id: 05845117
dt: a
an: 05845117
au: Tsadikovich, Dmitry; Levner, Eugene; Tell, Hanan
ti: AI-based integrated scheduling of production and transportation operations
    within military supply chains.
so: Sidorov, Grigori (ed.) et al., Advances in artificial intelligence. 9th
    Mexican international conference on artificial intelligence, MICAI
    2010, Pachuca, Mexico, November 8‒13, 2010. Proceedings, Part I.
    Berlin: Springer (ISBN 978-3-642-16760-7/pbk). Lecture Notes in
    Computer Science 6437. Lecture Notes in Artificial Intelligence,
    209-220 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: Planning and scheduling; military supply chain; supply chain management;
    AI-based heuristic search; simulation
ci: 
li: doi:10.1007/978-3-642-16761-4_19
ab: Summary: Maintaining the military weapon systems requires that spare parts
    of military equipment are available where and when they are needed. We
    focus on integrated demand-responsive scheduling of operations within
    two-echelon military supply chains consisting of production and
    transportation operations. Integration across these operations is
    achieved by introducing an additional intermediary module into the
    mathematical model which is solved by a new two-level
    artificial-intelligence (AI)-based algorithm. In order to carry out
    this task we introduce and analyze two performance measures: time of
    response and military effectiveness. A new solution method based on
    integer programming techniques in combination with AI-based heuristic
    search is derived. The discrete-event simulation tool ‒ ARENA 11.0,
    is used to implement the integrated scheduling method.
rv: