Demirel H. | Akyuz E. | Celik E. | Alarcin F.

Article | 2019 | Ships and Offshore Structures14 ( 7 ) , pp.675 - 683

Ballast water is of paramount importance for safe and efficient shipping operation since it provides ship’s strength and stability. The ballast water, on the other hand, poses serious marine ecological problems due to the non-indigenous species (NIS) carried in sea water. The International Maritime Organisation introduced International Convention for the Control and Management of Ships’ Ballast Water and Sediments (BWM Convention) to prevent the spread of harmful species from one region to another via ballast water. According to the convention, each ship must be equipped with a proper ballast water treatment system (BWTS). In this c . . .ontext, this paper is aimed at measuring the performance effectiveness of current BWTS used in ships. To achieve this purpose, a Qualitative Flexible (QUALIFLEX) method is used under interval type-2 fuzzy sets (IT2FSs) environment. While the QUALIFLEX handles all possible permutations of the alternatives for outranking, the IT2FSs deal with uncertainty this paper provides practical benefits to ship owners, ship’s safety inspectors, managers and marine environmentalists during decision-making progress of the BWTS settlement on-board ship. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group Daha fazlası Daha az

Alarcin F. | Balin A. | Demirel H.

Article | 2014 | Journal of Marine Engineering and Technology13 ( 1 ) , pp.3 - 11

Although significant technical precautions have been taken in marine diesel engine and auxiliary systems, unexpected failures can be observed during operation. These failures can sometimes lead to irreversible losses. The purpose of the study is to present fuzzy Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods that can be applied for failure detection in auxiliary systems and marine diesel engine determined by group of experts. By evaluating the decision-making groups, the system most affected by failures was determined. © 2014 Taylor and Francis Ltd. All rights reserved.