Sequencing and scheduling

5 important questions on Sequencing and scheduling

Describe why scheduling a optimization problem is.

- Given: machine(s), operations/ jobs
- Decisions: for every operation/ job:
• On what machine,
• Start times of the operations (--> end times, order)
- Objective: several choices, depending on the production strategy
- Constraints:
• Capacity constraints of the machines
• Operations cannot overlap
• (operations cannot be interrupted)

Describe what KPI's the SPT (priority rule: shortest processing time first) for basic single - machine scheduling problem minimizes.

- Average flow time F
- Average number of jobs in system J
- Average waiting time W
- Average lateness L
- Max. waiting time Wmax

Explain the effect of priority rule earliest due date (EDD) on the basic single-machine scheduling problem.

EDD priority rule minimizes:
- Maximum lateness Lmax and
- Maximum tardiness Tmax

If the objective is to minimize the number of tardy jobs:
- If EDD leads to a schedule with no tardy jobs, the schedule is an optimal schedule, otherwise you can use (Moore-) Hodgson's algorithm to make an optimal schedule.
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Explain how to use Johnson's rule.

- Determine the sets
S1: All jobs for which the processing time on m1 is smaller than the processing time on m2.
S2: all other jobs.
- Put the jobs of S1 in the order in which the processing times on machine 1 are non-decreasing.
- Sequence the jobs of S2 in the order in which processing times on machine 2 are non-increasing.
- An optimal order is the ordered set S1, followed by the ordered set S2.

Why is solving an (M)ILP so difficult?

- Try to simplex method (LP), maybe you are Lucky and you find an integer solution.
- Exact methods (may take long): cutting planes, branch and bound

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