Dr. Arcan Nalca

Associate Professor

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Biography

Arcan Nalca is an Associate Professor at Queen’s University, specializing in supply chain management, analytics, and operations management. He completed his PhD in Operations Management at the Desautels Faculty of Management, McGill University, Montreal. His primary research interests focus on supply chain modeling, analyzing market dynamics, competition, and demand uncertainty. He is particularly involved in operational strategies within manufacturing and retail sectors. Dr. Nalca teaches various courses, including Mathematical Analysis, Introduction to Operations Management, and Supply Chain Analytics, at both the undergraduate and graduate levels. His research has been published in reputable journals such as the Production and Operations Management Journal and the European Journal of Operational Research. Additionally, he has contributed to numerous conference proceedings related to operations management and marketing strategies. Dr. Nalca has received several awards for his research efforts, including the IVADO Data-driven Demand Learning Scholarship and D.I. McLeod Term Research Assistantship. Furthermore, he is an active member of professional organizations, including the Institute for Operations Research and the Management Sciences and the Production Operations Management Society.

Research Interests

Experience

Associate Professor

2013-01-01 — Present

Queen's University • Kingston, ON

Teaching and research in operations management and supply chain analytics.

Instructor

2007-01-01 — 2010-01-01

McGill University • Montreal, QC

Taught operational management courses in BCom Program.

Awards

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IVADO Data-driven Demand Learning Scholarship

2020-01-01
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Queen’s School of Business General Research Grant Competition

2013-01-01
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Frank Knox Award for Excellence in Teaching

2014-01-01

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.