ToolsGroup

SEPTEMBER 20, 2022

Using this data, advanced predictive models can estimate when failures are likely to occur and recommend appropriate timelines to perform corrective measures, allowing manufacturers to organize their production schedules based on predicted equipment availability metrics. Increase overall equipment effectiveness (OEE). Computer Vision.

Manufacturing Procurement 156

Manufacturing Procurement Supply Chain Design Software Optimal Sourcing Supply Chain Planning Software 156

Enterra Insights

DECEMBER 10, 2018

”[4] The World Economic Forum has declared data a resource on the level of gold or oil. Wilfried Lemahieu, Seppe vanden Broucke, and Bart Baesens, academics from KU Leuven (Belgium), note, “Data quality is often defined as ‘fitness for use,’ which implies the relative nature of the concept.”[5]

Quality 100

Quality Data Sourcing Strategies Big Data 100

Unleashed

NOVEMBER 20, 2023

” Tackling bottlenecks: Hacks, strategies, and advice To fix your manufacturing supply chain, you need the right systems, strategies, and resources in place. Accurate data is essential for making the right decisions around purchasing and resource planning. You have to be able to react to that.”

Manufacturing Procurement 52

Manufacturing Procurement Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain 52

Supply Chain Shaman

DECEMBER 17, 2018

Shell operates as a single-instance of SAP Enterprise Resource Planning (ERP). Completed in 2012, the ERP project forced the company to standardize organizational design, roles, and metrics. To gain organizational support to drive change, Nick ran two more simulations: one in Hong Kong and a grease plant in Belgium.

Demand Planning Software 245

Demand Planning Software Supply and Demand Supply Chain Planning Software Supply Chain Design Software 245