IE-OPIM Joint Seminar
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  • IE-OPIM Joint Seminar

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MULTI-OBJECTIVE OPTIMIZATION FOR SIMULTANEOUS BERTH ALLOCATION AND CRANE SCHEDULING PROBLEM

Port management is often faced with many challenging problems that require the decision makers to consider numerous issues all at a time. Involvement of multiple parties in the activities associated with container terminal operations makes the port management problem even more complex. The presence of such complications necessitates the use of a decision support tool.
In this study, we propose a decision support tool for the simultaneous berth allocation and crane scheduling problem considering two objectives that needs to be satisfied. We first extend the literature by better reflecting practical considerations. We then formulate this problem by bi-objective integer programming namely, the objectives of minimizing the total service time and cost of crane setups. To solve the problem we follow an epsilon-constraint method based solution algorithm to acquire the nondominated berth-crane assignments and schedules as Pareto optimal frontier. The decision makers may use the obtained optimal Pareto frontier as a decision-aid tool. With this multi-solution approach, decision maker is offered the flexibility of adjusting the balance within conflicting objectives.
Joint work with: Evrim Ursavaş, Faculty of Economics and Business, Operations, University of Groningen, the Netherlands.

Professor Deniz Özdemir
Deniz Özdemir is a Professor in the Industrial Engineering Department of Yaşar University, Izmir, Turkey. She received her B.S. and M.S. degrees in Industrial Engineering from Bilkent University, Ankara, Turkey, and M.S. and Ph.D. degrees in Operations Management from INSEAD, Fontainebleau, France. Dr. Özdemir worked at Universidad Autonoma de Nuevo Leon in Mexico as a faculty member before joining Yaşar University.
She .teaches classes in distribution logistics and supply chain planning and design, as well as statistical quality control, design of engineering experiments and statistics for engineers.
Dr. Özdemir’s main research interests are supply chain management, reverse logistics, simulation methodology and applications.