Smartlog: Transparancy and Accountibility

Posted on May 19, 2016

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The phrase “Trust butVerify,” coined by the late US president Ronald Reagan, may be a remedy to social behaviors described in recent scientific research done by Dan Ariely, professor of psychology and behavioral economics at Duke University. In his research Ariely concludes that when minor infractions go uncorrected, they result in a large cumulative cost to the economy. His research shows that 40% of the general population commits such infractions routinely.

Traditionally when Irradiator downtime occurs, an operator writes the date and time into a paper logbook and later, when the machine is started, the date and time is entered again to calculate the total duration of downtime. When management wishes to see the total downtime over a specific period, a supervisor adds up all the time that machine was down and designates every occurrence of downtime as either planned or unplanned. This method is often inaccurate. Typically, actual downtime is underreported. This may be attributed to various reasons, including a delay in attending to unplanned downtime conditions having a negative impact on an employee’s performance evaluation or simply trying to be considered of a coworker’s particular situation. 

konnTRACK Process Control software includes SmartLOG, an electronic logbook that automatically generates machine downtime logs. Before the machine is re-started, the operator is required to allocate the downtime segment to a range of planned or unplanned downtime categories. This system eliminates the problem of under-reporting downtime and makes the employee more accountable reacting to unplanned downtime conditions. 


Figure 1: Electronic Logbook

In addition, the system generates downtime reports for any time period almost instantaneously. This eliminates the need for any labor dedicated to generating the downtime reports.


Figure 2: Uptime/Downtime overview

Operations managers may be interested in how downtime is broken down by categories. This helps determine if any operational aspects need improvement:


Figure 3: Downtime broken down by categories

Lastly, maintenance staff can view downtime by the actual event that caused it. This is useful when planning maintenance activities, focusing first on the 20% of breakdowns which are often responsible for 80% of downtime.


Figure 4: Events that caused downtime

Inevitably, transparent downtime tracking improves individual accountability and results in continually improving irradiator uptime.