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The purpose of this paper is to propose a new approach robust system optimal signal control model; a supply-side within day operational transportation model where future transportation demand is assumed to be uncertain.
Eskigun et al. (2005) modeled a supply chain network design and proposed Lagrangian heuristic method to obtain strategic decision of the model.
In this work, a discrete time series model of a supply chain system is derived using material balances and information flow.
Darwish and Odah (2010) developed a model for a supply chain with a single vendor and multiple retailers under the VMI mode of operation.
Sadeghi et al. (2014) presented a multi-objective combinatorial optimization model of a supply chain problem including one-vendor multi-retailers considering a vendor-managed inventory approach.
Thangam ([2012]) developed a two-level trade credit financing model for a supply chain with deteriorating items and advance payment scheme.
As a bonus, the model delivers a supply of selected S2 lines for further inbreeding and selection.
In this model, a utility supply network exists in a huge petrochemical industry while a biogas supply network consists of a wastewater treatment plant and anaerobic digestion.
To evaluate the model, a drug supply chain design (SCN) is studied.
The proposed modelling framework is based on the adoption of three different models (Fig. 1): a Supply Model; a Travel Demand Model; a Service Simulation Model.
Alaei et al. (2014) studied four non-cooperative models in a supply chain with a manufacturer and two identical retailers.
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