Chemical supply chain modeling for analysis of homeland security events

Ehlen, Mark A.; Sun, Amy C.; Pepple, Mark A.; Eidson, Eric D.; Jones, Brian S.

doi:10.1016/j.compchemeng.2013.07.014

Chemical supply chain modeling for analysis of homeland security events

Journal Article · Fri Sep 06 00:00:00 EDT 2013 · Computers and Chemical Engineering

DOI:https://doi.org/10.1016/j.compchemeng.2013.07.014· OSTI ID:1333836

Ehlen, Mark A. ^[1]; Sun, Amy C. ^[1]; Pepple, Mark A. ^[1]; Eidson, Eric D. ^[1]; Jones, Brian S. ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

The potential impacts of man-made and natural disasters on chemical plants, complexes, and supply chains are of great importance to homeland security. To be able to estimate these impacts, we developed an agent-based chemical supply chain model that includes: chemical plants with enterprise operations such as purchasing, production scheduling, and inventories; merchant chemical markets, and multi-modal chemical shipments. Large-scale simulations of chemical-plant activities and supply chain interactions, running on desktop computers, are used to estimate the scope and duration of disruptive-event impacts, and overall system resilience, based on the extent to which individual chemical plants can adjust their internal operations (e.g., production mixes and levels) versus their external interactions (market sales and purchases, and transportation routes and modes). As a result, to illustrate how the model estimates the impacts of a hurricane disruption, a simple example model centered on 1,4-butanediol is presented.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1333836

Report Number(s):: SAND--2012-2956J; PII: S0098135413002342

Journal Information:: Computers and Chemical Engineering, Journal Name: Computers and Chemical Engineering Journal Issue: C Vol. 60; ISSN 0098-1354

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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29 ENERGY PLANNING, POLICY, AND ECONOMY
agent-based modeling
economic markets
linear programming
supply chain resilience
supply chains
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Chemical supply chain modeling for analysis of homeland security events

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References (29)

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