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ANJUMAN-I-ISLAM’SALLANA INSTITUTE OF MANAGEMENT

STUDIES AND RESEARCH

SUBJECT:-MANAGEMENT INFORMATION SYSTEMPROFESSOR:- S.DESAIPROJECT ON:-GOODYEAR, JEA,OSUMC AND

MONSANTOPROJECT MADE BY:-PATEL SNEHAL 40PATHAN SUHEL 41

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Goodyear case study

Goodyear’s IT department developed software to design and test tires virtually.

Using a mathematical model, the software simulates tire behaviour in different driving conditions so that the designer can see how the tire gets pushed, pulled, and stretched as it rolls down a road, hits bumps, turns corners, screeches to a halt, and grips the road in wet, dry, and icy conditions. Goodyear wanted to shorten that time to get its products to market more quickly. Three research and development employees advanced the idea of testing prototypes using computer simulations, which could do the job faster.

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Goodyear case study

Goodyear attributes its sales growth from $15 billion in 2003 to $20 billion in 2005 to new products introduced as a result of this change.

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JEA CASE STUDY

Public utility JEA uses neural network technology to create an artificial intelligence system it has recently implemented. The system automatically determines the optimal combinations of oil and natural gas the utility’s boilers need to produce electricity cost-effectively, given fuel prices and the amount of electricity required.

A small change in the way electricity is produced could add millions of dollars to the bottom line.

Optimization software from NeuCo determines the right combinations of oil and gas to produce electricity at low cost while minimizing emissions

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JEA CASE STUDY

The system reduced the quantity of natural gas that is used to control N2O emissions by 15 percent, an estimated annual savings of $4.8 million. With natural gas prices at $11 per BTU, JEA expects to save $13 million on fuel in 2006. What’s more, JEA has discovered it can use the new technology applications for its water business.

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OSUMC CASE STUDY

The Ohio State University Medical Centre (OSUMC) replaced its overhead rail transport system with 46 self guided robotic vehicles to move linens, meals, trash, and medical supplies throughout the 1,000-bed hospital.

The robots, made by FMC Technologies, are guided by a wireless infrared network from Cisco Systems.

Hospital staff use a touch-screen computer connected to a server to call a robot when, for example a linen cart needs to go to the laundry room.

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OSUMC CASE STUDY

The $18 million system is expected to save the hospital approximately $1 million a year over the next 25 years.

“If we can take mundane jobs like taking out the trash off of our employees and give them more time to do the things they came into the health-care profession to do, then that’s an added benefit of the system.”

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Monsanto Case Study

Monsanto’s IT department created software to identify genes that indicate a plant’s resistance to drought, herbicides, and pests; those genetic traits are used to predict which plants breeders should reproduce to yield the healthiest, most bountiful crops.

Monsanto believes it can sell more corn, soybean, and cotton seeds if farmers know its seeds will produce heartier crops and require fewer sprays of insecticide and herbicide, thus reducing costs.

Monsanto’s scientists use the software to engineer seeds that effectively resist drought and pests and to produce plants that are healthier for humans and animals to eat. They do it by implanting those seeds with the genetic material that makes a plant resist insects or produce more protein.

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Learning for the above cases In Goodyear case they have reduced the time for

testing

In JEA case they have come up with the software , which says that how we can reduce the cost of producing electricity

In OSUMC case they have made the software which will reduce the human efforts and energy , which can be used for other fruitful purposes.

In the Monsanto case they have come up with an software which will increase the yield of the crop

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