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We consider the case of a single customer and extend the model to multiple customers.
We present a basic clustered relocation model and extend the model to minimize the distances of relocation.
Using a financial contingent claims approach, we investigate the basic nature of the model and extend the model to popular variants of the OCP in the industry.
We support and extend the model through stochastic simulation, and we use a spatially explicit cellular automaton approach to corroborate the results.
We revisit and extend the model by accounting for the effects of variable water content and sediment type on the impedance factor, and in turn, effective diffusion coefficient.
We demonstrate the efficiency of the model to predict accurately the attenuation in the frequencies for which it has been trained for, and to infer and extend the model obtained to new frequencies, e.g. 4G, while maintaining an overall low median error.
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In previous work, we developed a simplified model for the diffusion controlled bulk polymerization of methyl methacrylate and extended the model to capture the reaction under nanoconfinement.
This study presents a revised linear programming model for option portfolios with multiple underlying assets, and extends the model by incorporating it with a fuzzy goal programming method for considering minimum transaction lots.
Our future work will focus on analyzing the QoS parameters for synchronized protocols and extending the model to multihop networks.
This paper illustrates a case study of asymmetry from the point of view of bilateral asymmetry situated in a regional context and extends the model to triangular asymmetry in a global context.
Some researchers, for instance, Chang and Ho (2010), Eroglu and Ozdemir (2007), Hsu and Hsu (2013a, b), Rezaei (2005), Wee et al. (2007), considered shortage and backordered items in the model and extended the model according to these assumptions to make their model closer to the real world.
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