Effective data driven production decision making systems
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Transcript of Effective data driven production decision making systems
Management Needs to Understand the System
1. Convince employees that data is important. Show them you are really using it!! This may be the only best way to minimizing gaming of data.
2. Visualize the system with graphical representations of process data.
3. Understand the system with statistical knowledge.
4. Have the ability to instantly compare and study the necessary data.
Analytics and Rationalized Data Sources
Manager View Floor
Relational Database
Statistical Visualization and Analysis Software
Statistical Visualization and Analysis Software
Common SPC Analytics Mistake
Assumption: What’s important is the operator seeing the real time process. Mistake: Choosing software based on whether or not the operator will be able to see the real time process. NEWS FLASH: ALL SPC software does that!
A Common Start-Up Mistake
Mistake: Setting up data sources that focus primarily on the needs of the floor user. Problem: The Manager Summary Reporting tools may be “too inconvenient” to use, and therefore will be underutilized. Quite often it is convenient to set up systems to look at a specific process. The big ROI down the road might be from comparing processes.
ERP
Barriers to Managerial Understanding
Manager View
Statistical Visualization and Analysis Software
Statistical Visualization and Analysis Software
Excel
CSV
Access
Rationalize What You Have
Manager View
Statistical Visualization and Analysis Software
Statistical Visualization and Analysis Software
Excel
CSV
Access ERP
Centralized Database
Manager View
Statistical Visualization and Analysis Software
Statistical Visualization and Analysis Software
Centralized Database
Advantage: Data is relatively easy to query. Data that is easy to query, gets queried. Disadvantage: All data must go through the Central Database, so, either all data must be written there, or special utilities must be developed to route data to the Central Database. Disadvantage: You may be limited to the reporting technology that was developed for the Central Database, thereby reducing reporting options.
Decentralized Data Source
Advantage: Data is also relatively easy to query. Data that is easy to query, gets queried.
Advantage: Data or reference information remains in already convenient locations. Disadvantage: Some work needs to be done to relate the data sources to minimize barriers to reporting. *Advantage: Easier to take advantage of reporting advances created by 3rd party vendors.