Coupling Layout Optimization of Key Plant and Industrial Area

Wu, Yan; Xu, Siyu; Zhao, Hongying; Wang, Yufei; Feng, Xiao

doi:10.3390/pr8020185

Cited by 5 publications

(4 citation statements)

References 36 publications

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“…Previous studies into ML applications of facility, floor, or furniture layout problems were mostly focused on equally sized objects [33,38]. Some addressed 10-20 differently sized items [37], or the number of layout objects was usually less than 10 items [34,38,39,41]. In addition, the entire size of the space was small or hypothetical e.g., a 10 × 10 bounding box [38], 4.51 × 5.01 m [39], or 48.6 m 2 [41].…”

Section: Discussionmentioning

confidence: 99%

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Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Fan

Chu

2021

Applied Sciences

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The curation design of cultural heritage sites, such as museums, influence the level of visitor satisfaction and the possibility of revisitation; therefore, an efficient exhibit layout is critical. The difficulty of determining the behavior of visitors and the layout of galleries means that exhibition layout is a knowledge-intensive, time-consuming process. The progressive development of machine learning provides a low-cost and highly flexible workflow in the management of museums, compared to traditional curation design. For example, the facility’s optimal layout, floor, and furniture arrangement can be obtained through the repeated adjustment of artificial intelligence algorithms within a relatively short time. In particular, an optimal planning method is indispensable for the immense and heavy trains in the railway museum. In this study, we created an innovative strategy to integrate the domain knowledge of exhibit displaying, spatial planning, and machine learning to establish a customized recommendation scheme. Guided by an interactive experience model and the morphology of point–line–plane–stereo, we obtained three aspects (visitors, objects, and space), 12 dimensions (orientation, visiting time, visual distance, centrality, main path, district, capacity, etc.), 30 physical principles, 24 suggestions, and five main procedures to implement layout patterns and templates to create an exhibit layout guide for the National Railway Museum of Taiwan, which is currently being transferred from the railway workshop for the sake of preserving the rail culture heritage. Our results are suitable and extendible to different museums by adjusting the criteria used to establish a new recommendation scheme.

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Section: Discussionmentioning

confidence: 99%

“…Pourhassan and Raissi also utilized the GA and particle swarm algorithm (PSA) to experiment with the dynamic facility layout problem [36]. Wu et al coupled GA with the surplus rectangle fill algorithm to experimental facility layout endeavors and achieved better solutions in their implementation [37].…”

Section: Related Study Of Spatial Planning With An Algorithmmentioning

confidence: 99%

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Fan

Chu

2021

Applied Sciences

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“…The equipment layout problem of a chemical plant involves the comprehensive consideration of complicated factors such as equipment spatial location, material transportation planning, determination of workshop area and floor number setting, as well as the trade-off between safety and cost. Additionally, there has developed a tendency to design and construct chemical processing plants of greater sophistication, investment cost and of larger scale [5,6]. Under such circumstances, the development of effective designing methodologies for chemical plant layouts becomes pivotal.…”

Section: Introductionmentioning

confidence: 99%

Efficient Approaches for Layout Problems of Large Chemical Plants Based on MILP Model

Zhou

et al. 2023

Processes

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This paper presents two novel solution approaches for addressing large-scale multi-floor process plant layout problems. Based on the mixed integer linear programming (MILP) model, the first solution approach employs a multi-directional search strategy while the second improves solution efficiency by reducing model size through an iterative framework. Both approaches determine the spatial arrangement of the plant equipment considering equipment-floor allocation, non-overlapping constraints, tall equipment penetrating multiple floors, etc. The computational results indicate that the proposed approaches achieved potential cost savings for four illustrative examples when compared to the previous studies. Finally, engineering experience constraints were included to represent a more complex industrial situation, and their applicability was tested with the last example.

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“…The similarity among the above studies is that the facilities' locations are fixed and only the connections between facilities were optimized. Wang et al [15] and Wu et al [16] optimized the layout of industrial plants with both the locations of facilities and pipe connection topology, demonstrating that the location of facilities might affect the pipe connection topology and thus affect the cost. Based on the above description, it could be deduced that for the layout of subsea production control system, the pipe layout structure and integral optimization of the facility location and pipe connection topology could affect the total cost.…”

Section: Introductionmentioning

confidence: 99%

Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint

2021

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The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production system. The rational layout of the subsea production control system is essential to reduce development costs and ensure safe production in offshore fields. Most previous studies on layout design in offshore fields have focused on the oil- and gas-gathering system. However, the layout of the subsea production control system has not thoroughly been researched to date and the seabed terrain and integral optimization have rarely been discussed. This paper focuses on the multi-layer star structure and multi-layer star-tree structure, two common layout structures of subsea production control systems, and establishes the corresponding model with obstacle and seabed terrain conditions. Obtaining the lowest possible total cost was the aim of the model. A hybrid algorithm combining the adaptive mutation particle swarm algorithm and the A-star algorithm was applied to integrally optimize the subsea distribution unit and umbilical touch down point positions, the pipe connection topology and pipe routes. The practicality of this approach is demonstrated by designing a layout with one FPSO and 22 subsea control modules. The results indicate that the multi-layer star-tree layout structure has a lower total cost compared to that of the multi-layer star layout structure. In addition, the results were compared with a case that ignores the seabed terrain, indicating differences in the total construction cost. This method provides engineers with quantitative references and reliable cost estimates to make decisions regarding the layout of the subsea production control system.

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Coupling Layout Optimization of Key Plant and Industrial Area

Cited by 5 publications

References 36 publications

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Efficient Approaches for Layout Problems of Large Chemical Plants Based on MILP Model

Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint

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