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Mixed-Integer Optimization for Ship Retrofitting in Green Logistics

Author

Listed:
  • Tianfang Ma

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Xuecheng Tian

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Yan Liu

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Yong Jin

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Shuaian Wang

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

Abstract

Maritime transportation plays a pivotal role in global trade and international supply chains. However, the sector is also a significant source of emissions. One of the most promising technologies for reducing these emissions is air lubrication, which involves installing bubbles along the hull of a ship. Despite its potential, the design of cost-effective bubble-installation plans for ship fleets over the planning horizon remains unexplored in the literature. This paper addresses this gap by proposing a mathematical programming model designed to optimize the installation of bubble-based systems. We present several propositions concerning the model’s properties, supported by rigorous proofs. To validate the model’s effectiveness, we conduct a series of computational experiments. The findings demonstrate that our optimization model enables shipping companies to devise bubble-installation plans that are cost-effective. This contribution not only extends the current understanding of emission reduction technologies in maritime transportation, but also offers practical insights for their implementation.

Suggested Citation

  • Tianfang Ma & Xuecheng Tian & Yan Liu & Yong Jin & Shuaian Wang, 2024. "Mixed-Integer Optimization for Ship Retrofitting in Green Logistics," Mathematics, MDPI, vol. 12(12), pages 1-13, June.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1831-:d:1413558
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