Calls for papers

 

International Journal of Enterprise Network Management

 

Special Issue on: "Data Analytics Techniques and Heuristics for Complex Supply Chain Network Problems"

Guest Editors:
Dr. K. Ganesh, Tata Consultancy Services Limited, Mumbai
Mr. S.P. Anbuudayasankar, Amrita University, Coimbatore, India

A continuous quest for improved performance is the linchpin of success in many best-in-class organisations. These organisations exhibit proven ability to strive and excel in all spheres of activities. These activities cut across all the organisation’s functions and processes stretching from sourcing to customer service. Otherwise known as the supply chain, “excellent design and efficient execution of these activities and processes” charts a company’s success. We need breakthrough success enabled through efficient supply chain processes. There is a need for designing, modelling and executing the various supply chain problems and processes.

Facilitating the transformation process from data to information to knowledge is a supreme concern for every organisation. Many organisations are being swamped with data and volumes of contradictory information, but with limited real usable knowledge. Statisticians focus on data accuracy, database administrators emphasise data completeness and operational researchers target optimisation. But the integration of the above is missing. So, current isolated islands of data analysis and optimisation techniques should be connected and an integrated and systematic union of data analytics and optimisation techniques for modelling supply chain problems is a current need.

The integration of data analytics and optimisation techniques can be used to assist decision-makers at all management levels:

• Strategic management: sourcing decisions, site feasibility analysis and supply chain network design
• Tactical management: design of vendor-managed inventory, collaborative forecasting and replenishment, transportation planning
• Operational management: routing of products and vehicles, organisation of returns and services

Subject Coverage
We invite papers on cutting-edge research that address various significant supply chain and logistics issues, which include but are not limited to:

• Modelling systems which employ optimisation techniques in order to provide decision support for
• strategic network planning
• demand, forecast and inventory planning and
• transport planning

• Data analytics techniques which may include
• Multivariate analysis
• Multicriteria decision analysis and
• Data mining

• Optimisation techniques which may include
• Heuristics and
• Metaheuristics
• Combination of the above

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

Submission of full paper: 30 September, 2009

Feedback from referees: 30 October, 2009

Submission due date of revised paper: 15 November, 2009

Notification of acceptance: 1 December, 2009

Submission of final revised paper: 15 December, 2009