Uncertain flexible flow shop scheduling problem subject to breakdowns.

*(English)*Zbl 1366.90102Summary: Flexible flow shop scheduling problems become more complex when uncertain factors are taken into consideration. Most literature are under the assumption that machines are continuous available. But, a machine can be unavailable for many reasons, such as breakdown and planned preventive maintenance. Once a machine breaks down, then the original schedule can not be executed and we must make the corresponding adjustment according to the actual situation. This paper deals with a flexible flow shop scheduling problem with uncertain processing and repair time subject to breakdowns. Machines are non-continuously available, i.e., they break down at arbitrary time instance not knownin advance. The problem with breakdowns is modeled as a series of problems without breakdowns. To solve the problem, approaches including genetic algorithm and particle swarm optimization are used in this paper. A numerical example shows the effectiveness of the proposed approach.

##### MSC:

90B35 | Deterministic scheduling theory in operations research |

##### Keywords:

flexible flow shop scheduling; uncertain variable; machine breakdown; genetic algorithm; particle swarm optimization
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\textit{J. Shen} and \textit{Y. Zhu}, J. Intell. Fuzzy Syst. 32, No. 1, 207--214 (2017; Zbl 1366.90102)

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