Cabin placement layout optimisation based on systematic layout planning and genetic algorithm

• Autorzy: Su S. , Zheng Y. , Xu J. , Wang T.
• Języki publikacji: EN

Abstrakty

EN

Cabin placement layout is an important part of ship cabin layout design. A good cabin placement layout can improve the efficiency of the ship’s cabin arrangement. However, optimisation of the layout of cabin placement is not widely studied and more often relies on the experience of the staff. Thus, a novel methodology combining systematic layout planning and a genetic algorithm to optimise the cabin placement is presented in this paper. First key elements are converted by a systematic planning method that is often applied in factory layout, and a preliminary cabin placement layout model is established according to these key elements. Then the circulation strength and adjacency strength are taken as sub-objectives to establish a mathematical model, and an improved genetic algorithm is used to optimise the model. The result of the optimisation is compared with the initial schemes to verify the validity of the algorithm. Finally, the human factors are introduced according to the actual situation. The AHP method is used to select the layout scheme of the cabin that is most likely to be applied in the actual cabin layout

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2020
• Tom: 27
• Numer: 1
• Opis fizyczny: p.162-172,fig.,ref.

Twórcy

autor

Su S.

• Naval Architecture and Ocean Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning, 116026 Dalian, Liaoning, China

autor

Zheng Y.

• Naval Architecture and Ocean Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning, 116026 Dalian, Liaoning, China

autor

Xu J.

• Dalian Shipping College, No.1 Jinchang Street, Lushun Economic Development Zone, 116052 Dalian, Liaoning, China

autor

Wang T.

• Naval Architecture and Ocean Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning, 116026 Dalian, Liaoning, China

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Identyfikatory

DOI

10.2478/pomr-2020-0017