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Determining optimal inland-empty-container depot locations under stochastic demand |
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| Authors: | Neha Mittal Maria Boile Alok Baveja Sotiris Theofanis |
| Affiliation: | 1. Dept. of Marketing and Supply Chain Management, Fox School of Business, Temple University, 1801 Liacouras Walk, Philadelphia, PA 19122, USA;2. Hellenic Institute of Transport, Centre for Research and Technology Hellas, 357-359 Mesogeion Av., Athens 15231, Greece;3. School of Business, Rutgers, The State University of New Jersey, 227 Penn Street, Camden, NJ 08102, USA;4. Center for Advanced Infrastructure & Transportation, Freight and Maritime Program, Rutgers, The State University of New Jersey, 100 Brett Road, Piscataway, NJ 08854, USA |
| Abstract: | Maritime freight volumes fluctuate with changes in consumer demand and global economies. In this paper we analyze the stochasticity in the container trade volumes and perform a two-stage stochastic analysis with recourse to determine an optimal set of inland depots to be opened within a 10-year time horizon. The work builds on our previous effort that introduced the concept of an ‘Inland-Depots-for-Empty-Containers’ (IDEC) system for effective regional repositioning of empty containers. We evaluate the proposed approach by performing a case study based on the port region of New York/New Jersey. Results obtained demonstrate greater expected benefit from the proposed approach as compared to the corresponding deterministic or single-stage stochastic models. |
| Keywords: | R41 R42 |
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