Supply chain configuration parameters

The supply chain configuration problem solving allows to define scope of the given supply chain system. The scope is defined along multiple dimensions, namely, horizontal extent, vertical extent, objectives and criteria, decisions made, and parameters. 

Parameters are traditiOTially classified as internal and external. External variables for the supply chain configuration problem are customer demand and requirements in general, taxes, governmental regulations, and others. 

A data model is derived from the conceptual model to serve as the basis for data integration. The data model defines all objects, parameters, and costs relevant to the specific supply chain configuration problem. Values are assigned to these... 

The model implicitly assumes that greenfield supply chain configuration is performed and there are no fixed supply chain units or links. In the case of supply chain reconfiguration, additirmal constraints are imposed to represent the reconfiguration optirais. If a unit or fink is indicated as design time selection, then constraints (8.13) and (8.15)-(8.16) are not changed. If a unit or link is indicated as fixed, then the corresponding cmistraints are set equal to one (i.e., the decisimi variable becomes a parameter). 

Many of the stochastic programming models developed for supply chain configuration have demand as a stochastic parameter. Demand uncertainty usually is represented by multiple demand scenarios (Mirhassani et al. 2000 Tsiakis et al. 2001). In this case, a prototype objective function can be expressed as... 

Supply chain configuration is considered as a fixed input parameter. Configurations are evaluated under numerous scenarios describing supply chain external and internal characteristics. 

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