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This paper investigates the parallel open shop scheduling problem.
We are concerned with an open shop scheduling problem having sequence-dependent setup times.
An open shop scheduling problem with these considerations is close to the real production scheduling conditions.
Open shop scheduling problems (OSSP) are one of the most time-consuming works in scheduling problems.
In this paper, an open shop scheduling problem with sequence-dependent setup times was examined.
This study investigates the static and dynamic versions of the flexible open shop scheduling problem with the goal of minimizing makespan.
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In this article, we consider non-preemptive open shops scheduling problem (OSSP) where setup times are sequence-dependent (SDST) on each machine to minimize makespan.
This paper considers open-shop scheduling with no intermediate buffer to minimize total tardiness.
Experiments done on open-shop scheduling problems show that our approach competes well with the best highly specialized algorithms.
This paper studied the problem of open-shop scheduling, with no intermediate buffer to minimize total tardiness.
Open-shop scheduling (OSS) can be defined by a set of n jobs that need to be processed by a set of m machines.
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