Calls for papers


International Journal of Inventory Research
International Journal of Inventory Research


Special Issue on: "Multi-Echelon Inventory Modelling"

Guest Editors:
Manuel D. Rossetti, University of Arkansas, USA
Yisha Xiang, Sun Yat-sen University, China
Yasin Ünlü, LLamasoft Inc., USA

Multi-echelon inventory systems consist of two or more echelons where locations at upper echelons act as suppliers to locations at lower echelons. Multi-echelon inventory systems form the backbone of retail supply chains, military weapon system resupply networks and spare part logistics systems.

Research on multi-echelon inventory systems has been an active area for decades and continues to mo-tivate innovative applications of operations research techniques. This special issue is interested in all aspects of multi-echelon inventory modelling: stochastic performance modelling, simulation, optimisation, heuristics, etc.

A key theme of the special issue is new methods for handling the computational issues related to the simulation and optimisation of large-scale multi-echelon inventory networks. In addition, methods for ap-proximating demand during lead time models and other stochastic processes within these systems are of interest.

Subject Coverage
Suitable topics include but are not limited to:

  • Demand modelling and forecasting methods within multi-echelon systems
  • Stochastic multi-echelon inventory network modelling
  • Approximations and bounds for performance modelling in multi-echelon inventory systems
  • Simulation methods for large-scale multi-echelon inventory networks
  • Optimisation methods for multi-echelon inventory networks
  • Innovative methods for handling large-scale multi-echelon systems such as grouping meth-ods, clustering, etc.
  • Comprehensive literature reviews of multi-echelon inventory system research
In summary, any paper involving one or more inventory issues is invited if it has as a focus on method-ologies or applications that appear within the management of multi-echelon logistics systems.

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process. Have a look at our Author guidelines and read our detailed information on Preparing articles.

You may send one copy in the form of an MS Word file attached to an email to the following:

Manuel D. Rossetti
Department Head
University of Arkansas
Department of Industrial Engineering
4207 Bell Engineering Center
Fayetteville, AR 72701
Tel: (479) 575-6756
Fax: (479) 575-8431

Important Dates

Submission deadline: 31 July, 2013