INCORPORATING INVENTORY CONTROL DECISIONS INTO A STRATEGIC DISTRIBUTION NETWORK DESIGN MODEL WITH STOCHASTIC DEMAND

335 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimization models for the dynamic facility location and allocation problem (2008, methodology): “More recently, Miranda and Garrido (2004) have developed a model to find the optimal configuration of a distribution network which also considers the inventory control decisions and the risk pooling effect.”
A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, background): “SC, PC*, DisC* Ca, D, UCF, MP, En, SPr MILP L, TA C, Ro Exact (small sizes) Jayaraman and Pirkul [25] SC, PC*, DisC* Ca, D, UCF, MP, En, SPr MILP L, TA C LR-based heuristic Dasci and Verter [17] PC* UC, D, UCF, SP, En, SPr CA L, SR C Exact (continuous) Syarif et al. [26] SC, PC*, DisC* Ca, D, UCF, S”
A three level location-inventory problem with correlated demand (2014, methodology): “In this paper, we adopted the optimal order quantity and reorder level of (r, Q) based on the classical economic order quantity approximation method which has been extensively used in location problems inventory (e.g., Daskin et al., 2002; Shen et al., 2003; Miranda and Garrido, 2004).”
Facility location and supply chain management - A review (2009, background): “Multi-layer models are restricted to two types of facilities and only the intermediate layer is subject to location decisions (see [25,33,86,112]).”