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  2. Turnaround time - Wikipedia

    en.wikipedia.org/wiki/Turnaround_time

    Lead Time vs Turnaround Time: Lead Time is the amount of time, defined by the supplier or service provider, that is required to meet a customer request or demand. [5] Lead-time is basically the time gap between the order placed by the customer and the time when the customer get the final delivery, on the other hand the Turnaround Time is in order to get a job done and deliver the output, once ...

  3. Lindley equation - Wikipedia

    en.wikipedia.org/wiki/Lindley_equation

    Lindley's integral equation is a relationship satisfied by the stationary waiting time distribution F(x) in a G/G/1 queue. = ()Where K(x) is the distribution function of the random variable denoting the difference between the (k - 1)th customer's arrival and the inter-arrival time between (k - 1)th and kth customers.

  4. 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.

  5. Mean sojourn time - Wikipedia

    en.wikipedia.org/wiki/Mean_sojourn_time

    The mean sojourn time (or sometimes mean waiting time) for an object in a dynamical system is the amount of time an object is expected to spend in a system before leaving the system permanently. This concept is widely used in various fields, including physics, chemistry, and stochastic processes, to study the behavior of systems over time.

  6. Little's law - Wikipedia

    en.wikipedia.org/wiki/Little's_law

    In mathematical queueing theory, Little's law (also result, theorem, lemma, or formula [1] [2]) is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied by the average time W that a customer spends in the system.

  7. G/G/1 queue - Wikipedia

    en.wikipedia.org/wiki/G/G/1_queue

    Kingman's formula gives an approximation for the mean waiting time in a G/G/1 queue. [6] Lindley's integral equation is a relationship satisfied by the stationary waiting time distribution which can be solved using the Wiener–Hopf method. [7]

  8. Optimal job scheduling - Wikipedia

    en.wikipedia.org/wiki/Optimal_job_scheduling

    The time lag between two jobs is the amount of time that must be waited after the first job is complete before the second job to begin. Formally, if job i precedes job j, then C i + ℓ i j ≤ S j {\displaystyle C_{i}+\ell _{ij}\leq S_{j}} must be true.

  9. Lead time - Wikipedia

    en.wikipedia.org/wiki/Lead_time

    Processing Lead Time: the time required to procure or manufacture an item. Postprocessing Lead Time: the time to make a purchased item available in inventory from the time you receive it (including quarantine, inspection, etc.) Example. Company A needs a part that can be manufactured in two days once Company B has received an order.