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2 edition of Increasing manufacturing performance using computer simulation found in the catalog.

Increasing manufacturing performance using computer simulation

R. Birrell

Increasing manufacturing performance using computer simulation

an industrial case study

by R. Birrell

  • 40 Want to read
  • 12 Currently reading

Published by TWI in Cambridge .
Written in English


Edition Notes

Statementby R. Birrell.
Series587/1997
ContributionsWorld Centre for Materials Joining Technology.
ID Numbers
Open LibraryOL16809400M

Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. The solidThinking manufacturing product line encompasses simulation tools to optimize the entire manufacturing process for casting, metal and polymer extrusion, sheet metal forming and more. Users are able to validate designs early in the manufacturing process with the simplicity and affordability of the simulation software.

There are several textbooks with titles similar to this book. Principle among these are: Modeling and Analysis of Manufacturing Systems by Askin and Stan-dridge, Manufacturing Systems Engineering by Stanley Gershwin, Queueing The-ory in Manufacturing .   Simulation in Manufacturing Detailed modeling of components and manufacturing scenarios Accurate timing and behavior of the modeled systems Manual work, worker-machine and fully automated manufacturing modeling possibilities Any type of production environment: jobbing, intermittent, mass production Resources behavior described by state machines.

manufacturing remains an important part of the global economy. There have been numerous efforts to use modeling and simulation tools and techniques to improve manufacturing efficiency over the last four decades. While much progress has been made and an increasing number of manufacturing system decisions are being made based on. Computer Simulation Optimizes Additive Manufacturing Nov 4, Sisson hopes to lower the cost of manufacturing by using innovative computational modeling to improve direct-metal AM without sacrificing necessary performance. Using computer software to develop alloy chemistries and heat-treating processes greatly reduces reliance upon.


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Increasing manufacturing performance using computer simulation by R. Birrell Download PDF EPUB FB2

Simulation in manufacturing systems is the use of software to make computer models of manufacturing systems, so to analyze them and thereby obtain important information. It has been syndicated as the second most popular management science among manufacturing managers.

However, its use has been limited due to the complexity of some software packages, and to the lack. In manufacturing, the use of computer simulation has led to significant benefits: risk reduction, greater understanding, operating cost reduction, lead time reduction, faster plant changes, and capital cost reduction.

However, these benefits are rarely attained, since only a few manufacturing managers are aware of the technology. Discusses simulation, its benefits and the range of Cited by: A Computer Simulation Approach to Improve Productivity of Automobile Assembly Line: A Case Study With Vishal Naranje, Anand Naranje This chapter utilizes discrete system simulation to redesign the layout and balance workloads in order to improve assembly line : Vishal Naranje, Anand Naranje.

With the increasing complexity of supply chains in aerospace manufacturing, simulation has become a powerful tool to assess performance. Conventional simulation models are constructed by experts. The increasing trend toward computer-integrated manufacturing (CIM) in today's industry created a need for an effective process control.

The objective of the inspection process is not only preventing shipment of defective parts but also providing a feedback to keep the manufacturing process in : Ahmad K. Elshennawy, M.

Nashat Fors. The second paper, by Jain, Barber, and Osterfeld, describes a specific application of discrete event simulation: plant floor scheduling in computer integrated manufacturing.

Although specific in focus, this contribution has a general interest in that it describes the integration of an expert system with simulation software. the lens manufacturing process flow of at firm in order to identify improvement-prone areas and improvement alternative solutions were proposed [19].

Other work illustrates the use of Witness computer simulation to design the production of a manufacturing company that produces snow-melting modules. The analysis presented here describes.

use an analytical performance prediction approach to improve the performance of discrete event simulation. They evaluated their method based on an industrial case study. Mahdavi [35]et al development of a simulation. -based decision support system for controlling stochastic flexible job shop manufacturing systems.

Simulation means mimicking of real life or potential situations, usually using computers. It is the imitative representation of the functioning of one system or process by means of the functioning of another, such as a computer simulation of an industrial process.

With simulation, one can. Abstract. Engineers need to know a wide spectrum of modern techniques and tools to be able to apply them in their professional work. Modeling and simulation are examples of the activities that are commonly undertaken by modern engineers, especially in the context of Industry concept.

Manufacturing Engineering: How did you become involved with simulation software. Paolo Guglielmini: I worked with simulation software as a mechanical engineering student and a professional engineer at CERN.

My experience of using Computer Aided Engineering (CAE) simulation tools during this time has helped to shape MSC Software’s philosophy of open simulation. Papadopoulos et al.

[4] stated that "Simulation of production lines is a powerful tool in obtaining the performance measures where analytical methods are either difficult or impossible to use". This paper explores the linkages between key features of the new product development (NPD) process and NPD performance and suggests ways of designing the process to improve performance.

Using a stochastic computer model, we examine, under varying uncertainty conditions, how the key features of overlapping and functional interaction affect the.

The use of computer-based simulation prior to mannequin-based simulation improved the achievement of learning goals and outcomes. In addition to improving participants' skills, completing the computer-based simulation first may improve participants' confidence during the more real-life setting achieved in the mannequin-based simulation.

Increasing the efficiency of production planning is a very hot topic from the perspective of introducing lean production into manufacturing. Simulation study dealing with simulation application for production planning support is a fundament for enhancing production systems and reduction of bottleneck occurrences.

to increase throughput By using simulation to develop smarter maintenance rules, GM increased throughput by 5% to meet an increase in demand, without increasing costs.

“Vehicle manufacturing is a highly competitive industry and we need to remain flexible to cope with fluctuations in demand. SIMUL8 has been a highly effective tool for.

This book describes computer simulation concepts then provides basic details about using discrete-event computer simulation for decision making. Input data collection and analysis, model construction, project mechanics, output analysis, verification, validation, reporting, logic transfer, and robust experimental design are all covered in detail.

Computer Modeling and Simulation. Computer simulation modeling is a discipline gaining popularity in both government and industry. Computer simulation modeling can assist in the design, creation, and evaluation of complex systems.

D esigners, program managers, analysts, and engineers use computer simulation modeling to understand and evaluate ‘what if’ case scenarios. Yesterday’s New York Times reported that Chinese high-performance computing researchers have achieved a performance of petaflops using their Tianhe-1A supercomputer.

The Tianhe-1A machine is now the world’s most powerful computer, 40% faster than the fastest American machine located at Oak Ridge National Laboratory. Computer simulation is the process of mathematical modelling, performed on a computer, which is designed to predict the behaviour of or the outcome of a real-world or physical they allow to check the reliability of chosen mathematical models, computer simulations have become a useful tool for the mathematical modeling of many natural systems in physics (computational physics.

Using simulation-based methods to improve manufacturing has significant benefits. The benefits are achieved in terms of cost savings and intangible assets such as a deeper understanding of the process.

The payback time of a typical improvement project is shorter than two years - in some cases only a few months. Benefits of applying simulation are. Improving the efficiency of a manufacturing company is an area of interest for both entrepreneurs and researchers seeking ways to achieve better performance.

Among the many ways to support production systems, forecasting and simulation of production systems is one of a great interest.The manufacturing industry is fast-paced and diversified.

Employees need to continually upgrade themselves if they want to stay relevant. The Manufacturer’s Institute predicts that there will be a production worker shortage of around 63% by This is a huge number, and the gap will keep increasing if not addressed.