Sigma

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SIGMA: A new era in the business world

SIGMA is based on the simple and intuitive Event Graph approach to simulation modeling. The SIGMA project evolved from doing simple event graphs on personal computers into implementing a powerful and practical method for simulation modeling. This Simulation Graphical Modeling and Analysis system is an integrated approach to building, testing, animating, and experimenting with discrete event simulations. Thousands of firms in the transportation, manufacturing, and even the gambling industry have been benefited from using this simulation software to improve their logic and production systems.

The steady increase in airport traffic has lead air transport managers to think a new design and management of Airports for the future. It appears to them that all aspects involved in the airport should be redesigned with the newly developed technology, especially the traffic control in the security check point. The problem with this traffic control is the long wait time in the check in point that is caused by the complex security check(luggage, body, etc). Simulation techniques can be helpful in improving this system. A group of engineering students from UC Berkeley use the SIGMA to model the whole traffic flow between the security check point and the check in point. Then, they found that, besides the complex security check, the distribution of passengers' check in time is another factor that causes the long waiting line in the check in counter. To make improvement to this system, these engineers' craft out a new check in procedure which redistribute or rearrange the check in time for each passenger. For example, passengers have flight during the busy time may be suggested to schedule a specific check in time the night before departure. By doing this, the passenger is placed in a virtual queue in the check-in line and his wait time for check in should be no more than five minutes if he commits his appointment. This idea gains its support from the SIGMA simulation report which shows the average wait time in the check-in point declines significantly.

Capitalizing the manufacturing machines has been known for the thumb of rule for success in the semiconductor industry. Unlike other manufacturing plants, the fab usually operates 24/7 to maximize its production volume. In addition to this, any minor mistake or mishandle in the production process may lead to loss of millions of dollar. In order to guarantee the production plan runs smoothly, the use of SIGMA may be helpful.

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