A Solution Approach to the Daily Dockworker Planning Problem at a Port Container Terminal

This study focused on vital resources at port container terminals such as quay cranes and dockworkers. We studied the impact of incorporating the dockworker assignment problem (DWAP) into the quay crane assignment problem (QCAP). The aim of this study was to formulate and solve an integrated model for QCAP and DWAP, with the objective of minimizing the total costs of dockworkers, by optimizing workers’ assignment, so that the ships’ costs due to the time spent in the port are not increased. We proposed an integrated solution approach to the studied problem. Our proposed model has been validated on an adequate number of instances based on the real data. Obtained solutions were compared with the solutions obtained by the traditional sequential approach. It was demonstrated that, for all solved instances, our proposed integrated approach resulted in a reduction in the total costs of dockworkers. The major contribution of this study is that this is the first time that these two problems were modeled together. The obtained results show significant savings in the overall costs

COMBINING DATA ENVELOPMENT ANALYSIS AND ANALYTIC HIERARCHY PROCESS FOR EFFICIENT INLAND PORT SERVICES: CASE STUDY OF THE PORT DUNAV PANCEVO

This paper shows the process of decision making in order to choose the most efficient technology for dry bulk cargo handling at an inland port. The port operator's objective is to maximize the efficiency of cargo handling services, in order to primarily minimize total vessel time in the port. Proposed combinations of major and auxiliary handling equipment, vehicles, and corresponding labour, together with dry bulk cargo packing options are systematized into 16 variants defined by a survey from experts in the field. We proposed a three-step approach to select the most efficient among them. In the first step we used simulation to obtain performance indicators for each variant. In the second step, AHP is used to quantify qualitative data. Finally, the CCR DEA model and super-efficiency DEA modelare used to identify the most efficient variant(s)