Skip to Main content Skip to Navigation
Conference papers

Disruption Management Optimization for Military Logistics

A. Kaddoussi 1 H. Zgaya 2 S. Hammadi 1 F. Bretaudeau
LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
Abstract : To ensure long-term competitiveness, companies try to maintain a high level of agility, flexibility and responsiveness. In many domains, hierarchical SCs are considered as dynamic systems that deal with many perturbations. In this paper, we handle a specific type of supply chain: a Crisis Management Supply Chain (CMSC). Supply during peacetime can be managed by proactive logistics plans and classic supply chain management techniques to guaranty the availability of required needs. However, in case of perturbations (time of war, natural disasters...) the need for support increases dramatically and logistics plans need to be adjusted rapidly. Subjective variables like risk, uncertainty and vulnerability will be used in conjunction with objective variables such as inventory levels, delivery times and financial loss to determine preferred courses of action.
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download
Contributor : Wided Chandoul <>
Submitted on : Wednesday, August 2, 2017 - 4:33:42 PM
Last modification on : Friday, October 23, 2020 - 4:38:05 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



A. Kaddoussi, H. Zgaya, S. Hammadi, F. Bretaudeau. Disruption Management Optimization for Military Logistics. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.61-66, ⟨10.1007/978-3-642-23960-1_8⟩. ⟨hal-00716059⟩



Record views


Files downloads