Distribution Center Location Scenarios

The basic facility location and site selection planning scenarios within the project scope were  

Continue to meet growth needs with use of outside space and shuttles between the central distribution center and the outside leased and public facilities. 

Keep the existing facility and establish a second DC location. 

The Southern California and Mexico stores were within the project s scope. 

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The SNP model contains all relevant locations, i.e., production plants and distribution centers, in the supply network. The cross-locational sourcing aspect of the planning scenario is handled within the master planning process. SNP determines which of the plants produces which quantities of which products in which time periods. On a rough level, SNP also determines which production alternative is used at a specific plant, for instance with regard to ingredients and general process characteristics. 

Returning to the J M Distributors scenario we consider in Examples 3.5 through 3.7, let us assume that J M, at the suggestion of its supplier, moves to semi-weekly reviews of inventory. This allows J M to limit its order placements to only Monday and Thursday each week, allowing the supjplier of WaUShaker speaker systems to coordinate its orders with those of other customers located near J M s distribution center in Nashville, TN. Since this can save freight costs for the supplier, they have agreed to reduce J M s unit price by 3%, to c = 97. 

Abstract This chapter presents a stochastic optimization model for disaster management planning. In particular, the focus is on the integrated decisions about the distribution of relief supplies and evacuation operations. The proposed decisionmaking approach recommends the best relief distribution centers to use as storage locations and determines their optimal inventory levels. The model also incorporates the priorities for the evacuation of particular communities, as well as specific disaster scenarios with estimates of the transportation needs and demand for aid. A case study is presented to determine the distribution of aid for a flood emergency in Thailand that uses a flood hazard map. 

One of the immediate applications of this model is to simulate advection and dispersion of contaminants in soil columns with low permeability and strong retention mechanisms. In these cases, the contaminant would not be expected to travel to the lowest layers of the soil profile very soon. In this chapter, results from two common contaminant-input conceptualizations were simulated. The first scenario consisted of a localized contaminant load (point source) located at the center of the topsoil column layer (point-source contaminant inputs may simulate localized leakages of chemicals on the surface of the earth). The second simulation consists of a linearly distributed contaminant load (line source) over the top surface of a soil column. Line sources are commonly used in groundwater contamination problems (e.g., see Mulligan and Ahlfeld, 2001). Additionally, a two-point source simulation is included for purposes of comparison. 

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