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SUSTAINABLE CONTAINER TERMINAL OPERATIONS: CHALLENGES AND ENHANCEMENTS

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DOI: 
http://dx.doi.org/10.12787/KARAM1058
Author NameUniversity of Author
Abstract (2. Language): 
Maritime transportation has the largest share of all other transportation modes with its cost effectiveness. Regarding growth in container traffic, ports business has grown into a much more challenging environment. One of the biggest issues to rise in port business in twenty-first century has been ‘sustainability’. Due to harsh competition in port business, it is not easy to talk about triple bottom line in efficient and sustainable port operations. Most of the upgrades in container terminals are technology dependent. While this is pushing the financial limits, adding environmental, social, efficient and productive measures into the equation opens up multidisciplinary research field of study. Researchers embraced performance measuring techniques extensively in earlier studies. It is not so easy to find a study on enhancing performance sustainability. There are commonly known temporary techniques for productivity increase in port business but during the literature reviews around sustainable operations of seaport – supply chain integration, there came across no studies explaining all aspects of the subject. This study aims to clarify the path to sustainable advancements and challenges in efficient and sustainable container terminal operations.
Abstract (Original Language): 
Deniz nakliyesi, maliyet etkinliği ile tüm diğer ulaşım modları arasında en büyük paya sahiptir. Konteyner trafiğindeki büyümeye ile beraber limancılık işi de çok daha zorlayıcı bir hale bürünmüştür. Yirmi birinci yüzyılda limancılık işletmelerinde gözlenen en büyük sorunlardan biri 'sürdürülebilirlik' olmuştur. Limancılık işindeki yoğun rekabetçi ortam nedeniyle etkin ve sürdürülebilir limanlardan bahsetmek pek de kolay olmamaktadır. Konteyner terminallerindeki gelişmelerin çoğu teknolojiye bağımlıdır. Bu durum finansal sınırları zorlarken, denklemin içine, çevresel, sosyal, etkin ve verimli tedbirlerin eklenmesi çalışmanın çok disiplinli araştırmalar alanına açılmasını sağlamaktadır. Araştırmacılar önceki çalışmalarda performans ölçüm tekniklerini yaygın bir şekilde işlemişlerdir. Performansın sürdürülebilir bir şekilde artırılması hakkında bir çalışma bulmak o kadar kolay değildir. Limancılık işinde verimliliğin arttırılması için kullanılan kısa süreli yöntemlerin olduğu bilinmektedir, ancak liman - tedarik zinciri entegrasyonu alanı ile ilgili yapılan literatür araştırmalar sırasında konuyu tam anlamı ile kapsayan bir çalışmaya rastlanamamıştır. Bu çalışma, etkin ve sürdürülebilir konteyner terminal operasyonlarına giden sürdürülebilir gelişmelere giden yolu aydınlatmayı amaçlamaktadır.
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REFERENCES

References: 

AK, A. (2008). Berth and quay crane scheduling: problems, models and solution
methods. Michigan: ProQuest LLC.
AVRIEL, M., PENN, M., SHPIRER, N. & WITTEBOON, S. (1998). Stowage
planning for container ships to reduce the number of shifts. Annals of
Operations Research, 76, pp. 55-71.
AVRIEL, M., PENN, M., SHPIRER, N. & WITTEBOON, S. (1998). Stowage
planning for container ships to reduce the number of shifts. Annals of
Operations Research, 76, pp. 55-71.
BHIMANI, A. K., SISSON, M. A. & MORRIS, C. A. (2004). Reducing the Environmental
Impact of Quayside Cranes on Neighboring Communities.
Bridges, 10 (40727), pp. 108.
BICHICH, S. P., TOMPERI, B. & ERICKSON, B. (2004). Intermodal Yard Development-
Pierce County Terminal. Bridges, 10 (40727), pp. 73.
BISH, E. K., LEONG, T. Y., LI, C. L., NG, J. W. & SIMCHI-LEVI, D. (2001). Analysis
of a new vehicle scheduling and location problem. Naval Research
Logistics (NRL), 48 (5), pp. 363-385.
