Jonathan E. Helm Grainger Professor of Operations and Decision Technologies 812-855-3486 helmj [ a t ] indiana [ d o t ] edu |
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IU Kelley School of Business Trustee Teaching Award in 2019, Finalist in 2015.Primary Instructor
- K635 Special Topics in Decision Sciences: Probability and Stochastics [Proposed and Designed] (IU, Fa '21, '22, '23)
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Two week short course (bootcamp) to provide methodological background on Probability and Markov Chain theory to incoming Kelley School of Business doctoral students open to all departments.
- K604: Stochastic Processes: (IU Sp '19)
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Doctoral course in stochastic processes, covering topics including conditional probability and expectation, exponential distribution and Poisson processes, DTMC and CTMC, including Chapman-Kolmogorov, state classification, limiting probabilities, time reversibility, and uniformization. Some queueing topics are introduced.
- P481: Supply Chain Planning and Analytics: (IU Sp '19, Fa '19)
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Undergraduate course for supply chain majors covering topics in forecasting, aggregate planning, sales and operations planning, deterministic and stochastic inventory models, optimal product availability, and pricing and revenue management.
- SCM502: Operations and Supply Management: (ASU Fa '17)
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MBA Core course with topics in process design, inventory management, capacity and flow time analysis, queueing, and lean manufacturing.
- P635 Managing Patient Flow Systems: (IU Sp ’13, Sp ’15, Sp '16)
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Ph.D. seminar in the department of Operations and Decision Technologies. Students develop a theoretical framework in which to investigate patient flow problems and apply the theory in and outside of class to solve high impact healthcare problems.
- P429 Operations Processes: (IU Sp ’13, Sp ’14, Sp ’15, Fa ’15, Sp '16),
- Focuses on the study of the processes by which products are created and delivered to customers. The course emphasizes the process flow method using three measures of process achievement: throughput (the rate of product delivery), flowtime (the time it takes to deliver that product), and inventory.Topics include Little's Law, the uses of inventory, the importance of time-based competition, process analysis, and bottleneck analysis. Computational analysis using simulation is emphasized.
Executive Education
- Discovering Process Excellence: Single Corporation (ASU, SP '18)
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3-day lean and value stream mapping workshop. Day 1: basics of lean, managing process variability, theory of constraints. Day 2: application of value stream mapping in house building manufacturing simulation. Day 3: VSM mini-kaizen event on-site
- Managing Patient Flow: Kelley Connect Week (IU, SP '17) ,
- For online MBA students' one week in-person session. Discussion of the role of operations management in managing variability in healthcare delivery, followed by case discussion of "Quali Health: Creating Access to Quality Healthcare for South Africa's Excluded Majority."
Guest Lecture
- OM392: Doctoral Seminar in Healthcare Management (UT Austin, FA '19, Guest Lecture)
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Guest lecture on development of research in the the hospital readmissions space. Discussion of a research project and the technical aspects of analysis for [A15] Timing it Right: Readmission risk at discharge vs inpatient unit congestion.
- BUS790: Doctoral Seminar Operations and Supply Chain Management (NC State, SP '18, Guest Lecture)
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Guest lecture on development of research in the the hospital readmissions space. Discussion of a research project and the technical aspects of analysis for [A10] Missed Opportunities in Preventing Hospital Readmissions: Redesigning Post-discharge Checkup Policies.
- HSM552: Healthcare Supply Chain Management (ASU, SP '18, Guest Lecture)
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Guest lecture on the role of business analytics in healthcare. Included topics in personalized medicine, hospital management, readmissions, pharmaceutical distribution, hospital coalitions, and a mini-case on Emergency Department management.
- OR801: Operations Research Doctoral Seminar (NCSU, SP '18, Guest Lecture) ,
- Guest lecture on topics application focus on healthcare operations and methodological focus on stochastic modeling and optimization.