【06月05日】鎮璐⏲：Green technology adoption for fleet deployment in a shipping network

The Emission Control Areas (ECAs) established by the International Maritime Organization are beneficial to reduce sulphur emissions in maritime transportation but bring a significant increase in operating cost for shipping liners. Low sulphur emissions are required when ships berth or sail within ECAs. It is an irreversible trend that green technologies such as scrubbers and shore power will be implemented in maritime shipping industry. However, literature lacks a quantitative decision methodology on the green technology adoption for fleet deployment in a shipping network in the con- text of ECAs. This study proposes a nonlinear mixed integer programming model to optimally determine fleet deployment along routes, timetables, sailing speeds on all legs, and cargo allocation among routes for each origin-destination pair. A three- phase heuristic is also developed to solve this problem. Numerical experiments with real-world data are conducted to validate the effectiveness of the proposed model and the efficiency of the three-phase heuristic. Some managerial implications are also outlined on the basis of the numerical experiments.