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Leveraging tacit knowledge for shipyard facility layout selection using fuzzy set theory

机译:利用模糊集理论利用造船厂设施布局选择的默契知识

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A shipyard's layout contributes significantly to manufacturing performance. The practitioners based on experience can provide feasible alternative layouts by considering qualitative factors. However, no study in the shipyard layout context has leveraged their valuable subjective knowledge.This study addresses the above research gap. It proposes a two-stage approach using the Fuzzy similarity index (FSI) and the Fuzzy goal programming model (FGPM). The first stage elicits alternative layouts and relationship (REL) charts from practitioners. REL's fuzzy proximity ratings are assigned by subjective assessment of shipbuilding process flow, inter-shop material flow, distance, cost per unit distance, sharing of material handling equipment. Thereafter, the FSI of each alternative layout with respect to the ideal layout is evaluated. However, implementing the alternative layout with the highest FSI may not be feasible due to practical constraints. Therefore, in the second stage, FGPM is formulated incorporating practical constraints related to site factors, harmful gases emission, environmental, and safety to yield an optimal selection of layout. (C) 2020 Published by Elsevier Ltd.
机译:造船厂的布局对制造业的表现有重大贡献。基于经验的从业者可以通过考虑定性因素来提供可行的替代布局。然而,造船厂布局背景下没有研究已经利用了他们有价值的主观知识。本研究解决了上述研究差距。它提出了一种使用模糊相似性指数(FSI)和模糊目标编程模型(FGPM)的两级方法。第一阶段从从业者那里引发替代布局和关系(rel)图表。 REL的模糊近距离等级由造船过程流动的主观评估,店内物质流动,距离,每单位距离的成本,分享材料处理设备。此后,评估相对于理想布局的每个替代布局的FSI。然而,由于实际限制,实现具有最高FSI的替代布局可能是不可行的。因此,在第二阶段,FGPM被制定纳入与现场因素相关的实际限制,有害气体排放,环境和安全性,以产生最佳的布局选择。 (c)2020由elestvier有限公司发布

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