A Multi-Objective Decision and Analysis Approach for the Berth Scheduling Problem

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Author(s): Mihalis M. Golias (University of Memphis, USA), Maria Boilé (Rutgers University, USA), Sotirios Theofanis (Rutgers University, USA)and Heidi A. Taboada (The University of Texas at El Paso, USA)
Copyright: 2012
Pages: 20
Source title: Project Management Techniques and Innovations in Information Technology
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-4666-0930-3.ch001

Keywords: Information Resources Management / Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Berth scheduling can be described as the resource allocation problem of berth space to vessels in a container terminal. When defining the allocation of berths to vessels container terminal operators set several objectives which ideally need to be optimized simultaneously. These multiple objectives are often non-commensurable and gaining an improvement on one objective often causes degrading performance on the other objectives. In this paper, the authors present the application of a multi-objective decision and analysis approach to the berth scheduling problem, a resource allocation problem at container terminals. The proposed approach allows the port operator to efficiently select a subset of solutions over the entire solution space of berth schedules when multiple and conflicting objectives are involved. Results from extensive computational examples using real-world data show that the proposed approach is able to construct and select efficient berth schedules, is consistent, and can be used with confidence.

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