A Decision Support System and its Application for International Sea-Rail Multimodal Freight Transportation Operations

Abstract

Multimodal transportation generally refers to international freight transport using a combination of at least two different transport modes rather than a single such as trucks used in road transportation. Multimodal transportation has been studied in the literature to develop more effective and efficient methods to carry freight; yet, pricing policy has not been examined thoroughly. The fixed price is the main policy adopted in freight transport sector in Turkey. However, revenues at the operational level may be increased by applying dynamic pricing approaches, which have been commonly used in the airline and hospitality sectors. In this study, a revenue-driven web-based decision support system is developed for international sea-rail multimodal freight transport operations. A web-based prototype is designed that involves the user interface, logic interface and database to present the operational planning outputs of the project entitled Ship2Rail. The underlying ER model is described and the working principles of the data model used in the database design is explained. Furthermore, the elements of fixed and dynamic pricing policies depending on the demand behavior and time constraint are discussed.

Keywords

• Combined Transportation,Multimodal Transportation,Dynamic Pricing,Decision Support System,International Freight Transport,Sea-Rail

ULUSLARARASI DENİZ-DEMİR YOLU KOMBİNE YÜK TAŞIMACILIĞI OPERASYONLARI İÇİN BİR KARAR DESTEK SİSTEMİ VE UYGULAMASI

Abstract

Kombine taşımacılık, uluslararası yük taşıma zincirinde genellikle tek tip taşıma türü olan kara yolu yerine, en az iki farklı taşıma türünün birleştirilmesi ile yapılan taşımacılığı ifade etmektedir. Literatürde kombine taşımacılık ile yüklerin nasıl daha etkili ve verimli taşınacağı araştırılmış olmakla beraber fiyatlandırma politikası ayrıntılı incelenmemiştir. Günümüzde kombine taşımacılıkta genellikle sabit fiyat politikası uygulanmaktadır. Ancak, hava yolu taşımacılığı ve otel yönetimi gibi sektörlerde görülen dinamik fiyatlandırma yaklaşımlarının kombine taşımacılık operasyonel planlamasında uygulanmasıyla geliri artırmak mümkün olabilmektedir. Bu çalışmada, gelir yönetimine göre uluslararası deniz-demir yolu kombine yük taşımacılığı senkronize operasyonları için web tabanlı bir karar destek sistemi sunulmuştur. Ship2Rail adlı projenin operasyonel planlama çıktılarını sunmak amaçlı hazırlanan bu web tabanlı platformu oluşturan kullanıcı arayüzü, mantık arayüzü ve veri tabanlarını içeren bir prototip tasarımı betimlenmiştir. Buna temel teşkil eden varlık-ilişki modeli sunulmuş, veri tabanı tasarımı için kullanılan veri modelinin çalışma prensipleri açıklanmıştır. Ayrıca, talebe göre sabit ve dinamik fiyatlandırma politikalarını içeren senaryolarda gözetilen, farklılaşan unsurlar vurgulanmıştır.

Keywords

• Kombine Taşımacılık,Çok Türlü Taşımacılık,Dinamik Fiyatlandırma,Karar Destek Sistemi,Uluslararası Yük Taşımacılığı,Deniz-Demir Yolu

References

1. Ambra, T., Caris, A., ve Macharis, C. (2018) Towards freight transport system unification: reviewing and combining the advancements in the physical internet and synchromodal transport research, International Journal of Production Research, 1-18. doi.org/10.1080/00207543.2018.1494392
2. Armstrong, A. ve Meissner, J. (2010) Railway revenue management: overview and models, Working Papers, MRG/0019, Department of Management Science, Lancaster University.
3. Caris, A., Macharis, C. ve Janssens, G. (2008) Planning problems in ıntermodal freight transport: accomplishments and prospects, Transportation Planning and Technology, 31(3), 277-302. doi.org/10.1080/03081060802086397
4. Crainic, T. G., Perboli, G. ve Rosano, M. (2017) Simulation of intermodal freight transportation systems: a taxonomy, European Journal of Operational Research, 270(2), 401-418. doi.org/10.1016/j.ejor.2017.11.061
5. Cruijssen, F. (2012) http://www.co3-project.eu/wo3/wp-content/uploads/2011/12/CO3-D-2-1-Framework-for-collaboration-full-report-2.pdf, Erişim Tarihi: 01.04.2018, Konu: Collaboration Concepts For Comodality’(CO³), ArgusI BV.
6. Dahlberg, J., Engevall, S., ve Göthe-Lundgren, M. (2018) Consolidation in urban freight transportation - cost allocation models, Asia-Pacific Journal of Operational Research, 35(04). doi.org/10.1142/S0217595918500239
7. Dong, C., Boute, R., McKinnon, A., ve Verelst, M. (2018) Investigating synchromodality from a supply chain perspective, Transportation Research Part D: Transport and Environment, 61, 42-57. doi.org/10.1016/j.trd.2017.05.011
8. Elmaghraby, W. ve Keskinocak, P. (2003) Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions, Management Science, 49(10), 1287-1309. doi.org/10.1287/mnsc.49.10.1287.17315

