Increasing profitability and improving semiconductor manufacturing throughput using expert systems

Khera, D.; Cresswell, Michael W.; Linholm, L.W.; Ramanathan, G.; Benthall, Jonathan; Nagarajan, A.

doi:10.1109/17.293381

Cited by 3 publications

(2 citation statements)

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“…The amounts of data involved make the data analysis task extremely time-consuming and difficult. Several authors proposed procedures for using machinelearning techniques in semiconductor manufacturing [141][142][143][144][145][146][147]. Research results showed that machinelearning techniques can be powerful tools for continuous quality improvement in a large and complex process such as semiconductor manufacturing.…”

Section: Applications Of Machine-learning Techniques In Manufacturingmentioning

confidence: 99%

Machine-learning techniques and their applications in manufacturing

Pham

Afify

2005

Proceedings of the Institution of Mechanical Engineers, Part B:

135

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Machine learning is concerned with enabling computer programs automatically to improve their performance at some tasks through experience. Manufacturing is an area where the application of machine learning can be very fruitful. However, little has been published about the use of machine-learning techniques in the manufacturing domain. This paper evaluates several machine-learning techniques and examines applications in which they have been successfully deployed. Special attention is given to inductive learning, which is among the most mature of the machine-learning approaches currently available. Current trends and recent developments in machine-learning research are also discussed. The paper concludes with a summary of some of the key research issues in machine learning.

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Section: Applications Of Machine-learning Techniques In Manufacturingmentioning

confidence: 99%

Machine-learning techniques and their applications in manufacturing

Pham

Afify

2005

Proceedings of the Institution of Mechanical Engineers, Part B:

135

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“…Ž . Burggraaf, 1996 , and expert systems to provide estimates on quality of certain batches Khera et al, 1994 . This literature is vital to continued technological progress in these industries. As new products and processes push the state of the art, yields fall, and new cycles of yield improvement are needed.…”

Section: Prior Research On Yieldsmentioning

confidence: 99%

The economics of yield‐driven processes

Bohn

Terwiesch

1999

J of Ops Management

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The economic performance of many modern production processes is substantially influenced by process yields. Their first effect is on product cost -in some cases, low-yields can cause costs to double or worse. Yet measuring only costs can substantially underestimate the importance of yield improvement. We show that yields are especially important in periods of constrained capacity, such as new product ramp-up. Our analysis is illustrated with numerical examples taken from hard disk drive manufacturing. A three percentage point increase in yields can be worth about 6% of gross revenue and 17% of contribution. In fact, an eight percentage point improvement in process yields can outweigh a US$20/h increase in direct labor wages. Therefore, yields, in addition to or instead of labor costs, should be a focus of attention when making decisions such as new factory siting and type of automation. The paper also provides rules for when to rework, and shows that cost minimization logic can again give wrong answers. KeywordsProduction yields, cost of quality, product cost, rework, ramp-up, location decisions, international operations Abstract:The economic performance of many modern production processes is substantially influenced by process yields. Their first effect is on product cost. In some cases low yields can cause costs to double or worse. Yet measuring only costs can substantially underestimate the importance of yield improvement. We show that yields are especially important in periods of constrained capacity, such as new product ramp-up. Our analysis is illustrated with numerical examples taken from hard disk-drive manufacturing. A one percentage point increase in yields can be worth about 6 percent of gross revenue and 17 percent of contribution. In fact, an eight percentage point improvement in process yields can outweigh a $20 per hour increase in direct labor wages. Therefore yields, in addition to or instead of labor costs, should be a focus of attention when making decisions such as new factory siting and type of automation. The paper also provides rules for when to rework, and shows that cost minimization logic can again give wrong answers.

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