Keely Croxton

About

Keely Croxton is a Professor of Logistics in the Department of Marketing and Logistics at The Ohio State University. Her research interests are centered on supply chain management, with a particular focus on supply chain resilience, demand management, and relationship management. She has developed expertise in helping companies balance inherent vulnerabilities with management capabilities to effectively respond to disruptions in the supply chain. Her work aims to further develop process-oriented frameworks for supply chain management. She has been recognized for her scholarly contributions, with her research published in several leading journals and receiving awards such as the Bernard J. LaLonde Best Paper Award for the Journal of Business Logistics. Croxton holds a Ph.D. from the Massachusetts Institute of Technology (MIT) and an undergraduate degree from Northwestern University. Before her academic career, she gained industry experience working in automotive, paper and packaging, and third-party logistics sectors. At Ohio State, she teaches courses on modeling, forecasting, and supply chain management at various academic levels, including undergraduate, MBA, Ph.D., and Executive Education, and also teaches Social Impact to MBA students. She serves on the advisory board of OSU’s Global Water Initiative.

Research topics

• Marketing
• Industrial organization
• Business
• Political Science
• Computer Science
• Engineering
• Transport engineering
• Process management

Selected publications

• ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORK

  Journal of Business Logistics · 2010-03-01 · 1380 citations

  articleSenior author

  The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Air Force, the Department of Defense, or the U.S. Government. In a world of turbulent change, resilience is a key competency since even the most carefully designed supply chain is susceptible to unforeseen events. This article presents a new Supply Chain Resilience Framework to help businesses deal with change. The conceptual framework is based on extant literature a…

  PublisherDOI

• Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool

  Journal of Business Logistics · 2013-03-01 · 1031 citations

  article

  In today's tightly connected global economy, traditional management practices that rely on “steady‐state” conditions are challenged by chaotic external pressures and turbulent change. Just in the last few years, the world has experienced a string of catastrophic events, including a global economic meltdown, a volcanic eruption in Iceland, an oil spill in the Gulf of Mexico, a disastrous tsunami and power blackout in Japan, and political upheavals in Africa and the Middle East. Managing the risk…

  PublisherDOI

• The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience

  Journal of Business Logistics · 2019-03-01 · 718 citations

  article

  We opened our 2010 paper in the Journal of Business Logistics with a 6th century quote by Heraclitus – “The only constant is change.” This immutable law certainly holds in today's volatile business world, especially for supply chain management, and has been the driving factor behind the interest in resilience. Since the seminal works of the mid‐to‐late 1990s and early 2000s, the supply chain discipline has progressed toward a common understanding of resilience. But we're not there yet. This pape…

  PublisherDOI

• AN EVALUATION OF PROCESS-ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

  Journal of Business Logistics · 2005-03-01 · 431 citations

  articleSenior author

  Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process-oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply-Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.

  PublisherDOI

• A Comparison of Mixed-Integer Programming Models for Nonconvex Piecewise Linear Cost Minimization Problems

  Management Science · 2003-09-01 · 203 citations

  articleOpen access1st authorCorresponding

  We study a generic minimization problem with separable nonconvex piecewise linear costs, showing that the linear programming (LP) relaxation of three textbook mixed-integer programming formulations each approximates the cost function by its lower convex envelope. We also show a relationship between this result and classical Lagrangian duality theory.

  PublisherOA PDFDOI

Frequent coauthors

• A. Michael Knemeyer

  Fisher College

  9 shared

• Bernard Gendron

  8 shared

• Walter Zinn

  The Ohio State University

  7 shared

• Thomas L. Magnanti

  Singapore University of Technology and Design

  6 shared

• Sebastián J. García‐Dastugue

  6 shared

• Douglas M. Lambert

  6 shared

• Joseph Fiksel

  The Ohio State University

  5 shared

• Timothy J. Pettit

  National University System

  5 shared

Education

• Ph.D., Operations Research Center

  Massachusetts Institute of Technology (MIT)

  1999

• Bachelor of Science, Industrial Engineering

  Northwestern University

  1992

Awards & honors

• Bernard J. LaLonde Best Paper Award

Similar researchers at Ohio State University

• Greg Allenbyh-50
• Douglas M. Lamberth-48