A decision method on yard cranes transformation and deployment in green ports

Abstract

AbstractThis study proposes a strategic level decision method for yard cranes (YCs) transformation and deployment for the purpose of building efficient and energy‐saving green ports with low carbon emission. An integer programming model is embedded in the method for the above decision considering some green technology for YC transformation. The aim of the model is to minimize the investment cost for purchasing and transforming YCs as well as the operation costs during the planning horizon. A neighborhood descent particle swarm optimization algorithm is developed for solving the proposed model. Real data based on numerical experiments are conducted to verify the effectiveness of the proposed decision method. Take the case of Shanghai Yangshan Deep Water Port, the carbon emission is reduced by 415,756.8 kg and the energy consumption costs are saved 1,226,016 RMB. The above method may be potentially useful for the practitioners on the strategic level decisions of YCs transformation and deployment.