Connected factory: real time data analysis for manufacturing efficiency

Pratt and Whitney is expecting an increase in demand for new engines and for parts supportive of aftermarket service, maintenance, and repair. To avoid expensive capital investments in additional production capacity, Pratt is taking several approaches to better utilize existing capacity. In a business where historically margins have been high, demand was flat, and in some years decreasing, and staffing had relatively low turnover, conditions were not forcing leaders to focus on identifying ways to eliminate waste or adapt cutting edge manufacturing analytics. With the introduction of new and innovative products, Pratt & Whitney is quickly approaching conditions where demand will outpace capacity. Additionally, demographics of the employee base has started to hit a point where many key and tenured employees have started to and will continue to retire leaving a knowledge gap behind.

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Butala, Caitlin Mary.

Advisor dc:contributor.advisor

• Brian Anthony and Steve Spear.

• Sloan School of Management.
• Mechanical Engineering.
• Leaders for Global Operations Program.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/126945

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/126945