BONTEMPI, G., GAMBARDELLA, L. M. & RIZZOLI, A. E. (1997). Simulation
and optimisation for management of intermodal terminals. ESM, 97,
pp. 1-4.
CULLINANE, K., SONG, D.W. & GRAY, R. (2002). A Stochastic Frontier Model
of the Efficiency of Major Container Terminals in Asia: Assessing the
Influence of Administrative and Ownership Structures. Transportation
Research Part A: Policy and Practice. 36 (8), pp. 743-762.
DAGANZO, C. F. (1989). The crane scheduling problem. Transportation Research
Part B: Methodological, 23 (3), pp. 159-175.
DONG, Y., YANG, C., TONG, S. & SHI, L. (2010). Berth Allocation Based on
Improved Memetic Algorithm in Container Terminal. ICLEM 2010, pp.
1606-1612.
DORNDORF, U. & SCHNEIDER, F. (2010). Scheduling automated triple crossover
stacking cranes in a container yard. OR Spectrum, 32 (3), pp. 617-
632.
FAN, X. (2010). Progress on RFID Technology Application in Logistics Industry.
ICLEM 2010, pp. 2372-2378.
GADEYNE, B. & VERHAMME, P. (2011). Optimizing maritime container terminal
operations. Ghent University, Ghent, Belgium.
GAMBARDELLA, L. M. & RIZZOLI, A. E. (2000). The role of simulation and
optimisation in intermodal container terminals. 12th European Simulation
Symposium and Exhibition (ESS 2000), Hamburg, Germany.GBOLOGAH, F. E. (2010). Development of a multimodal port freight transportation
model for estimating container throughput. Atlanta: Georgia Institute
of Technology Smart Tech (http://hdl.handle.net/1853/34817).
GKOLIAS, M. D. (2007). The discrete and continuous berth allocation problem:
Models and algorithms. Michigan: ProQuest LLC.
GUAN, L., YANG, C., WANG, N. & WU, L. (2010). Dynamic Berth Scheduling
Optimization Based on Rolling Window in Container Terminal. ICLEM
2010, pp. 3472-3478.
GURAK, H. (2003). Küreselleşme Nereye Götürüyor? Doğrudan Yabancı
Yatırımlar, Verimlilik ve Gelir Dağılımı. Milli Prodüktivite Merkezi
Verimlilik Dergisi, 2003 (2), pp. 1-21.
HARRISON, R., FIGLIOZZI, M. A. & WALTON, C. M. (2000). Mega-containerships
and mega-containerports in the gulf of Mexico: A literature review
and annotated bibliography. Austin, TX: The University of Texas
at Austin (http://www.utexas.edu/research/ctr/pdf_reports/1833_1.
pdf).
HEADLAND, J. R., ELLIS, W., THOMPSON, L. & BREEMAN, P. (2004). Balancing
port planning: Demand, capacity, land, cost, environment, and uncertainty.
Ports 2004, pp. 1-10.
HENESEY, L.E. (2006). Multi-agent systems for container terminal management.
PhD Thesis, Blekinge Institute of Technology, Sweden.
HOWARD, J. M., BASILOTTO, J. P. & HARBOTTLE, H. (1997). Megaports and
Load Centers of the Future with the Port of Houston as the Baseline
Port. Texas: A & M University. (http://d2dtl5nnlpfr0r.cloudfront.net/
swutc.tamu.edu/publications/technicalreports/467404-1.pdf).
IMAI, A., NAGAIWA, K. I. & TAT, C. W. (1997). Efficient planning of berth
allocation for container terminals in Asia. Journal of Advanced Transportation,
31 (1), pp. 75-94.
IMAI, A., NISHIMURA, E. & PAPADIMITRIOU, S. (2001). The dynamic berth
allocation problem for a container port. Transportation Research Part
B: Methodological, 35 (4), pp. 401-417.
