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

Disruption Management Optimization for Military Logistics

A. Kaddoussi
  • Function : Author
  • PersonId : 936915
H. Zgaya
  • Function : Author
  • PersonId : 927307
S. Hammadi
F. Bretaudeau
  • Function : Author
  • PersonId : 936909

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.
Fichier principal
Vignette du fichier
978-3-642-23960-1_8_Chapter.pdf (230.45 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00716059 , version 1 (02-08-2017)

Licence

Identifiers

Cite

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⟩
350 View
341 Download

Altmetric

Share

More