Maritime Stakeholder Model-Based Decision-Making for Accelerated Adoption of Autonomous Vessels by Analyzing Tradeoffs in R&D Investment, Manufacturing, and Operational Experience

EasyChair Preprint 8865

Abstract

Maritime autonomous surface ships (MASS) have been proposed to significantly transform the maritime industry. While research and development are underway worldwide, fully autonomous ships have yet to be commercialized, hindered by technical, economic, and legal constraints. Ship builders and ship owners together must weigh how to invest limited budgets and attention to adopt MASS. This research demonstrates a model and simulation to explore the interplay of decisions and actions by maritime stakeholders, including R&D investment, technology readiness of various autonomy subsystems, and learning curves in manufacturing and operation. These factors are examined across specific types of ships to bend the adoption curve, so that industrial capability and adoption of MASS are accelerated. By exploring the tradespace of combined decisions toward the introduction of MASS, roadmaps are crafted which can be tuned to particular industrial maturity, resources, and market. Simulation results for a specific ship type and market are shown.

Keyphrases: Maritime Autonomous Surface Ship (MASS), Model-based System Architecture, Research and Development (R&D), decision support, maritime industry, policy mechanism

@booklet{EasyChair:8865,
  author    = {Takuya Nakashima and Tomohiro Sugimoto and Keisuke Kimura and Bryan Moser},
  title     = {Maritime Stakeholder Model-Based Decision-Making for Accelerated Adoption of Autonomous Vessels by Analyzing Tradeoffs in R&D Investment, Manufacturing, and Operational Experience},
  howpublished = {EasyChair Preprint 8865},
  year      = {EasyChair, 2022}}