Reliability Models for Facility Location: The Expected Failure Cost Case

By Lawrence V. Snyder, Mark S. Daskin. Transportation Science, 2005

798 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/66291fc98d70e34b91711fe8567c182e5504378f

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In Control and Systems Engineering

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Citations in the corpus

Resilient and sustainable supply chain design: sustainability analysis under disruption risks (2018, background): “…2017; Sawik 2017); • contracting with backup suppliers/facilities to serve when the primary suppliers/facilities are not available in disruptions (e.g. Snyder and Daskin 2005; Aryanezhad, Jalali, and Jabbarzadeh 2010; Hou, Zeng, and Zhao 2010; Jabbarzadeh et al. 2012; Fang et al. 2013;…”
Reliable Facility Location Design Under the Risk of Disruptions (2010, methodology): “Snyder and Daskin (37) suggested that locating facilities in the capitals of CA, NY, TX, PA, OH, AL, OR, and IA (Figure 2) is a more reliable solution.”
Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience (2018, positive): “Beginning with the study by Snyder and Daskin (2005) and continued by Lim et al. (2010), Peng et al. (2011), and Li et al. (2013), those mixed-integer optimization models develop according to a scenario-based approach with probabilities of facility disruption.”
A bilevel mixed-integer program for critical infrastructure protection planning (2008, background): “Keywords: Bilevel programming; Protection models; Median location problems”
Facility Reliability Issues in Network p-Median Problems: Strategic Centralization and Co-Location Effects (2007, methodology): “As noted in the introduction, the formulation above is quite similar to the formulations of the RFMP and RFLP models in Snyder and Daskin (2005). While the ability to formulate the uniform MPUF prob lem as a linear integer program is certainly useful, the for mulation IP1 above does have several sho”
The recoverable robust facility location problem (2015, background): “More recent references to Facility Location under uncertainty include [45, 7, 46, 19, 43, 2, 1, 25, 4, 3, 26] and [34].”
Integrated supply chain design models: a survey and future research directions (2007, background): “Unlike the traditional facility location models that implicitly assume the facilities will never fail, Snyder and Daskin [ 75 ] propose location models in which facilities do fail from time to time due to poor weather, disasters, changes of ownership, or”
Ripple effect in the supply chain: an analysis and recent literature (2018, neutral): “Snyder and Daskin (2005) et al. (2017).”
Optimization models for the dynamic facility location and allocation problem (2008, neutral): “stochastic availability of logistic facilities (Lawrence and Daskin 2005 ).”
Advancements in continuous approximation models for logistics and transportation systems: 1996–2016 (2017, methodology): “…with stochastic demand (Daskin, 1982, 1983; Batta et al., 1989; Dasci & Laporte, 2005b) and unreliable facility services(Church & ReVelle, 1974; Snyder & Daskin, 2005; Qi & Shen, 2007; Berman et al., 2007; Qi et al., 2009; Cui et al., 2010; Lim et al., 2010; Chen et al., 2011; Li & Ouyang,…”
Literature review on disruption recovery in the supply chain* (2017, methodology): “Mixed-integer programming (MIP) has been extensively applied to SCD beginning with the seminal study by Snyder and Daskin (2005).”