Calls for papers

 

International Journal of Risk Assessment and Management

 

Special Issue on: "Minimising Logistics Risk Through Artificial Intelligence and Data Mining Technologies"

Guest Editor:
Dr. Henry C.W. Lau, The Hong Kong Polytechnic University, Hong Kong

In this rapidly changing and volatile world, reliability of logistics operations should be considered up-front to reduce the cost of rework. Application of artificial intelligence and data mining technologies can be used to perform the feasibility evaluation, identify potential logistics risks and provide guidance for risk reduction.

This special issue on logistics risk management invites the submission of full length and short correspondence papers. It will embrace the latest research and application of different artificial intelligence and data mining technologies on logistics risk management. It will include the latest research results and efforts at different levels including logistics risk assessment, logistics planning and process reengineering. Prospective papers should be unpublished and present novel, fundamental research offering innovative contributions either from a methodological or an application perspective.

Subject Coverage
Topics of interests include, but are not limited to:

• Logistics risk management in supply networks
• Logistics risk assessment
• Managing logistics risk in global procurement
• Reliable logistics planning
• Application of artificial intelligence and data mining technologies in logistics risk reduction

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Paper submission by prospective authors : 30 July 2007

Communication of results of peer review to authors : 30 September 2007

Final manuscript submission : 30 November 2007