DISCRETE EVENT PROCESS SIMULATION

To improve complex processes having interacting subprocesses such as those found in healthcare, it is often helpful to analyze those processes using discrete event simulation. That's because the process of building a discrete event simulation generally leads to a better understanding of the processes and their interactions, which in turn often leads to process improvement. It is also because once the simulation model has been built, it can be used to evaluate and optimize alternative process designs in context of organizational goals, without the cost of actually implementing the designs.

Phil's discrete event simulation experience includes:

• Suggesting the use of discrete event simulation to support reengineering.

  Philip Troy, Discrete Event Simulation As A Tool To Support Reengineering, Administrative Science Association Of Canada, 1993.

• Developing and teaching a simulation course for the Supply Chain Operations Management programs at both Concordia University's John Molson School of Business and McGill University's school of continuing studies
• Building a simulation model to identify the availability of time for peforming more surgeries in a major university affiliated teaching hospital
• Building a simulation model to determine the number of machines needed to clean surgical equipment
• Building a simulation model to identify the number of beds needed in a proposed surgery only Intensive Care Unit for a major university affiliated teaching hospital

  With Lawrence Rosenberg, Using Simulation To Determine The Need For ICU Beds For Surgical Patients At The Sir Mortimer B. Davis Jewish General Hospital, CSA (Central Surgical Association) 2009.

  With Lawrence Rosenberg, Using Simulation To Determine The Need For ICU Beds For Surgery Patients, Surgery, Volume 146, Issue 4, Pages 608-620, October 2009.

• Building a simulation based optimization model to help design and manage a pre-surgical screening clinic for a major university affiliated teaching hospital

  Simulation Based Process Analysis And Optimization For A Pre-Surgical Screening Clinic, Surgical Grand Rounds, Jewish General Hospital, February 4, 2010.

  With Nadia Lahrichi, Dana Porubska, Lawrence Rosenberg, Simulation Based Optimization Of A Pre-Surgical Screening Clinic, Extended Abstract, The International Workshop On Healthcare Operations Management, Haifa, 2010

  With Nadia Lahrichi, Dana Porubska, Lawrence Rosenberg, Simulation Based Optimization Of A Pre-Surgical Screening Clinic, The International Workshop On Healthcare Operations Management, Haifa, 2010

  With Dana Porubska, Nadia Lahrichi, Lawrence Rosenberg, Scheduling Of Staff And Patients For A Pre-Surgical Screening Clinic, Informs Healthcare 2011.

  With Nadia Lahrichi, and Lawrence Rosenberg, An Alternative Approach To Modeling A Pre-Surgical Screening Clinic, Winter Simulation Conference 2013.

  With Nadia Lahrichi, and Lawrence Rosenberg, An Alternative Approach To Modeling A Pre-Surgical Screening Clinic, Proceedings Of The Winter Simulation Conference 2013.

  With Nadia Lahrichi, Dana Porubska, and Lawrence Rosenberg, Fine-grained simulation optimization for the design and operations of a multi-activity clinic, Flexible Services and Manufacturing Journal, Published online: 11 March 2019.

• Building (in progress) TroySim, a hospital enterprise discrete event simulation platform, to be used to evaluate and optimize operating room schedules and other hospital processes(in progress)

  With Lawrence Rosenberg, A Peri-Operative Process Simulation Model, Informs Healthcare 2011.

• Using TroySim to build (in progress) a discrete event simulation model of hospital peri-operative processes to enable surgery management to operationally identify potential delays in proposed daily surgical schedules