Dr. Yariv N. Marmor

Dr. Yariv N. Marmor

Dr. Yariv N. Marmor

04-9901926
EM201B
With appointment
Department: Industrial Engineering and Management
Role: Senior Lecturer

Education :

Ph.D. in Industrial Engineering
Dissertation: "Emergency-Departments Simulation in Support of Service-Engineering: Staffing, Design, and Real-Time Tracking".

Supervisor: Professor A. Mandelbaum.

Technion – Israel Institute of Technology, Haifa. 2003-2010.

M.Sc., in Industrial EngineeringThesis: "Developing a Simulation Tool for Analyzing Emergency Department Performance".
Supervisor: late Dr. D. Sinreich.

Technion – Israel Institute of Technology, Haifa. 1999-2003.

B.Sc., in Industrial Engineering and Management, Technion – Israel Institute of Technology, Haifa. 1995-1999.

Research Interests
  • 1. Data Science
  • 2. Service Systems
  • 3. Healthcare Systems
  • 4. Quality Engineering
  • 5. Statistics
Courses
  • 1.  Introduction to Data Science - 51021 (BSc)
  • 2. Analysis and operation of service systems - 51030 (BSc)
  • 3. Final Project (phase 1) in Planning and Operations / Data Science - 51230 / 51023 (BSc)
  • 4. Final Project (phase 2) in Planning and Operations / Data Science – 51231 / 51024 (BSc)
  • 5. The Supply Process: Planning and Operations - 51132 (BSc)
  • 6. Service Systems Design and Operations Management - 53211 (MSc)