9. Ergun, Ö., Kuyzu, G., ve Savelsbergh, M. (2007) Shipper collaboration, Computers & Operations Research, 34(6), 1551–1560. doi.org/10.1016/j.cor.2005.07.026
10. Evren, G. & Ögüt, K.S. (2006) Kombine taşımacılık ve Ro-La, Uluslararası Demiryolu Sempozyumu, 13-16 Aralık 2006, Ankara, Türkiye.
11. Ghiani, G., Laporte, G. ve Musmanno, R. (2004) Introduction to Logistics Systems Planning and Control, John Wiley & Sons.
12. Gökçen, H. (2007) Yönetim Bilgi Sistemleri, Palme Yayıncılık.
13. Kayikci, Y. (2014) A collaborative slot allocation model for the sea-rail multimodal transport service providers based on revenue management, 21. International Annual EurOMA Conference (EurOMA 2014), 20-25 June 2014, Palermo, Italy.
14. Kelle, P., Song, J. Jin, M., Schneider, H. ve Claypool, C. (2018) Evaluation of operational and environmental sustainability tradeoffs in multimodal freight transportation planning, International Journal of Production Economics. doi.org/10.1016/j.ijpe.2018.08.011
15. Lowe, D. (2005) Intermodal Freight Transport, Elsevier, Oxford, United Kingdom.
16. Lu, H., Chu, C. ve Che, P. (2010) Slot allocation planning for an alliance service with ship fleet sharing, Asia Pacific Management Review, 15(3), 325-339.
17. Luo, T., Gao, L. ve Akçay, Y. (2016) Revenue management for intermodal transportation: the role of dynamic forecasting, Production and Operations Management, 25(10), 1658-1672. doi.org/10.1111/poms.12553
18. Mutlu A., Kayikci Y. ve Çatay B. (2017) Planning multimodal freight transport operations: A literature review, 22. International Symposium on Logistics (ISL2017), Ljubljana, Slovenia, 553–560.
19. Pruzan-Jorgensen, P. ve Farrag, A., (2010) https://www.bsr.org/reports/BSR_Sustainability_Trends__Container_Shipping_Industry.pdfErişim Tarihi: 08.04.2018, Konu: Sustainability Trends in the Container Shipping Industry, BSR.
20. Reis, V. (2015) Should we keep on renaming a+ 35-year-old baby?, Journal of Transport Geography, 46, 173-179. https://doi.org/10.1016/j.jtrangeo.2015.06.019
21. Rodrigue, J.P., Comtois, C. ve Slack, B. (2006) The Geography of Transport Systems, Routledge, New York.
22. Rosano, M., Demartini, C.G., Lamberti, F., ve Perboli, G. (2018). A mobile platform for collaborative urban freight transportation. Transportation Research Procedia, 30, 14-22. doi.org/10.1016/j.trpro.2018.09.003
23. Serrano-Hernández, A., Juan, A.A., Faulin, J., ve Perez-Bernabeu, E. (2017). Horizontal collaboration in freight transport: concepts, benefits and environmental challenges. SORT-Statistics and Operations Research Transactions, 41(2), 393-414. doi.org/10.2436/20.8080.02.65
24. Talluri, K. ve Van Ryzin, T.G. (2005) The Theory and Practice of Revenue Management. Springer Verlag, New York.
25. Tavasszy, L.A. ve van Meijeren, J. (2011) http://www.acea.be/uploads/publications/ SAG_17.pdf, Erişim Tarihi: 12.01.2018, Konu: Modal Shift Target for Freight Transport Above 300 Km: An Assessment. Discussion Paper – 17th ACEA SAG Meeting.
26. UBAK (2014) http://www.ubak.gov.tr/BLSM_WIYS/TMKDG/tr/doc/20150106_122025_ 64574_1_64896.pdf, Erişim Tarihi: 03.08.2018, Konu: Türkiye Kombine Taşımacılık Strateji Belgesi, UDH, Ankara.
27. Udomwannakhet, J., Vajarodaya, P., Manicho, S., Kaewfak, K., Ruiz, J. B., ve Ammarapala, V. (2018) A review of multimodal transportation optimization model, 5th International Conference on Business and Industrial Research (ICBIR2018), 333-338, Bangkok, Thailand, IEEE. doi.org/10.1109/ICBIR.2018.8391217
28. Van Woensel, T., SteadieSeifi, M., Dellaert, N.P., Nuijten, W. ve Raoufi, R. (2014) Multimodal freight transportation planning: A literature review, European Journal of Operational Research, 233 (1), 1-15. doi.org/10.1016/j.ejor.2013.06.055