Algorithms: Their complexity and efficiency - download pdf or read online

By Lydia I. Kronsjo

ISBN-10: 0471912018

ISBN-13: 9780471912019

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This can be used to benchmark existing processes if one shows superior performance. One aspect of the pod repair process we will consider is the difference, if any, between employing guard and active component workers manning the shops. Potential savings in time and money will be factored into the ECM support options analysis. The differences in bench times between ACC and ANG could be due to several factors. First, guard units tend to have more experienced pod maintainers than active bases. Thus, they could be able to diagnose and repair faults more easily than units with less experienced personnel.

The first recommendation for failure data is thus to track and display periodic data in chart form. Showing data over a period of time can reveal incremental changes that could otherwise go unnoticed. The time period used for this statistic should be chosen carefully. As already shown, some bases did not have many operating hours even over a year. Some bases may fly pods often enough to merit a smaller time period for data display, but the decision should be made on sample size in order to have statistically sound data displayed.

Having all of the operating data for each pod can help attribute pod failures to specific operations the pods perform. -29- Process Road Map Beddown Flight-Line Pod Removal Test Sets Employment USAF Transport Transport Queue DEMAND DEMAND SUPPLY ≤ SUPPLY Crew—Active, ANG Repair Inventory 30 Repair Process Queues Next, we discuss the queue time before repairs. This queue is composed of time AWM (before a pod can be diagnosed or serviced) and time AWP (after diagnosis while a pod awaits necessary repair parts).

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Algorithms: Their complexity and efficiency by Lydia I. Kronsjo


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