JOHNSON, D. J. & KATS, J. (2013). Comparison of Approaches to Automated
Terminals: USA vs. Europe. In Ports' 13: 13th Triennial International
Conference, pp. 361-370.
KIM, K. H. & BAE, J. W. (1998). Re-marshaling export containers in port container
terminals. Computers & Industrial Engineering, 35 (3), pp. 655-
658.
KIM, K. H., PARK, Y. M. & RYU, K. R. (2000). Deriving decision rules to locate
export containers in container yards. European Journal of Operational
Research, 124 (1), pp. 89-101.
KOZAN, E. & PRESTON, P. (1999). Genetic algorithms to schedule container
transfers at multimodal terminals. International Transactions in Operational
Research, 6 (3), pp. 311-329.KU, L. P., LEE, L. H., CHEW, E. P. & TAN, K. C. (2010). An optimisation
framework for yard planning in a container terminal: case with automated
rail-mounted gantry cranes. OR Spectrum, 32 (3), pp. 519-541.
LAINE, J. (2005). Redesign of transfer capabilities: studies in container
shipping services. Helsinki School of Economics: HeSe Print.
LI, W., LI, B. & ZHANG, Y. (2008). Container terminal scheduling and decision-
making using simulation based optimization and business intelligence.
Mechatronics and Automation, 2008. ICMA 2008. IEEE International
Conference, pp. 1053-1058.
LIU, C. I., JULA, H. & IOANNOU, P. A. (2002). Design, simulation, and evaluation
of automated container terminals. Intelligent Transportation Systems,
IEEE Transactions, 3 (1), pp. 12-26.
LU, Y. (2010). Forecast of Seaport Cargo Volume Based on Artificial Neural
Network Model. ICLEM 2010, pp. 3577-3583.
MADIGAN, D., MITTAL, S. & ROBERTS, F. (2011). Efficient sequential decision-
making algorithms for container inspection operations. Naval Research
Logistics (NRL), 58 (7), pp. 637-654.
MURTY, K. G., LIU, J., WAN, Y. W. & LINN, R. (2005). A decision support system
for operations in a container terminal. Decision Support Systems,
39 (3), pp. 309-332.
NAMBOOTHIRI, R. (2006). Planning container drayage operations at congested
seaports. Doctoral dissertation, Georgia Institute of Technolog,
Atlanta, GA, USA.
NISHIMURA, E., IMAI, A. & PAPADIMITRIOU, S. (2001). Berth allocation
planning in the public berth system by genetic algorithms. European
Journal of Operational Research, 131 (2), pp. 282-292.
NYE, L. W., JOHNSON, R. K., MCCOLLOUGH, T. J., DAVIDSON, F. & ERICKSON,
B. P. (2004). Transforming Pierce County Terminal from a General Cargo
Terminal to a Modern Intermodal Container Terminal. Bridges, 10
(40727), pp. 74.
OZGUVEN, E. E., ALTINEL, I. K., GULLU, R. & OTAY, E. (2012). Quay length
optimization using a stochastic knapsack model. Journal of Waterway,
Port, Coastal, and Ocean Engineering, 139 (5), pp. 424-435.
PANAYIDES, P. M. & SONG, D. W. (2008). Evaluating the integration of seaport
container terminals in supply chains. International Journal of
Physical Distribution & Logistics Management, 38 (7), pp. 562-584.
PROKOPENKO, J. (1987). Verimlilik Yönetimi, Uygulamalı El Kitabı. Çeviri
(2003): Baykal, O. ve diğerleri. Ankara: MPM Yayınları.
SAANEN Y.A. (2004). An approach for designing robotized marine container
terminals. PhD Thesis, Delft University of Technology, Delft, Netherlands.
SHEN, F. & SUI, M. (2010). Improved Modern Logistics System Based on the
Integration of GPS, GIS, and RFID Technology. ICLEM 2010, pp. 2353-
2359.
Volkan Çağlar
152
SHI, X., TAO, D. & VOß, S. (2011). RFID technology and its application to
port-based container logistics. Journal of Organizational Computing and
Electronic Commerce, 21 (4), pp. 332-347.