פרופיל גוגל סקולאר

Refereed Papers

  1.  Luzon Y, Marmor YN. Calendar design for assignment of ongoing appointments: Modeling, analysis and application. Computers & Industrial Engineering, p.110931. 2025.
  2.   Gadrich T, Marmor YN, Bashkansky E. Accuracy of categorical measurements: Nominal scale. Measurement, 250, 117044. 2025.
  3.  Gadrich T, Marmor YN, Pennecchi F, Hibbert DB, Semenova AA, Kuselman II, Power of a test for assessing interlaboratory consensus of nominal and ordinal characteristics of a substance, material, or object, Metrologia 41(4). 2024. http://10.1088/1681-7575/ad5846.
  4.   Marmor YN, and Bashkansky E. Reliability of Partitioning Metric Space Data. Mathematics 12(4), 603. 2024.
  5.  Sivan SS, Bonstein I, Marmor YN, Pelled G, Gazit Z, Amit M. Encapsulation of Human-Bone-Marrow-Derived Mesenchymal Stem Cells in Small Alginate Beads Using One-Step Emulsification by Internal Gelation: In Vitro, and In Vivo Evaluation in Degenerate Intervertebral Disc Model. Pharmaceutics. 14(6), 1179. 2022.
  6.  Gadrich T, Marmor YN. Two-way ORDANOVA: Analyzing ordinal variation in a cross-balanced design. Journal of Statistical Planning and Inference. 215, 330-343. 2021.
  7.  Marmor, YN, Gadrich, T, Bashkansky E. Accuracy of multi-experts’ prioritization under Mallows’ model of errors creation. Quality Engineering, 33(2), 286-299.2021.
  8.  Marmor, YN, Bashkansky E. Processing new types of quality data. Quality and Reliability Engineering International. 36(8), 2621-2638. 2020.
  9.  Shnits B, Ben-David I, Marmor YN, An appointment scheduling policy for healthcare systems with parallel servers and pre-determined quality of service. Omega. 1-24. 2019. (DOI: https://doi.org/10.1016/j.omega.2019.08.002)
  10.  Vanacore A, Pellegrino MS, Marmor NY, Bashkansky E. Analysis of consumer preferences expressed by prioritization chains. Quality and Reliability Engineering International. https://doi.org/10.1002/qre.2530 , 09 July 2019.
  11.  Vanacore A, Marmor YN, and Bashkansky E. Some Metrological Aspects of Preferences Expressed by Prioritization of Alternatives. Measurement 135: 520-526, 2018.
  12.  Marmor YN, Bashkansky E. Abrupt Change of Process Behavior: The Anderson-Darling Detection Tool. Quality Engineering. 1-10, 2017.
  13.  Bayer-Topilsky T, Suri RM, Topilsky Y, Marmor YN, Trenerry MR, Antiel RM, Mahoney DW, Schaff HV, Enriquez-Sarano M. Mitral valve prolapse, psychoemotional status, and quality of life: prospective investigation in the current era. American journal of medicine. 129(10): 1100-1109, 2016.
  14.  Luzon Y, Khmelnitsky E, Marmor Y. Minimum Flow Time in a Tandem Two-Server Fluid Network. IEEE Transactions on Automatic Control. 2016 (DOI: 10.1109/TAC.2016.2614271.)
  15.  Ben-David I, Marmor YN, Shnits B. Developing an Optimal Appointment Scheduling for Systems with Rigid Standby Time under pre-Determined Quality of Service. Flexible Services and Manufacturing Journal. 1-24. 2016. (DOI: https://doi.org/10.1007/s1069.)
  16.  Bayer-Topilsky T, Suri RM, Topilsky Y, Marmor YN, Trenerry MR, Antiel RM, Enriquez-Sarano M. Psychoemotional and quality of life response to mitral operations in patients with mitral regurgitation: a prospective study. Annals of thoracic surgery. 99(3): 847-854, 2015.
  17.  Armony M, Israelit S, Mandelbaum A, Marmor YN, Tseytlin Y, Yom-Tov GB. Patient flow in hospitals: A data-based queueing-science perspective. Stochastic System. 5(1): 146–194, 2015.
  18.  Luzon Y, Marmor Y, Khmelnitsky E. Optimal control of a two-server flow-shop network. Journal of Scheduling. 18(5): 513-524, 2015.
