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A note: maximizing the weighted number of Just-in-Time jobs for a given job sequence
Enrique Gerstl
,
Gur Mosheiov
*
*
Corresponding author for this work
Specialization in Operations Research
BA Business Department
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Keyphrases
Due Date
100%
Job Sequencing
100%
Just-in-time Job
100%
Polynomial Time
50%
Solution Algorithm
50%
Pseudo-polynomial
50%
Single Machine Scheduling Problem
50%
Polynomially Solvable
50%
Dynamic Programming Algorithm
50%
Time Dynamics
50%
True Density
50%
Polynomial Solutions
50%
Two-machine Flow Shop
50%
Large Instances
50%
Computer Science
Just-in-Time
100%
Polynomial Time
50%
Dynamic Programming Algorithm
50%
single machine scheduling problem
50%
Polynomial Solution
50%
Mathematics
Running Time
100%
Polynomial Time
50%
Single Machine
50%
Polynomial Solution
50%