytical, quantitative and computational approach, we recommend our CORA, Component-oriented Requirements Analysis, and our PFRA, Process Failure Risk Analysis software tools; both the subject of other publications (Boardman 2000, Carr 2002, Chang and Chang 2000, Ranky 2002a, 2003c.…”

Simulação computacional aplicada na análise do projeto de um restaurante universitário

“…Tais publicações retratam aplicações em planejamento e controle de projetos/sistemas conceituais [9] [10], sistemas multiagentes [11], protocolos de comunicação [12], tráfego multimídia em redes IP [13], balanceamento e projeto de linhas de produção [14] [15], etc. Di Gironimo et al [1] destacam que a simulação representa uma ajuda valiosa na análise de cenários e na mensuração ou validação de soluções.…”