C.A.s.S.a.n.D.r.A: Computerized Analysis for Supply ChAiN DistRibution Activity

Laura Di Giacomo (), Ettore Di Lena (), Giacomo Patrizi (), Livia Pomaranzi () and Federico Sensi ()
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Laura Di Giacomo: École Polytechnique
Ettore Di Lena: Ente Nazionale Energia Elettrica
Giacomo Patrizi: Università di Roma
Livia Pomaranzi: Chefaro Pharma Italia
Federico Sensi: Enprovia Software Engineering

Chapter 5 in Innovations in Distribution Logistics, 2009, pp 69-88 from Springer

Abstract: Summary Supply Chain Management (SCM) is an important activity in all producing organizations. To determine efficient policies over a given time interval, it is necessary to consider a simultaneous dynamic estimation and optimization algorithm over the disposable data base. The aim of this paper is to present the Data Driven algorithm, describe its implementation and show through some preliminary applications its potential advantages. To ensure that Certainty Equivalent optimal policies prevail this aspect will be analyzed.

Keywords: Optimal Policy; Supply Chain Management; Multiple Experiment; Certainty Equivalent; Post Solution (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-3-540-92944-4_5

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