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  2. Morisita's overlap index - Wikipedia

    en.wikipedia.org/wiki/Morisita's_overlap_index

    Morisita's overlap index, named after Masaaki Morisita, is a statistical measure of dispersion of individuals in a population. It is used to compare overlap among samples (Morisita 1959).

  3. Linear scheduling method - Wikipedia

    en.wikipedia.org/wiki/Linear_scheduling_method

    These projects are called repetitive or linear projects. The main advantages of LSM over critical path method (CPM) is its underlying idea of keeping resources continuously at work. In other words, it schedules activities in such a way that: resource utilization is maximized;

  4. Value-driven maintenance - Wikipedia

    en.wikipedia.org/wiki/Value-driven_maintenance

    The VDM formula is derived from the net present value formula and can be used to calculate the value of maintenance. The VDM formula is: PV maintenance = Σ {F SHE,t x (CF AU,t + CF CC,t + CF RA,t + CF SHE,t) / (1+r) t} where: PV maintenance = present value potential of maintenance F SHE,t = SHE factor in year t

  5. Overall equipment effectiveness - Wikipedia

    en.wikipedia.org/wiki/Overall_equipment...

    Overall equipment effectiveness [1] (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run.

  6. Kingman's formula - Wikipedia

    en.wikipedia.org/wiki/Kingman's_formula

    Kingman's approximation states: () (+)where () is the mean waiting time, τ is the mean service time (i.e. μ = 1/τ is the service rate), λ is the mean arrival rate, ρ = λ/μ is the utilization, c a is the coefficient of variation for arrivals (that is the standard deviation of arrival times divided by the mean arrival time) and c s is the coefficient of variation for service times.

  7. Excel is a ridiculously powerful data analysis resource. This ...

    www.aol.com/excel-ridiculously-powerful-data...

    TLDR: The Data Analysis with Excel and Power BI Bundle can turn you into a data expert in a matter of hours. If you’re interested in learning about data analysis, the most powerful tool you have ...