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Connections Among Optimization Models with Uncertainties, ABC and RBV

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Uncertainty Management in Simulation-Optimization of Complex Systems

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 59))

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Abstract

Optimization models (in particular, with uncertainties) and Activity Based Costing (ABC) and Resource Based View (RBV) of the firm theory are usually separated in theory and applications. We analyze the connections among them, with a focus on stochastic programming, showing how they can all be used as decision support instruments for strategic planning problems, especially concerning resources and services (or products). Such connections produce a multiplicative positive effect as we can use the potential of mathematical modeling with data from the ABC system and a taxonomy of resources from the RBV: the latter can also help us for the interpretation of results after applying stochastic (or mathematical) models and solution methods.

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Authors and Affiliations

  1. Dipartimento di Economia, Università degli Studi di Foggia, Largo Giovanni Paolo II, 1, 71100, Foggia, Italy

    Saverio Giuliani

  2. Dipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, Via E. Orabona, 4, 70125, Bari, Italy

    Carlo Meloni

  3. Istituto per le Applicazioni del Calcolo “Mauro Picone” - CNR, Via Giovanni Amendola 122/I, 70126, Bari, Italy

    Carlo Meloni

Authors
  1. Saverio Giuliani
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  2. Carlo Meloni
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Correspondence to Carlo Meloni .

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Editors and Affiliations

  1. Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche, Bari, Italy

    Gabriella Dellino

  2. Dipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, Bari, Italy

    Carlo Meloni

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Giuliani, S., Meloni, C. (2015). Connections Among Optimization Models with Uncertainties, ABC and RBV. In: Dellino, G., Meloni, C. (eds) Uncertainty Management in Simulation-Optimization of Complex Systems. Operations Research/Computer Science Interfaces Series, vol 59. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7547-8_6

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