Complex and lean or lean and complex? The role of supply chain complexity in lean production
Rossetti, C. L., Warsing, D. P., Flynn, B. B., & Bozarth, C. C. (2023, April 5). OPERATIONS MANAGEMENT RESEARCH, Vol. 4.
2022 journal article
Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies
2016 conference paper
Toward a normative approach for forensicability
Symposium and Bootcamp on the Science of Security, 65–67.
Introduction to operations and supply chain management
2009 journal article
The impact of supply chain complexity on manufacturing plant performance
JOURNAL OF OPERATIONS MANAGEMENT, 27(1), 78–93.
Introduction to operations and supply chain management (2nd ed.)
Upper Saddle River, N. J.: Pearson Prentice Hall.
2007 journal article
Following the thread: Industry cluster theory, the New England cotton textiles industry, and implications for future supply chain research
PRODUCTION AND OPERATIONS MANAGEMENT, 16(1), 154–157.
2006 journal article
Analyzing the impact of space utilization and production planning on plant space requirements - A case study and methodology
International Journal of Industrial Engineering, 13(1), 81–89.
2006 journal article
ERP implementation efforts at three firms - Integrating lessons from the SISP and IT-enabled change literature
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 26(11-12), 1223–1239.
2001 journal article
A longitudinal study of the impact of market requirements focus on manufacturing performance
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 39(14), 3237–3252.
Configurations in operations: an emerging area of study
Boyer, K. K., Bozarth, C., & McDermott, C. (2000, November). JOURNAL OF OPERATIONS MANAGEMENT, Vol. 18, pp. 601–604.
2000 journal article
Measuring market-manufacturing congruence: Conceptual reaffirmations and mathematical modifications
Decision Sciences, 31(1), 233–241.
1998 journal article
Assessing the accuracy of manufacturing cost systems using operations-based segments
1997 journal article
Measuring the congruence between market requirements and manufacturing: A methodology and illustration
DECISION SCIENCES, 28(1), 121–150.