Jun 4 2014
Business Intelligence and Jidoka | Toyota’s Simon Dorrat | PEX
See on Scoop.it – lean manufacturing
For the IT-phobic, a Data Warehouse is a database that makes historical data from multiple sources accessible for analytics. It is commonly used to provide management with Business Intelligence (BI). The process of periodically feeding a data warehouse is called Extract, Transfer and Load (ETL).
Of course, analysis is only worth doing on data that is complete and accurate, hence the need for tools to ensure Data Quality. The different sources usually have different nomenclatures for products, processes, or facilities, and you need your Master Data to integrate them in a single, consistent model. Finally, “OLAP” stands for Online Analytical Processing.
The first sentence in the article describes Toyota as “creating the precursor to Lean Manufacturing” and nearly made me stop reading further. It would have been a mistake.
See on www.processexcellencenetwork.com
Sep 2 2014
Are Part Numbers Too Smart for Their Own Good? | ENGINEERING.com
[…] technology experts are warning that the use of such descriptive part numbers is not necessarily so “smart,” and that they could drag down productivity in today’s fast-changing manufacturing environments. A smarter tactic, they assert, is to employ auto-generated “insignificant” or “non-intelligent” part numbers and let information about the part reside in a database. […]
Source: www.engineering.com
See on Scoop.it – lean manufacturing
Share this:
Like this:
By Michel Baudin • Press clippings • 0 • Tags: Master Data, nomenclature, smart part numbers, Technical Data Management