  19.  Ozen A, Marmor Y, Rohleder T, Balasubramanian H, Huddleston J, Huddleston P. Optimization and Simulation of orthopedic Spine Surgery Cases at Mayo Clinic. Manufacturing & Service Operations Management. 18(1): 157-175, 2015.
  20.  Kaner M, Gadrich T, Dror S, Marmor Y. Generating and Evaluating Simulation Scenarios to Improve Emergency Department Operations. IIE Transactions on Healthcare Systems Engineering. 4:156–166, 2014. (DOI: 10.1080/19488300.2014.938281.)         
  21.  Bayer-Topilsky T, Itzhaky H, Dekel R, Marmor Y. Mental health and posttraumatic growth in civilians exposed to ongoing terror. Journal of Loss and Trauma. 18(3):227-47, 2013.
  22.  Bayer-Topilsky T, Trenerry MR, Suri R, Topilsky Y, Antiel RM, Marmor Y, Mahoney DW, Schaff HV, Enriquez-Sarano M. Psycho-emotional Manifestations of Valvular Heart Diseases: Prospective Assessment in Mitral Regurgitation. American Journal of Medicine. 126(10):916-24, 2013. (DOI:10.1016/j.amjmed.2013.05.013).
  23.  Marmor Y, Rohleder TR, Cook DJ, Huschka TR, Thompson JE. Recovery bed planning in cardiovascular surgery: a simulation case study. Health Care Management Science. 16(4):314-27. 2013. (DOI:10.1007/s10729-013-9231-5.)
  24.  Marmor Y, Kemp BJ, Huschka TR, Ruter RL, McConnell DM, Rohleder TR. Improving Patient Access in Nuclear Medicine: A Case Study of PET Scanner Scheduling. Quality Management in Health Care. 22(4):302-14, 2013. (DOI:10.1097/QMH.0000000000000005.)
  25.  Brown MJ, Kor DJ, Curry TB, Marmor Y, Rohleder TR. A Coordinated Patient Transport System for ICU Patients Requiring Surgery: Impact on Operating Room Efficiency and ICU Workflow. Journal for Healthcare Quality. 2013. (DOI: 10.1111/jhq.12019.)
  26.  Kaner M, Gadrich T, Dror S, Marmor Y. Conceptualizing Emergency Department Scenarios: A DSE-based Methodology. International Journal of Service Science, Management, Engineering, and Technology. 4(1):30-46, 2013. (DOI:10.4018/jssmet.2013010103.)
  27.  Hasin T, Marmor Y, Kremers W, Topilsky Y, Severson CJ, Schirger JA, Boilson BA, Clavell AL, Rodeheffer RJ, Frantz RP, Edwards BS, Pereira NL, Stulak JM, Joyce L, Daly R, Park SJ, Kushwaha SS. Readmissions after implantation of axial flow left ventricular assist device. Journal of the American College of Cardiology. 61(2):153-63, 2013. (PMID:23219299. DOI:10.1016/j.jacc.2012.09.041.)
  28.  Marmor Y, Golany B, Israelit S, Mandelbaum A. Designing Patient Flow in Emergency Departments. IIE Transactions on Healthcare Systems Engineering. 2(4):233-247, 2012. (DOI:10.1080/19488300.2012.736118.)
  29.  Zeltyn S, Marmor Y, Mandelbaum A, Carmeli B, Greenshpan O, Mesika Y, Wasserkrug S, Vman P, Shtub A, Lauterman T, Schwartz D, Moskovitch K, Tzafrir S, Basis F. Simulation-Based Models of Emergency Departments: Operational, Tactical, and Strategic Staffing. ACM Transactions on Modeling and Computer Simulation (TOMACS). 21(4):1-25, 2011. (DOI:10.1145/2000494.2000497.)
  30.  Sinreich D, Marmor Y. Emergency department operations: the basis for developing a simulation tool. IIE Transactions. 37(3):233-45, 2005. (DOI:10.1080/07408170590899625.)
  31.  Sinreich D, Marmor Y. Ways to reduce patient turnaround time and improve service quality in emergency departments. Journal of Health Organization and Management. 19(2):88-105, 2005. (PMID:16119049.)
  32.  Sinreich D, Gopher D, Ben-Barak S, Marmor Y, Lahat R. Mental Models as a Practical Tool in the Engineer’s Toolbox. International Journal of Production Research. 43(14):2977-96, July 2005. (DOI:10.1080/00207540500057373.)

