Framework and implementation of a fuzzy logic filter-an optimization strategy for the BWMS based on stakeholders'...

Area of Science:

• Marine Engineering
• Environmental Science
• Maritime Operations

Background:

• The International Convention for the Control and Management of Ships' Ballast Water and Sediments (2004) mandates global regulations to prevent invasive species transfer.
• The maritime industry has invested significantly in developing and installing ballast water management systems (BWMS).
• Effective BWMS implementation requires careful consideration of environmental factors, system optimization, and stakeholder engagement.

Purpose of the Study:

• To develop a framework for optimizing BWMS installation projects on oil tankers.
• To apply fuzzy logic principles as an evaluation tool for BWMS implementation strategies.
• To analyze the specific modeling challenges for BWMS on Suezmax and Aframax oil tankers.

Main Methods:

• Developing an optimization framework for BWMS implementation projects.
• Utilizing multicriteria decision-making principles for initial ranking.
• Applying fuzzy logic for evaluating and ranking optimization strategies.
• Analyzing two case studies: Suezmax and Aframax oil tankers.

Main Results:

• A structured approach for BWMS implementation planning and stakeholder management was established.
• Fuzzy logic provided a robust method for evaluating and selecting optimal BWMS strategies.
• Peculiarities in modeling BWMS for different oil tanker types (Suezmax, Aframax) were identified.

Conclusions:

• A comprehensive framework integrating multicriteria decision-making and fuzzy logic enhances BWMS implementation on oil tankers.
• Effective stakeholder management is crucial for successful BWMS project execution.
• The study provides valuable insights for optimizing ballast water management in the maritime industry, particularly for oil tankers.