A knowledge of the approach underlying Operations Research, and the analytical techniques and tools available to support process analysis and improvement and decision making, and when and how they should be applied, can lead to significantly improved processes and decisions.
Having earned a B.Sc. in Engineering Science and an M.Sc. in Quantitative Business Analysis from The Pennsylvania State University, having earned a Ph.D. in Operations Research from Yale University, and having taught related subjects at the university level and used them in industry, Phil is skilled at helping organizations improve processes and make better decisions using:
In addition to teaching operations research, some of the areas to which Phil has applied it include:
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For his doctoral dissertation, Phil utilized probability theory, queuing theory, non-linear programming and policy iteration to analyze the use and merits of state dependent optimization, relative to state independent optimization, of service facilities where internal customers incur waiting costs while waiting for service. Subsequent to finishing his dissertation and in conjunction with Avi Giloni and Yaşar Levent Koçaga, Phil started work to entend that analysis to facilities with multiple classes of service.
With Avi Giloni, Optimal Control Policies for Supply Chain Make to Order Service Providers,
MSOM (Manufacturing and Service Operations Management) 2005.
With Avi Giloni, State Dependent Social Optimization Where Customers Can Sell Their Place In Line, MSOM 2006.
With Avi Giloni,
Enabling State Dependent Priority Service By Using Pricing Mechanisms That Encourage Users To Jump The Queue,
8th Annual INFORMS Revenue Management and Pricing Section Conference, Montreal 2008.
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In conjunction with Avi Giloni and Yaşar Levent Koçaga, Phil researched the application of yield management techniques to maximizing revenue of service facilities where external custmers incur waiting costs while waiting for service.
With Avi Giloni, Augmenting Revenue Maximization Policies For Facilities Where Customers Wait For Service, Yeshiva University Sy Syms School Of Business Working Paper 2008-1.
With Avi Giloni and Yaşar Levent Koçaga,
State dependent pricing policies: Differentiating customers
through valuations and waiting costs, Journal of Revenue and Pricing Management, Journal of Revenue and Pricing Management (2013) 12, 139-161.
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Helping Senior Hospital Management Understand Waiting Phenomenon
Queuing Theory For Hospital/Health Care Operations Management, Invited Presentation, Sir Mortimer B. Davis Jewish General Hospital, September 23, 2011.
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As a starting point for addressing how clinicians can maximize the improvement in health
care they provide to their patients, subject to contraints on resources including their
own availability, in this research Phil looked at the problem of determining the patients surgeons should perform procedures on with a focus on building a mathematical foundation for making these decisions.
With Lawrence Rosenberg,
OnComingCloserToAchievingTargetCancerSurgeryWaitTimes, Canadian Operational Research Society 2014 Conference.
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To maximize the healthcare value generated at the Sir Mortimer B. Davis Jewish General Hospital, as part of a team including
River Logic
and
CGI
staff, Phil investigated the appropriateness of performing hospital enterprise optimization using a linear programming based analytics model to make decisions about patient inflow into its Emergency Department, its cancer treatment center, and its surgery programs.
With Aaron Berg, Julie Rochards, Gervais Pellerin, and Lawrence Rosenberg,
A Prescriptive Analytics Project For Maximizing Healthcare Value Generation At The Sir Mortimer B. Davis Jewish General Hospital, Healthcare Systems Process Improvement Conference 2015.
With Aaron Berg, Julie Rochards, Gervais Pellerin, and Lawrence Rosenberg,
A Prescriptive Analytics Project For Maximizing Healthcare Value Generation At The Sir Mortimer B. Davis Jewish General Hospital, Proceedings of the Healthcare Systems Process Improvement Conference 2015.