Optimizing empty container logistics based on a collaborative network approach

Current global production patterns have led to the emergence of systemic, chronic and structural trade imbalances between major trading regions. Increasing transportation led to a growth in the amount of full containers and subsequently to preceding and ensuing empty container movements. Empty container management is substantial to overcome the complex problem of empty container repositioning, storage and ownership conditions. Because of growing cost pressures and the continuous search for efficiency improvements, collaborative design approaches in the empty container management are becoming increasingly important. One approach is the joint use of containers by several container carriers and container leasing companies. Therefore, the aim of this article is to introduce a mathematical optimization approach, which optimizes container logistics networks and quantifies potential savings considering the establishment and operation of container pooling. It will be shown that positive economic effects can be generated by the implementation of container pooling, compared with non-cooperative behavior of container owners and leasing companies. In addition, port operators will be able to handle rising container volumes without major capacity adjustments. Further studies need to focus on practical implications of container pooling models and empirical evidence of the mathematical approach.

[1]  Teodor Gabriel Crainic,et al.  The Effect of Multi-Scenario Policies on Empty Container Repositioning under Uncertainty and Data Shortage , 2009 .

[2]  Xu Zhao,et al.  The study on empty containers allocation in the container transportation , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

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

[4]  Chuen-Yih Chen,et al.  A Two-Stage Stochastic Network Model and Solution Methods for the Dynamic Empty Container Allocation Problem , 1998, Transp. Sci..

[5]  Antonio Manca,et al.  An Operational Model for Empty Container Management , 2005 .

[6]  D. Song,et al.  Empty Container Management in Cyclic Shipping Routes , 2008 .

[7]  Erika Lopez,et al.  How do ocean carriers organize the empty containers reposition activity in the USA? , 2003 .

[8]  D. Song,et al.  Empty container repositioning in liner shipping , 2009 .

[9]  Petros A. Ioannou,et al.  Port dynamic empty container reuse , 2006 .

[10]  Ting L. Lei,et al.  Locating short-term empty-container storage facilities to support port operations: A user optimal approach , 2011 .

[11]  Nina Vojdani,et al.  Modellierung und Bewertung der maritimen Leercontainerlogistik unter Berücksichtigung des Container-Poolings , 2011 .

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

[13]  S. Theofanis,et al.  Empty marine container logistics: facts, issues and management strategies , 2009 .

[14]  Ke Liu,et al.  Allocation of empty containers between multi-ports , 2007, Eur. J. Oper. Res..

[15]  C. M. Khoong,et al.  A DSS for empty container distribution planning , 1995, Decis. Support Syst..

[16]  Petros A. Ioannou,et al.  A heuristic solution for the empty container substitution problem , 2008 .

[17]  George Liu,et al.  Profit Optimization for Container Carriers , 2007 .

[18]  Michel Gendreau,et al.  Dynamic and Stochastic Models for the Allocation of Empty Containers , 1993, Oper. Res..

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

[20]  Yu. M. Ermol'ev,et al.  Planning of shipping empty seaborne containers , 1976 .

[21]  Martin W. P. Savelsbergh,et al.  Global Intermodal Tank Container Management for the Chemical Industry , 2005 .