7. QUANTITATIVE PROCESS ANALYSIS Flashcards

1
Q

flow analysis

A
  • average time it takes between the moment the entire process starts and the moment it completes
    -waiting time + processing time
    = Theoretical cycle time (TCT)
    (processing time; average time a case would take it there was no waiting time at all)

-CT efficiency = Ratio of overall processing time, referred to as theoretical cycle time (TCT), relative to the overall CT

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2
Q

critical path method

A
  • critical path → sequence of process that determines the theoretical cycle time of the process
    -identifies the critical path based on the notions of:
    ● early start/finish → forward pass
    ● late start/finish → backward pass
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3
Q

Little’s law

A
  • total cycle time of a process is related to the arrival rate 𝜆 and the work-in-process WIP

arrival rate= avg nº of new process instances

WIP= avg nº of active process instances

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4
Q

characteristics of little’s law

A

Little’s law holds for any stable process (the amount of work doesn’t grow beyond control)

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5
Q

capacity and bottlenecks

A

Theoretical capacity= max nº of instances that can be completed per time unit by a resource pool (p)

-characteristcs:
● theoretical capacity of a resource pool implies that this pool is working at full capacity
● resource pool with the minimum theoretical capacity is called the bottleneck of a process

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6
Q

limitations of flow analysis

A
  • Presented equations for calculating cycle time (CT) work only for block-structured process models

-Need to estimate the average CT of each task in the process model:

2 approaches:
1. to address this obstacle is based on interviews with, and/or observations of, process participants

  1. to collect logs from the IT systems used in the process
  • Critical assumption that level of resource contention are stable over the long run
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7
Q

queueing theory

A

Collection of mathematical techniques to analyze systems with resource
contention, which inevitably leads to queues

● expected length (Lq)
● expected waiting time (Wq)

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8
Q

queuing system

A

consists of:
● 1 or multiple queues
● service that is provided by one or multiple servers
● elements inside a queue = jobs or customers

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9
Q

system types

A

-Single-line → M/M/1
-Multi-line → M/M/c (c = number of servers)

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10
Q

limitations of queuing analysis

A
  • Assumption that inter-arrival times follow a negative exponential distribution
    –> shorter inter-arrival times more likely

-Presented queuing analysis techniques can only deal with one process task at a time
–> queuing network more suitable

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11
Q

process simulation

A

use the process simulator for:
- generating a large number of hypothetical instances of a process
- executing these instances step-by-step
- recording each step in this execution

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12
Q

output of a simulator includes

A

-logs of the simulation
-statistics of cycle tymes, avg times, avg resource utilization

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13
Q

input parameters

A

-processing time of each task
-resource pool responsible for performing a given task
-branching probability for every gateway
-starting date and time of simulation

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14
Q

common probability distributions

A
  • fixed values (rare)
  • exponential distribution
  • normal distribution
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