The Operations & Systems Engineering department pulls from a robust array of tools to solve complex problems in our health system.  Since every problem we encounter is differenet, our team relies on our expertise to determine the appropriate tools to use to dissect the systems and uncover effective, sustainable solutions for improvement.

OSE Scientific Tools:

  • Operations Research
    • Deterministic Programming
      • Linear Programming
      • Extensions and Tailored Models (Assignment, Scheduling, Dynamic, Goal Programming, etc.)
      • Network Analysis
      • Critical Path Method/PERT
    • Probabilistic Models
      • Simulation Modeling
      • Queueing Theory
      • Inventory Models
    • Decision Analysis
      • MAU Models
      • Bayesian Modeling
      • Markov Decision Processes
  • Statistical Analysis
    • Multivariate Analysis
      • Regression (Linear, Logistic, etc.)
      • ANOVA
      • Interdependence Models (Cluster, Factor, MDS Analysis, etc.)
      • Structural Equation Modeling
    • Experimental Design   
      • Study Design (Factorial, etc.)
      • Data Transformations
    • Statistical Process Control and Forecasting
      • Control Charts
      • Time Series Analysis
      • Advanced Forecasting Techniques
    • Engineering Design
      • Quality Engineering
      • Six Sigma Methodologies (DMAIC, DFSS/IDOV)
      • Lean Principles, Philosophies, and Tools (Kaizen, Heijunka, DPII, SIPOCIshikawa, etc.)
      • Design Heuristics
    • Risk and Reliability
      • FMEA
      • Life Cycle Analysis
    • Engineering Economy
      • Feasibility Analysis
      • Activity Based Costing
  • Other Methods
    • Business Analytics
    • Human Factors
      • Behavioral Science Concepts
      • Ergonomics
    • Information Engineering and Design
      • Data Visualization Methods
      • Balanced Scorecards & Dashboards