Designing Response Supply Chain against Bioattacks

39 Pages Posted: 31 Aug 2016 Last revised: 4 Apr 2019

See all articles by David Simchi-Levi

David Simchi-Levi

Massachusetts Institute of Technology (MIT) - School of Engineering

Nikolaos Trichakis

Massachusetts Institute of Technology (MIT)

Peter Yun Zhang

Massachusetts Institute of Technology (MIT)

Date Written: August 21, 2018

Abstract

We study a prescriptive model for end-to-end design of a supply chain for medical countermeasures (MCM) to defend against bioattacks. We model the defender's MCM inventory prepositioning and dispensing capacity installation decisions, attacker's move, and defender's adjustable shipment decisions, so as to minimize inventory and life loss costs, subject to population survivability targets. We explicitly account for the strategic interaction between defender's and attacker's actions, assuming information transparency. We consider the Affinely Adjustable Robust Counterpart (AARC) to our problem, which enables us to deal with realistic networks comprising millions of nodes. We provide theoretical backing to the AARC performance by proving its optimality under certain conditions. We conduct a high-fidelity case study on the design of a MCM supply chain with millions of nodes to guard against anthrax attacks in the United States. We calibrate our model using data from a wide variety of sources, including literature and field experiments. We produce policy insights that have been long sought after but elusive up until now.

Keywords: Bioterrorism, Supply Chain Design, Robust Optimization

Suggested Citation

Simchi-Levi, David and Trichakis, Nikolaos and Zhang, Peter Yun, Designing Response Supply Chain against Bioattacks (August 21, 2018). Available at SSRN: https://ssrn.com/abstract=2832329 or http://dx.doi.org/10.2139/ssrn.2832329

David Simchi-Levi

Massachusetts Institute of Technology (MIT) - School of Engineering ( email )

MA
United States

Nikolaos Trichakis

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Peter Yun Zhang (Contact Author)

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

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