Affiliations: [a] Department of Informatics, University of Piraeus, Piraeus, Greece | [b] School of Economics, Business and International Studies, University of Pireaus, Piraeus, Greece | [c] Department of Industrial Management and Technology, University of Piraeus, Piraeus, Greece
Correspondence:
[*]
Corresponding author: Gregory Koronakos, Department of Informatics, University of Piraeus, Greece. E-mails: gkoron@ unipi.gr; gkoron@imuresearch.eu.
Abstract: Shipbrokers play a key role in maritime industry by acting as intermediates between shipping companies and the market. They undertake various chartering, buying or selling operations. In this paper, we propose a mathematical programming approach for the evaluation and selection of shipbrokers. Specifically, the score of each ship broker is a composite measure that is derived by aggregating a set of performance criteria, e.g., reputation, etc. The developed mathematical programming models enable the aggregation and weighting of the criteria. We employ three optimization models to explore the effect of different weighting schemes on the scores and ranking of the shipbrokers. The models that provide a common set of weights for all the shipbrokers establish the appropriate ground for comparisons among them. Also, our models facilitate the incorporation of user priorities over the criteria in the form of weight restrictions. The proposed approach is illustrated by assessing seven shipbroker offers for selling a dry-bulk ship using four criteria, namely revenue, brokerage fee, brokerage time and terms & conditions.
