Multi-Layer, Multi-Segment Iterative Optimization for Maritime Supply Chain Operations in a Dynamic Fuzzy Environment

This study aims to develop a multi-layer, multi-segment iterative optimization algorithm for the operations of a single agent, which can be either a container in a distribution system, an automated guided vessel in a transport network or a vessel in a maritime environment with obstacles. It can be applied to several kinds of problems such as route optimization, path planning, project management, port operations, efficiency of an automated guided vessel, and unmanned vessels. All required qualitative and quantitative concerns (length, energy consumption, economic factors, safety issues, etc.) can be embedded to the system. Relevant data are based on crisp and/or fuzzy values. This model works well in an environment with different sectors. Each sector has its unique characteristics such as different number of options and multiple factors that can be cost and/or benefit.