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Saligrama Agnihothri

Professor of Supply Chain and Business Analytics, Binghamton University, State University of New York

Saligrama Agnihothri is a Professor of Supply Chain and Business Analytics in the School of Management at Binghamton University. Professor Agnihothri holds B.Sc. in Mathematics and M.Sc. in Statistics from Karnatak University, Dharwad, India, and M.S. in Operations Research and Ph.D. in Operations Management from the University of Rochester. His research interests include improving efficiency and quality in healthcare operations, managing field service operations, and process flexibility and cross-training decisions in services. Professor Agnihothri has published in leading Operations Management journals including Operations Research, Production and Operations management, Health Care Management Science, Journal of Hypertension, IIE Transactions, Naval Research Logistics, Decision Sciences, Interfaces, and Management Decision. He was an Associate Editor of Management Science, the leading journal in his area, for eight years and is currently in the editorial board of Production and Operations Management journal. He has developed and taught many courses in the area of Supply Chain and Business Analytics for academics and executives including Business Analytics, Decision Modeling and Risk Analysis, Operations Management, Supply Chain Management, Healthcare Analytics, Six Sigma and Continuous Improvement, Managing Service Operations, and Managing Design for Quality. He was awarded the School of Management Corning Glass Innovation and Research Award. He was also awarded Graduate Management Award for Excellence in Teaching by MBA students multiple times.

Experience

  • 1983–present
    Professor of Supply Chain and Business Analytics, School of Management, Binghamton University, SUNY

Education

  •  
    Karnatak University, Dharwad, India, M.Sc. in Statistics
  •  
    University of Rochester, M.S. in Operations Research
  •  
    University of Rochester, Ph.D. in Operations Management

Publications

  • 2021
    Journal of Hypertension, Mobile Health Application Usage and Quality of Care at a Hypertension Clinic: An Observational Cohort Study
  • 2020
    Health Care Management Science, The Value of mHealth for Managing Chronic Conditions
  • 2018
    Management decision, Application of Evidence-Based Management to Chronic Disease Healthcare: A Framework
  • 2008
    European Journal of Operational Research, A Server Backup Model with Markovian Arrivals and Phase Type Services
  • 2005
    Production and Operations Management, Optimal Workforce Mix in Service Systems with Two Types of Customers
  • 2004
    Decision Sciences, Cross-Training Decisions in Field Services with Three Job Types and Server-Job Mismatch

Professional Memberships

  • INFORMS, The Institute for Operations Research and Management Science
  • POMS, Production and Operations management Scociety
  • The Decision Sciences Institute