SISSON, M. (2013). Deltaport Intermodal Railyard Capacity Study. Ports' 13:
13th Triennial International Conference, pp. 1736-1742.
ROBINSON, S. (2004). Simulation: The practice of model development and
use. New Jersey: John Wiley & Sons.
TWRDY, E. & BEŠKOVNIK, B. (2012). Planning and decision-making to increase
productivity on a maritime container terminal. PROMETTraffic&
Transportation, 20 (5), pp. 335-341.
USTA, P. (1991). Verimlilik, Verimlilik Arttırıcı Tekniklerin Daha Yaygın ve
Etken Kullanılması İçin Alınması Gerekli Tedbirler. I. Verimlilik
Kongresi Milli Prodüktivite Merkezi Yayınları, 454, pp. 678-686.
UNITED NATIONS CONFERENCE ON SUSTAINABLE DEVELOPMENT.
(2015). The History of Sustainable Development in the United Nations.
Retrieved from http://www.uncsd2012.org/history.html
VACCA, I., SALANI, M. & BIERLAIRE, M. (2011). Container terminal management:
integrated models and large-scale optimization algorithms.
Seminar series (No. EPFL-TALK-167465), Università degli Studi di Roma
"Tor Vergata", Rome, Italy.
VAN HEE, K. M. & WIJBRANDS, R. J. (1988). Decision support system for
container terminal planning. European Journal of Operational Research,
34 (3), pp. 262-272.
VICKERMAN, M. J. & MCDONNELL, M. E. (2004). Terminal Equipment and
Operating Improvements to the Conley Massport Container Terminal:
Capacity Improvement Strategy for Increasing the Conley Terminal
Throughput Capacity. Bridges, 10 (40727), pp. 81.
VIS, I. F. & DE KOSTER, R. (2003). Transshipment of containers at a container
terminal: An overview. European journal of operational research,
147 (1), pp. 1-16.
WANG, X., AN, Y. & ZHANG, Y. (2010). Research on RFID-Based Intelligent
Tracking System of Cold Chain Logistics for Agricultural Products.
ICLEM 2010, pp. 1459-1465.
WIKIPEDIA. (2015). Sustainable Development. Retrieved from
http://en.wikipedia.org/wiki/Sustainable_development
XI, L., LI, J., LI, D. & GU, Z. (2010). An Efficient Supply Chain Management
Model and Application Based on RFID. ICLEM 2010, pp. 4269-4275.
XINJIA, J. (2012). Space-sharing Strategies for Storage Yard Management in a
Transshipment Hub Port. Doctoral dissertation, National University of
Singapore, Singapore.
YU, Y. & DU, W. (2007). Green Supply Chain Management of Manufacturing
Based on System Dynamics. International Conference on Transportation
Engineering, 2007, pp. 2500-2505.
Sustainable Container Terminal Operations
153
YU, Y. & LIU, Y. (2010). Model and Algorithm for the Network System of
Distributing Traffic in Port. ICLEM 2010, pp. 2782-2789.
ZENG, Q. & YANG, Z. (2009). Integrating simulation and optimization to
schedule loading operations in container terminals. Computers & Operations
Research, 36 (6), pp. 1935-1944.
ZHANG, C., LIU, J., WAN, Y. W., MURTY, K. G. & LINN, R. J. (2003). Storage
space allocation in container terminals. Transportation Research Part
B: Methodological, 37 (10), pp. 883-903.
ZHANG, C., WAN, Y. W., LIU, J. & LINN, R. J. (2002). Dynamic crane deployment
in container storage yards. Transportation Research Part B:
Methodological, 36 (6), pp. 537-555.
ZHENG, H., LI, L. & REN, S. (2010). Study on Container Terminal and Production
Resources Model. ICLEM 2010, 2, pp. 1562-1567.
ZHENG, H., LI, L. & WANG, Y. (2010). Study on the Production Optimization
Simulation Platform for the Container Terminal Yard's Operation System.
ICLEM 2010, pp. 1568-1573.

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