Improving Data Integrity in Production Control

Improving scheduling accuracy by reducing data inconsistencies in production control

The quality of production feedback data gathered on the shop-floor is regularly reduced by various data inconsistencies and errors which impair detailed scheduling accuracy. In this paper, an approach for reducing these inconsistencies in production feedback data by deriving errorspecific integrity rules is presented and validated through a simulation study.

Improving Interface Integrity 3 Interface Control 4 Software Failures 5 Data

Improving Data Integrity with Randomness – A Compressive Sensing Approach

Data loss in wireless sensor systems is inevitable, either due to exogenous (such as transmission medium impediments) or endogenous (such as faulty sensors) causes. While there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensing (CS) enable a new perspective. Since many natural signals are compressible, it is possible to employ CS, not only ...

Improving pharmacy revenue integrity.

Billings Clinic learned the following important lessons in implementing a pharmacy revenue integrity initiative: Integrate pharmacy data as fully as possible. Audit and review pharmacy data regularly to validate the data and identify key areas where education can be provided to support accuracy and compliance. Use technology to bridge gaps between pharmacy data, such as gaps in billable units a...

Efficient data aggregation with in-network integrity control for WSN

Energy is a scarce resource in Wireless Sensor Networks (WSN). Some studies show that more than 70% of energy is consumed in data transmission in WSN. Since most of the time, the sensed information is redundant due to geographically collocated sensors, most of this energy can be saved through data aggregation. Furthermore, data aggregation improves bandwidth usage and reduces collisions due to ...