2023
DOI: 10.1007/s12046-023-02133-z
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Digital twin-oriented collaborative optimization of fuzzy flexible job shop scheduling under multiple uncertainties

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Cited by 4 publications
(3 citation statements)
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“…To achieve this, we initiate the process by conducting parameter calibration. Drawing from experience, preliminary experiments, and literature analysis [3,6,8,23], we designate three reference values for each parameter, as illustrated in Table 2. Conducting a full experiment would necessitate a daunting number of trials, given the exponential nature of the parameter combinations.…”
Section: Parameter Calibrationmentioning
confidence: 99%
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“…To achieve this, we initiate the process by conducting parameter calibration. Drawing from experience, preliminary experiments, and literature analysis [3,6,8,23], we designate three reference values for each parameter, as illustrated in Table 2. Conducting a full experiment would necessitate a daunting number of trials, given the exponential nature of the parameter combinations.…”
Section: Parameter Calibrationmentioning
confidence: 99%
“…In practical settings, industrial operations often entail uncertainties such as intelligent scheduling of power systems [5,6], equipment assembly [7], and job shop scheduling [8]. When extending these uncertainty factors to the equipment maintenance disassembly problem we propose, the complexities arise from intricate equipment structures, various maintenance components, differing maintenance conditions, and equipment wear, all contributing to the dynamic nature of the disassembly task.…”
Section: Introductionmentioning
confidence: 99%
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