Supply chain is an integrated system of facilities and activities. Gaining the optimum design of demand satisfaction network is one of the most important live issues in the decision making problems category. Most of previous studies considered unreal assumptions such as the lack of capacity constraints to satisfy demand in the network and in hubs. By considering the nature of the case that have...

OBJECTIVE Electronic health records (EHR) hold great promise for managing patient information in ways that improve healthcare delivery. Physicians differ, however, in their use of this health information technology (IT), and these differences are not well understood. The authors study the differences in individual physicians' EHR use patterns and identify perceptions of uncertainty as an import...

this paper empirically investigates the relationship between cpi inflation uncertainty, and private investment in the iranian economy from 1988 to 2010 by using quarterly data. we employ a bivariate var(5)-garch(1,1)-in-mean with diagonal bekk model to discover in a unified framework how are the interactions between the variables. in the model, conditional variance of inflation and private inve...

Inventory decisional environment of short life-cycle products is full of uncertainties arising from randomness and fuzziness of input parameters like customer demand requiring modeling under hybrid uncertainty. Prior inventory models incorporating fuzzy demand have unfortunately ignored stochastic variation of demand. This paper determines an unambiguous optimal order quantity from a set of n f...

Precision manufacturing of micro injection moulded (mIM) components presents challenges in terms of quality control due to the miniaturization of product dimensions and tolerances. This paper addresses product compliance with specifications, focusing on tolerances of dimensions and position on mIM components selected from industrial production. Two systems were analysed: a tactile coordinate me...

We present a numerical method to study convective heat transfer in a high Reynolds number incompressible flow around a cylinder subject to uncertain boundary conditions. We exploit the one-way coupling of the energy and momentum transport to derive a semi-intrusive uncertainty propagation scheme, which combines Galerkin and collocation approaches for computing approximate statistics of the stoc...

In Air Traffic Management (ATM) systems catastrophic events may be caused by error propagation in a multiagent procedure [SBdP03]. The inherent complexity of these systems typically involving many agents makes their analysis prohibitive today. We approach the analysis of multi–agent ATM systems using compositional hybrid systems techniques. Hybrid systems formalism is shown to capture the dynam...

Robust optimization (RO) is a tractable method to address uncertainty in optimization problems where uncertain parameters are modeled as belonging to uncertainty sets that are commonly polyhedral or ellipsoidal. The two most frequently described methods in the literature for solving RO problems are reformulation to a deterministic optimization problem or an iterative cutting-plane method. There...