DEVELOPMENT OF MODEL-DRIVEN DECISION SUPPORT SYSTEMTO SCHEDULE UNDERWATER HULL CLEANING

Brodogradnja

article

Dinariyana, AAB¹  Deva, Pande Pramudya¹  Ariana, I Made²  Handani, Dhimas Widhi¹ 

[1] Department of Marine Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo, Surabaya, Indonesia 60111, Center of Excellence for Maritime Safety and Marine Installation Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo;[e-mail]

关键词: Biofouling;    Decision Support System;    Maintenance Scheduling;    Underwater HullCleaning;   

DOI  :  10.21278/brod73302

学科分类：工程和技术（综合）

来源: Brodarski Institut

【 摘 要 】

Maritime industries are constantly searching for a method to enhance ship efficiency,with increasing concern about the environmental impact and rising fuel prices. Marinebiofouling is one of the factors that increase ship fuel consumption. However, removing thefouling of the ship requires effort for hull maintenance. Due to the trade-off betweenconducting maintenance and performance degradation, this study presents the development ofa Model-Driven Decision Support System (MD-DSS) to predict the optimum time forunderwater hull cleaning for biofouling management. Five stages (sub-models) are employedto develop a DSS, namely: ship resistance estimation, estimation of additional resistance dueto biofouling, an iterative-based method for determining the best time to conduct the hullcleaning, and an analysis report. The implemented algorithm was validated by comparing itsresult with a manually scheduled maintenance date. The DSS is able to determine the besttime (date) for maintenance in all given scenarios. By giving two scenarios of differentmaintenance costs and different fuel prices, the optimisation results produce the same numberof maintenances. Within 60 months, four to five hull cleanings are required. It is also foundthat when the optimal number of maintenances is known, then increasing this number will nothave any impact on reducing the hull cleaning costs because the reduction in fouling does notsignificantly reduce the costs incurred for maintenance. During several trials of the DSS, it isshown that the system can generate maintenance schedules for different time intervals of shipoperation within an acceptable time. It takes approximately 52 minutes, 12 minutes, and 5minutes consecutively to determine the maintenance schedules for ship operation intervals of5 years, 2.5 years, and 1 year.

【 授权许可】

CC BY