Robust multi-equipment scheduling for U-shaped container terminals concerning double-cycling mode and uncertain operation time with cascade effects

Cai, Lei; Li, Wenfeng; Zhou, Bo; Li, Huanhuan; Yang, Zaili

doi:10.1016/j.trc.2023.104447

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2024

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Cited by 5 publications

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“…Although several methods exist 21 to schedule and optimise the job shop scheduling, the fuzzy logic plays a main role in handling the uncertainties in most cases. Most of these methods usually have a single objective.…”

Section: Discussionmentioning

confidence: 99%

Development of Multi-Objective Production Scheduling Fuzzy Algorithm in Manufacturing

Piros

2024

Preprint

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Several methods exist to schedule specific workpieces in a manufacturing system. Large multinational companies usually apply worldwide automated scheduling systems to provide optimal manufacturing parameters and fulfil the requirements of the lean method. In contrast, an average small-medium sized enterprise (SME) has limited financial and technical resources to complete this task. This paper proposes an ultimately simplified fuzzy inference system, the Compact Mamdani Fuzzy Inference System (CMFIS), to help the scheduling tasks in SMEs. The CMFIS does not require special fuzzy logic knowledge and communicates with the user via Microsoft Excel worksheets. The paper introduces the CMFIS itself and its job shop application as well.

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Section: Discussionmentioning

confidence: 99%