The following are assumptions that assumed in this project related to JSSP:
- A set multiple operation jobs are available for the processing at start time zero. i.e., each job requires m operations and each operation requires a different machine.
The processing time must be non-negative. - Once an operation initiates, processing of an operation must be uninterrupted until its completion in particular machine.
- Each machine can process only one operation at a time
- Mean Flow Time and setup time of job is negligible or zero.
- The operations are interrelated by two kinds of constraints.
- Each operation of Ji to be scheduled after all predecessor operations is completed.
- The operations of Ji have to be processed in a given order.
- Operation of Ji can only be scheduled if the machine it requires is idle.
The problem consists in finding a schedule of the operations on the machines, taking into account the precedence constraints, which minimizes the make-span (Cmax), that is, the completion time of the last operation completed in the schedule (Eim).
Related Posts:
- JOB SHOP SCHEDULING
- Description of Job Shop Scheduling
- Johnson’s Rule
- Algorithm of Johnson’s Rule
- Illustration for Johnson’s rule
- Modified Johnson’s Rule for n x m JSSP
- Limitations of Johnson’s Rule
- What makes scheduling problems hard?
© 2006 Kumaravel & Project Team
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