man 2 test Flashcards
3 main characterizations of the supply chain process
processing
assembly
distribution
principles of manufacturing systems
- 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
USA Principle
Understand existing processes
Simplify the process
Automate the process
Prescriptive vs Descriptive Models
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
heuristic procedures - definition and evaluation of
- 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
Computational Time: empirical vs. theoretical
- 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
Queuing
analysis of system behavior based on long-run avg performance
Simulation
- 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
verification and validation
verification - model does what you want it to do - implemented correctly
validation - model correctly represents real system
Modeling Loss
- 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
Tc for single unit
Tc = Tm + Ts
Tc for storage cell
Tc = max(Tm,Ts) + Tr
if Ts > Tm, you have forced idle time
Fundamental imbalance law
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)
Tm for machine clusters
Tm = NTr + (n-1)Ts
how many machines 1 person can handle in a cluster
n = (Tm + Ts) / (Tr + Ts)