Manufacturing System as a Hybrid System
(And the Use of Forward Algorithm)
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(Developped by
Shirantha Welikala
,
using the work
Cho, Cassandras & Pepyne, 2000
)
Arrival Times \(\{a_i\}_{i=0}^N\):
\(N\)=
Generation Method:
Deterministic
Uniformly Random
Poisson
Custom
Arrival Times
Update
Required Quality Levels for Arrivals \(\{q_i\}_{i=0}^N\):
Generation Method:
Deterministic
Uniformly Random
Custom
Quality Levels
Update
Queueing System Specifications:
Departure Time Panalty (\(\alpha\)):
Control Input Panalty (\(\beta\)):
Waiting Time Panalty (\(\gamma\)):
Solving for Control Inputs \(\{u_i\}_{i=0}^N\):
Solution Generation Method:
Optimal Control (Forward Alg.)
Deterministic
Uniformly Random
Custom
Update
Achieved Objective Function Value:
10
30
Visualizations: Simulating the Hybrid (Manufacturing) System:
Add / Remove / Select a Simulation:
Objective Function Value:
Time Resolution (\(\Delta t\)):
Run / Pause / Reset / Refresh Sim.:
