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The basic form of the problem of scheduling jobs with multiple (M) operations, over M machines, such that all of the first operations must be done on the first machine, all of the second operations on the second, etc., and a single job cannot be performed in parallel, is known as the flow-shop scheduling problem.
The situation, task, action, result (STAR) format is a technique [1] used by interviewers to gather all the relevant information about a specific capability that the job requires. [ citation needed ] Situation : The interviewer wants you to present a recent challenging situation in which you found yourself.
This means that the problem consists simply in producing a feasible scheduling, satisfying all given constraints. C j {\displaystyle C_{j}} : the completion time of job j {\displaystyle j} . C max {\displaystyle C_{\max }} is the maximum completion time; also known as the makespan .
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Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .
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The open-shop scheduling problem can be solved in polynomial time for instances that have only two workstations or only two jobs. It may also be solved in polynomial time when all nonzero processing times are equal: in this case the problem becomes equivalent to edge coloring a bipartite graph that has the jobs and workstations as its vertices, and that has an edge for every job-workstation ...
Have you ever wondered why an interviewer asks certain interview questions? Some of the questions seem so vague and random that it can be hard to figure out the logic behind the interview process.