man 2 test Flashcards

1
Q

3 main characterizations of the supply chain process

A

processing
assembly
distribution

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2
Q

principles of manufacturing systems

A
  • little’s law
  • matter is conserved
  • more components = less reliability
  • exponential growth in complexity - N^M possible states
  • system components appear to behave randomly
  • limits of human rationale
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3
Q

USA Principle

A

Understand existing processes
Simplify the process
Automate the process

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4
Q

Prescriptive vs Descriptive Models

A

Prescriptive - model determines how to set decision variables to optimize system performance
Descriptive - given a set of values for the decision variables, model estimates systems performance - rely on these for detailed decision making

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5
Q

heuristic procedures - definition and evaluation of

A
  • rational method that attempts to find a good solution to a model
  • evaluation: Quality of solution (“distance” from optimal and bounds), and effort expended generating solution
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6
Q

Computational Time: empirical vs. theoretical

A
  • empirical: run heuristic on a sample of “representative” problems
  • theoretical: worst-case running time based on # of computations required, classification of problem in terms of # computations (P polynomial vs NP) - you can solve vs you cant solve
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7
Q

Queuing

A

analysis of system behavior based on long-run avg performance

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8
Q

Simulation

A
  • experimental model that mimics events that occur in real system
  • allows experimentation by running model with different operating parameters or control logic: sensitivity analysis, robustness
  • requires verification and validation of model
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9
Q

verification and validation

A

verification - model does what you want it to do - implemented correctly
validation - model correctly represents real system

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10
Q

Modeling Loss

A
  • don’t necessarily want to minimize these losses - simply want to build the simplest model that answers your question
  • Losses:
  • perception and measurement
  • model simplification
  • solution approximation
  • implementation
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11
Q

Tc for single unit

A

Tc = Tm + Ts

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12
Q

Tc for storage cell

A

Tc = max(Tm,Ts) + Tr

if Ts > Tm, you have forced idle time

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13
Q

Fundamental imbalance law

A

you cant buffer against fundamental imbalance (b/c speed is always dictated by max(Ts,Tm)), but you can buffer against variability (adding a machine helps variability of setup)

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14
Q

Tm for machine clusters

A

Tm = NTr + (n-1)Ts

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15
Q

how many machines 1 person can handle in a cluster

A

n = (Tm + Ts) / (Tr + Ts)

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16
Q

Capacity

A

= (n * AT) / Tm

= 1 / (Tc1 + Tc1 + …)

17
Q

Suppose you want to find minimum W - how?

A

M/G/1
set Var(service time) = 0
Solve for L
Solve for W

18
Q

Sequencing vs Scheduling

A

Sequencing - permutation of the job set (order)

scheduling - assigning start/end/preemption times to individual jobs on each machine

19
Q

Regular vs. Non-regular measures of performance

A

-regular: non-decreasing in job completion times (if any job is made to finish later, the measure will stay the same or increase) - flowtime, makespan, tardiness, etc
non-regular - lateness and earliness penalties (the larger the deviation, the larger the penalty)

20
Q

Non-Delay Schedules

A

no machine is kept idle when there is an operation available for processing

21
Q

active schedules

A

no operation can be completed earlier by altering processing sequences on machines and not delaying any other operation - Never make a job in queue wait when it can be completely processed before the next job is scheduled to start

22
Q

semi-active schedules

A

No operation can be completed earlier without altering the processing sequence on any of the machines

23
Q

single machine scheduling: SPT vs EDD

A
  • SPT minimizes mean flow timed

- EDD minimizes max lateness

24
Q

makespan and mean flow time in single machine scheduling

A

Makespan is independent of sequence

mean flow time is dependent on sequence

25
Q

Single Pass Construction Heuristic

A

Minimize Mean flow time with respect to Max Lateness = 0

26
Q

Single Machine Scheduling with non-zero ready times

A

Makespan DOES depend on sequence b/c ri is not equal to zero

27
Q

Single Machine Scheduling: Setup Times

A
  • sequence - independent setup times: doesn’t matter what you did before - makespan is independent of sequence - just add setup times to process times
  • sequence-dependent setup times: makespan is no longer independent of sequence - solve using TSP
28
Q

TSP formulation

A
Min sum sum (Cij) * (Xij)
s.t.
sum Xij = 1 ("enter" each city once)
sum Xij = 1 ("exit" each city once)
no subtours
Xij = 0,1
29
Q

closest insertion algorithm

A
  • maintains a partial sequence throughout entire procedure

- is a TSP algorithm