Container Slot Co-Allocation Planning with Joint Fleet Agreement in a Round Voyage for Liner Shipping

In the liner shipping market carriers share container slots to offer better service and realize economies of scale. This paper studies slot co-allocation planning for a joint fleet in a round trip for a shipping alliance in the liner shipping industry. In particular, a conceptual model is developed based on joint fleet and slot co-allocation management. The factors affecting slot co-allocation planning are explored in detail. A large-scale integer programming model is formulated to guide carriers in an alliance in pursuing an optimal slot co-allocation strategy. In contrast to the existing research, this approach leads to a more accurate representation of the situation for cooperative services in the liner shipping market. Extensive numerical experiments based on a true Asia-Europe cooperative route of COSCO and HANJIN show that the proposed model can be efficiently solved by LINGO11.0 for the case study. The computational results suggest that the mechanism and model can be used to benefit carriers in making better decisions in shipping cooperation services.

[1]  Qiang Meng,et al.  A chance constrained programming model for short-term liner ship fleet planning problems , 2010 .

[2]  Qiang Meng,et al.  A novel modeling approach for the fleet deployment problem within a short-term planning horizon , 2010 .

[3]  Qingcheng Zeng,et al.  Robust optimization model for resource allocation of container shipping lines , 2010 .

[4]  Dong-Ping Song,et al.  Container fleet sizing and empty repositioning in liner shipping systems , 2009 .

[5]  Gin-Shuh Liang,et al.  Using fuzzy MCDM to select partners of strategic alliances for liner shipping , 2005, Inf. Sci..

[6]  Loo Hay Lee,et al.  An approximate dynamic programming approach for the empty container allocation problem , 2007 .

[7]  Jaume Barceló,et al.  A simulation study of the fleet sizing problem arising in offshore anchor handling operations , 2010, Eur. J. Oper. Res..

[8]  Photis M. Panayides,et al.  Strategic alliances in container liner shipping , 2011 .

[9]  Özlem Ergun,et al.  Network Design and Allocation Mechanisms for Carrier Alliances in Liner Shipping , 2010, Oper. Res..

[10]  Chia-Hui Chang,et al.  Optimal Slot Allocation in Intra-Asia Service for Liner Shipping Companies , 2008 .

[11]  Wei-Ming Wu,et al.  An approach for measuring the optimal fleet capacity: Evidence from the container shipping lines in Taiwan , 2009 .

[12]  Peter Lai,et al.  SLOT EXCHANGE AND PURCHASE PLANNING OF SHORT SEA SERVICES FOR LINER CARRIERS , 2010 .

[13]  Kin Keung Lai,et al.  Empty container management in a port with long-run average criterion , 2004, Math. Comput. Model..

[14]  Akio Imai,et al.  The container shipping network design problem with empty container repositioning , 2007 .

[15]  Peng-Sheng You,et al.  An efficient computational approach for railway booking problems , 2008, Eur. J. Oper. Res..

[16]  Nima Safaei,et al.  A genetic algorithm to solve the storage space allocation problem in a container terminal , 2009, Comput. Ind. Eng..

[17]  Stefan Nickel,et al.  Liner Shipping Hub Network Design in a Competitive Environment , 2010 .

[18]  Shuai Zhang,et al.  A new manufacturing resource allocation method for supply chain optimization using extended genetic algorithm , 2011 .

[19]  Konstantinos G. Zografos,et al.  Airport Slot Allocation: From Instruments to Strategies , 2006 .

[20]  Richard J. Linn,et al.  Storage space allocation in container terminals , 2003 .

[21]  G. Tzeng,et al.  An optimal containership slot allocation for liner shipping revenue management , 2004 .

[22]  Ching-Wu Chu,et al.  SEASONAL SLOT ALLOCATION PLANNING FOR A CONTAINER LINER SHIPPING SERVICE , 2010 .