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Brandon McConnell

Brandon McConnell

North Carolina State University · Industrial and Systems Engineering

Active 2016–2025

h-index4
Citations56
Papers4435 last 5y
Funding—

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About

Brandon McConnell is the Director of MEM and an Associate Research Professor at NC State's Edward P. Fitts Department of Industrial and Systems Engineering. His research focus includes areas related to manufacturing, systems, and engineering processes. As a faculty member, he contributes to the department's mission of advancing industrial engineering through research and education.

Research topics

  • Computer Science
  • Computer Security
  • Engineering
  • Operations management
  • Operations research
  • Artificial Intelligence
  • Economics
  • Political Science
  • Aeronautics
  • Business

Selected publications

  • Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study

    Health Systems · 2020 · 21 citations

    Over the last decade, chemotherapy treatments have dramatically shifted to outpatient services such that nearly 90% of all infusions are now administered outpatient. This shift has challenged oncology clinics to make chemotherapy treatment as widely available as possible while attempting to treat all patients within a fixed period of time. Historical data from a Veterans Affairs chemotherapy clinic in the United States and staff input informed a discrete event simulation model of the clinic. The…

  • Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand

    Journal of Defense Analytics and Logistics · 2021 · 10 citations

    Purpose The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns. Design/methodology/approach This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies…

  • Modeling and transportation planning for US noncombatant evacuation operations in South Korea

    Journal of Defense Analytics and Logistics · 2020 · 5 citations

    Purpose The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions. Design/methodology/approach It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity a…

  • Implementing trades of the National Football League Draft on blockchain smart contracts

    International Journal of Sports Marketing and Sponsorship · 2024-01-12 · 4 citations

    article

    Purpose Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts. Design/methodology/approach Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results. Findings The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.…

  • Two-stage stochastic programming model of US Army aviation allocation of utility helicopters to task forces

    The Journal of Defense Modeling and Simulation Applications Methodology Technology · 2023 · 3 citations

    US Army aviation units often organize into task forces to meet mission requirements. The manner in which they allocate assets affects their long-term capabilities to provide aviation support. We propose a model to allocate utility helicopters across geographically separated task forces to minimize the total time of flight and unsupported air movement air mission requests (AMRs) by priority level. We model the allocation problem with a two-stage stochastic program, with the first-stage problem al…

Frequent coauthors

Education

  • PhD, Operations Research, Operations Research Graduate Program

    North Carolina State University

    2018
  • Master of Operations Research (MOR), Operations Research Graduate Program

    North Carolina State University

    2015
  • Operations Research (BS), Department of Mathematical Sciences

    United States Military Academy

    2006

Awards & honors

  • Richard H. Barchi Prize for Best Paper, Military Operations…
  • Award for Excellence in Classroom Teaching, NC State Univers…
  • ISE Outstanding Teaching Assistant Award, NC State ISE Depar…
  • Edward A. Shook Mentor Award, NC State ISE Department (2018)
  • Recognition for Excellence in Mentorship, NC State Universit…

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