Assessing the vulnerability of military theater distribution routes

Muckensturm, Joshua R.; Longhorn, Dave C.

doi:10.1108/jdal-07-2018-0012

Cited by 3 publications

(2 citation statements)

References 25 publications

(28 reference statements)

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“…Matisziw et al (2009) also explore network resilience by exploring SCN vulnerability through the simulation of disruptions. Similarly, Muckensturm and Longhorn (2019) assess military theater distribution vulnerability via an NP-hard graph problem which they solve heuristically.…”

Section: Supply Chain Efficiencymentioning

confidence: 99%

Developing a resilient, robust and efficient supply network in Africa

Preston

Cox

Rebeiz³

et al. 2021

JDAL

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PurposeSupply chains need to balance competing objectives; in addition to efficiency, supply chains need to be resilient to adversarial and environmental interference and robust to uncertainties in long-term demand. Significant research has been conducted designing efficient supply chains and recent research has focused on resilient supply chain design. However, the integration of resilient and robust supply chain design is less well studied. The purpose of the paper is to include resilience and robustness into supply chain design.Design/methodology/approachThe paper develops a method to include resilience and robustness into supply chain design. Using the region of West Africa, which is plagued with persisting logistical issues, the authors develop a regional risk assessment framework and then apply categorical risk to the countries of West Africa using publicly available data. A scenario reduction technique is used to focus on the highest risk scenarios for the model to be tractable. Next, the authors develop a mathematical model leveraging this framework to design a resilient supply network that minimizes cost while ensuring the network functions following a disruption. Finally, the authors examine the network's robustness to demand uncertainty via several plausible emergency scenarios.FindingsThe authors provide optimal sets of transshipment hubs with varying counts from 5 through 15 hubs. The authors determine there is no feasible solution that uses only five transshipment hubs. The authors' findings reinforce those seven transshipment hubs – the solution currently employed in West Africa – is the cheapest architecture to achieve resilience and robustness. Additionally, for each set of feasibility transshipment hubs, the authors provide connections between hubs and demand spokes.Originality/valueWhile, at the time of this research, three other manuscripts incorporated both resilience and robustness of the authors' research unique solved the problem as a network flow instead of as a set covering problem. Additionally, the authors establish a novel risk framework to guide the required amount of redundancy, and finally the out research proposes a scenario reduction heuristic to allow tractable exploration of 512 possible demand scenarios.

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Section: Supply Chain Efficiencymentioning

confidence: 99%

Developing a resilient, robust and efficient supply network in Africa

Preston

Cox

Rebeiz³

et al. 2021

JDAL

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“…Mixed integer programming (MIP) has been used to analyze theater-level distribution of supplies (Hill and Pohl, 2010;Longhorn and Muckensturm, 2019;Muckensturm and Longhorn, 2019). In addition, MIP can support analytical modeling of the force design of army logistics units (Connors and Ewing, 2017;Salgado, 2016), which is particularly important as the army transitions to a greater focus on large-scale combat operations (Sweeney, 2019).…”

Section: Introductionmentioning

confidence: 99%

A framework for optimizing sustainment logistics for a US Army infantry brigade combat team

Reich

Lewis

Winkler³

et al. 2020

JDAL

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Purpose The purpose of this paper is to help optimize sustainment logistics for US Army brigade combat teams, which may face challenges in transporting their assigned assets. Design/methodology/approach This paper develops a simulation framework with an integrated integer programming optimization model. The integer-programming model optimizes sustainment outcomes of supported battalions on a daily basis, whereas the simulation framework analyzes risk associated with shortfalls that may arise over the entire duration of a conflict. Findings This work presents a scenario reflecting the steady resupply of an infantry brigade combat team during combat operations and presents an in-depth risk analysis for possible fleet compositions. Originality/value The risk curves obtained allow decision-makers and commanders to optimize vehicle fleet design in advance of a conflict.

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