This paper introduces an enhanced version of the Simplified Discrete Event Simulation Approach SDESA by incorporating a concurrent interruptions model, which is intended to make construction simulations more realistic without compromising the simplicity of original SDESA. Particular emphasis is placed on how model the effects of operational interruptions upon the...
This paper describes a modular autonomous material handling equipment solution for flexible automation. Discrete Event Simulation is in this case used as a tool for shortening time spent in many different phases of a manufacturing systems lifecycle. The paper presents the concept of autonomous modular material handling equipment, and how...
This paper describes an efficient heuristic to determine the tool count using the compact fab simulator FabSim Interactive. A combination of the Simulated Annealing algorithm and the knowledge of toolset usage, which is gained by repeated simulation of the factory, results in a fast approach. There are no restrictions concerning...
Pharmaceutical manufacturers generally employ either organic synthesis or biotechnology. Each of these technologies has unique challenges, but batch process simulation and scheduling tools can facilitate process development in both. Batch process simulation is distinct from both traditional chemical process simulation and dynamic simulation and is uniquely suited to pharmaceutical processes....
A key focus for management is determining steps that can achieve Productivity Gain - and doing it before the competition. A valuable tool in this quest is Operations Research (O.R.), a field devoted to the creation and management of productivity gain. Operations researchers identify ways to achieve high levels of...
Discrete Event Simulation DES is ranked among the top three tools for management support. However, it lags in becoming the successful tool in the industry that many experts have predicted. In this paper, sixteen projects accomplished in the area of DES have been analyzed in order to find the reasons...
This paper focuses on the steps taken to minimize human error in simulation modeling in General Motors. While errors are costly and undesirable in any field, they are especially harmful in simulation which has been struggling to gain acceptance in the business world for a long time. The solution discussed...
Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions, engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. This paper focuses on...
This paper reports on the development of the Electric Power and Communication Synchronizing Simulator EPOCHS, a distributed simulation environment. Existing electric power simulation tools accurately model power systems of the past, which were controlled as large regional power pools without significant communication elements. However, as power systems increasingly turn to...
The competitive environment faced by semiconductor equipment suppliers leaves no room for error when designing next generation tools. In addition, time to market, footprint, and equipment capabilities are all key to a successful product. At Cookson Electronics Equipment, tool designers used simulation to answer some difficult design questions, improve time...
This paper describes a resident-entity based pilot simulation study of a class of tools used in 300mm semiconductor manufacturing known as the wets tools or the wet benches. The paper develops a simulation model for the wets processing area that is based on the resident-entity paradigm, but makes use of...
One of the main challenges in the modeling of business problems is to provide the modeler and the user with meaningful visual tools. The business model is usually presented by different types of flow charts and diagrams. If the modeling process is simplified in how it is represented to the...
The complexities and costs associated with preserving the nation's bridge infrastructure demand innovative approaches to analysis of data and prediction of future bridge conditions. The policy analysis module of BMS systems developed is restricted to analytical methods. With the availability of modern infrastructure, realistic simulation models are being developed in...
This discussion suggests that it is time to reconsider the position and regard games as a valuable source for developing educationally rich material for OR/MS courses. Hopefully this initiates a constructive discussion on this topic that will eventually facilitate the identification and development of good OR/MS educational resources and stimulate...
Simulations study the interaction of random variables in a business process over time — how many customers might walk in the door at any moment, the return on an upcoming advertising campaign, the chance of your information system going down — and use the results to improve business policies. This...
Simulation model is usually developed as a one-time use analytical model by a system analyst rather than for a routine and interactive use by a shop floor engineer. A CAMS reduces this complication by encapsulating the 'complicated-logic' and automating the 'tedious data-acquisition' with a more user-friendly interface like a spreadsheet...
Designing semiconductor cluster tool systems is a complicated task due to the nature of automatic operations and various configurations of modules and task response priorities of robots. System designers have to synchronize the wafer processing time of each module with robot operation times in order to obtain maximum throughput from...
This paper describes a heterogeneous simulation environment for understanding how equipment and process changes affect the performance of a wafer fabrication facility. This integrated tool incorporates response surface models that describe process behavior, operational and optimization models of equipment behavior, and a discrete-event simulation model of factory operations. Thus, the...
Optimizing a semiconductor wafer fab requires balancing technology and productivity. Recent work on productivity modeling will be described and focus on discrete event simulation models of unitary tool, modules, and whole fab. In addition, some related cost-modeling aspects will be presented. The presentation provides a case study performed to analyze...
Cooperation aims to better detect contaminations in dairy and otherfood products in China and other Asian countries Shanghai, September 25, 2008 --- QIAGEN (NASDAQ: QGEN, FrankfurtPrime Standard: QIA) and the Chinese Academy of Sciences CASannounced a collaboration to develop new molecular testing solutionsto improve the safety of food products. ...
Articles 2008-09-25
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