A Joint Location - Inventory Model

By Zuo-Jun Max Shen, Collette R. Coullard, Mark S. Daskin. Transportation Science, 2003

712 citations recorded by the source corpus.

Subfields: Building and Construction, Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/546020fd1db1851928120401b66230b298bfe652

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Citations in the corpus

A multi-commodity supply chain design problem (2005, methodology): “It is easy to see that: Ṽ j = ∑ l∈L Ṽ jl A problem similar to (Pl(j)) has been studied by Shen et al. (2003) and Geunes et al. (2004) where Gjl takes the form of a square-root function.”
An integrated supply chain problem with environmental considerations (2015, background): “[12] and Kaijun et al.”
Facility location and supply chain management - A review (2009, background): “Single layer Single location layer Single commodity [6,7,22,72,79,109,118,123,126,134,138] [17,42,67,69,108,110,117] [12,13,27,76,84]”
Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case (2013, neutral): “demand-side uncertainty (Daskin et al., 2002; Shen and Qi, 2006; Shen and Daskin, 2005; Shu et al., 2005; Shen et al., 2003; Salema et al., 2007; Tsiakis et al., 2001; Leung et al., 2007; Romeijn et al., 2007; Pan and Nagi, 2010; Cardona-Valdés et al., 2011).”
Optimization models for the dynamic facility location and allocation problem (2008, background): “Furthermore, regarding the integration of tactical decisions in the distribution network design problem, Shen et al. (2003) propose a joint location–inventory model that incorporates demand uncertainty and focuses on minimizing the facility location costs, the inventory management costs, and the…”
Planning for Disruptions in Supply Chain Networks (2006, background): “[85], which account for the cost of cycle and safety stock.”
Stochastic p-robust location problems (2006, methodology): “Finally, we note that [39] applies the stochastic p-robustness measure to the location model with riskpooling (LMRP; [16,35]), a recent supply chain design model that is based on the UFLP but incorporates risk-pooling effects and economies of scale in inventory costs.”
An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results (2002, methodology): “The interested reader is referred to [ 32 ] or [31].”
The stochastic location model with risk pooling (2007, methodology): “Each time we solve (SLR), we use the current solution (X̂, Ŷ ) to obtain a feasible solution to (SLMRP) using a greedy procedure, as follows.”
Location-routing: Issues, models and methods (2007, background): “, 2003), (e) the inventory-location problem (Daskin et al., 2002; Shen et al., 2003; Drezner et al., 2003) and (f) the location-scheduling problem (Hennes and Hamacher, in press).”