Karina Sindermann

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Karina Sindermann

Ph.D. Student Supply Chain Management & Analytics University of Nebraska-Lincoln

Karina Sindermann is a Ph.D. candidate in Supply Chain Management and Analytics at the University of Nebraska-Lincoln. She holds an M.S. in Business and Information Systems Engineering from the University of Augsburg, Germany.

Her research focuses on inventory optimization and operations management, developing efficient replenishment policies for industrial vending machines using stochastic optimization and Markov decision processes. Her work has demonstrated potential cost reductions of 61-78% compared to current industry practices. She also conducts research in healthcare operations, applying mathematical programming to physician scheduling optimization.

Education

  • Ph.D. in Supply Chain Management and Analytics (in progress) University of Nebraska-Lincoln
  • M.S. in Business and Information Systems Engineering, 2022 University of Augsburg, Germany
  • B.S. in Business and Information Systems Engineering, 2019 University of Augsburg, Germany

Research Interests

  • Inventory Management and Optimization
  • Stochastic Optimization and Markov Decision Processes
  • Industrial Vending Machine Replenishment Policies
  • Healthcare Operations and Physician Scheduling

Areas of Expertise

  • Mathematical Optimization (CPLEX, DOcplex, Excel Solver)
  • Stochastic Optimization and Control Theory
  • Python Programming for Operations Research
  • Data Analysis and Quantitative Methods
  • Database Management (SQL)

Publications

  • Sindermann, K.M., Schüller, M., Brunner, J. O. "Optimizing Physician Scheduling at Kempten Hospital: A Database-Driven Mathematical Programming Approach." Under minor revision at INFORMS Journal on Applied Analytics.

Academic Service

  • Journal Reviewer: IISE Transactions
  • Journal Reviewer: Transportation Research Part E: Logistics and Transportation Review

Teaching

  • Instructor, SCMA 350: Business Analytics/Information Analysis (Fall 2025)
  • Instructor, SCMA 250: Spreadsheet Analytics (Spring 2026, 2 sections)

Awards

  • Ogle Fellowship, University of Nebraska-Lincoln
  • Chancellor Fellowship, University of Nebraska-Lincoln