Book Chapters

  1. Marmor YN, Bashkansky E. Patient Diagnostic State Evolution During Hospitalization: Developing a Model for Measuring Clinical Diagnostic Dynamics. In Recent Advances in Multi-state Systems Reliability. 2018: pp. 343-354. Springer, Cham.

Conference Proceedings and Abstracts

  1. Marmor YN. The benefits of classification: a system operational perspective. Proceedings of IES 2025 Conference, 716-722.
  2. Vanacore A, Pellegrino MS, Marmor NY, Bashkansky E. Testing consistency in preference orderings. Proceedings of IES 2019, 167-175.
  3. Roh TP, Huschka TR, Brown MJ, Marmor YN. Data-driven simulation use to determine bed resource requirements for the redesign of pre-and post-operative care areas. In Proceedings of the Winter Simulation Conference 2014, pp. 1168-1176. IEEE, 2014.
  4. Akin G, Ivy JS, Huschka TR, Rohleder TR, Marmor Y. Capacity management and patient scheduling in an outpatient clinic using discrete event simulation. Proceedings of the 2013 Winter Simulation Conference – Simulation: Making Decisions in a Complex World, WSC 2013. 2215-26, 2013.
  5. Marmor Y, Rohleder TR, Huschka T, Cook D, Thompson J. A simulation tool to support recovery bed planning for surgical patients. Proceedings – Winter Simulation Conference. 1333-9, 2011.
  6. Vitkin E, Carmeli B, Greenshpan O, Baras D, Marmor Y. MEDAL: measuring of emergency departments' adaptive load. Studies in health technology and informatics. 60(Pt 1):218-22, 2010. (PMID:20841681.)
  7. Marmor Y, Wasserkrug S, Zeltyn S, Mesika Y, Greenshpan O, Carmeli B, Shtub A, Mandelbaum, A. Toward Simulation-Based Real-Time Decision-Support Systems for Emergency Departments. Proceedings – Winter Simulation Conference. 2042-53, 2009. (DOI:978-1-4244-5770-0.)
  8. Wasserkrug S, Greenshpan O, Marmor Y, Carmeli B, Vortman P, Basis F, Schwartz D, Mandelbaum A. InEDvance: Advanced IT in Support of Emergency Department Management. Next Generation Information Technologies and Systems. 5831:86-95, 2009. (DOI:10.1007/978-3-642-04941-5_10.
  9. Sinreich D, Marmor Y. A Simple and Intuitive Simulation Tool for Analyzing Emergency Department Operations. Proceedings – Winter Simulation Conference. 1994-2002, 2004. (DOI:10.1109/WSC.2004.1371561.)

Academic Appointments

2019-2022

Head of Industrial Engineering and Management Department, Braude College of Engineering, Karmiel, Israel.

2014+

Senior Lecturer at ORT Braude College, Karmiel, Israel.

2013-2014

Lecturer as a faculty member at ORT Braude College, Karmiel, Israel.

2013+

Assistant Professor of Healthcare Systems Engineering – College of Medicine, Mayo Clinic, Rochester, MN

2011-2013

Research Associate in the Mayo School of Graduate Medical Education with Professor Thomas Rohleder in the Division of Health Care Policy and Research, Rochester, MN

2010-2011

Postdoctoral research fellow in the Mayo School of Graduate Medical Education with Professor Thomas Rohleder in the Division of Health Care Policy and Research, Rochester, MN

Modeling of Service System (especially Healthcare Systems) using real data and analytical tools.

Development of Research Tools (Free Downloads):

  1.  ADDT – Anderson-Darling Detection Tool 

Data 1 – Artificially simulated data

Data 2 – Detecting a change caused by the loss of 
measuring device accuracy 

Based on  Abrupt Change of Process Behavior: The
Anderson-Darling Detection Tool. Quality Engineering (Marmor and Bashkansky, 2017).

  1. Appointment Scheduler Tool (Download)

Based on Developing an Optimal Appointment Scheduling for Systems with Rigid Standby Time under pre-Determined Quality of Service. Flexible Services and Manufacturing Journal (Bendavid, Shnits and Marmor, 2016).

  1. Parallel Servers Appointment Scheduler Tool (Download)

Based on An appointment scheduling policy for healthcare systems with parallel servers and pre-determined service levels.  Omega (Shnits, Bendavid and Marmor, 2019).

  1. Preference Tool (Download)

Based on Some Metrological Aspects of Preferences Expressed by Prioritization of Alternatives,  Measurement (Vanacore, Marmor and Bashkansky, 2018).

  1. Two-way ORDANOVA calculator tool (download)

Data 1- Accidents – amount out of 1000
Data 2- Pizza Data

Based on Two-way ORDANOVA: Analyzing ordinal variation in a cross-balanced design. Journal of Statistical Planning and Inference (Gadrich and Marmor, 2021).

  1. Factor Analysis calculator tool for Categorical Data (download):

One- and Two-way CATANOVA for Nominal variables

One- and Two-way ORDANOVA for Ordinal variables (example data – chlorine odor of the drinking water)

Based on Power of a test for assessing interlaboratory consensus of nominal and ordinal characteristics of a substance, material, or object. Working Paper (Gadrich, Marmor, Pennecchi, Hibbert, Semenova, Kuselman, 2024).

A tool for calculation of the test power for categorical variables based on application of the multinomial distribution and Monte Carlo simulations – user instructions

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