Disruption Management Optimization for Military Logistics - Artificial Intelligence Applications and Innovations - Part II Access content directly
Conference Papers Year : 2011

Disruption Management Optimization for Military Logistics

A. Kaddoussi
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H. Zgaya
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S. Hammadi
F. Bretaudeau
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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.
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hal-00716059 , version 1 (02-08-2017)

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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⟩
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