Areas of Interest Education Employment Publications/Accepted

Total Page:16

File Type:pdf, Size:1020Kb

Areas of Interest Education Employment Publications/Accepted MILI MEHROTRA Assistant Professor Carlson School of Management, The University of Minnesota Phone: (972)-900-2998, Email: [email protected] Areas of Interest Research: Socially-Responsible Operations, Health Care Operations, Supply Chain Analytics, Supply Chain Management, Discrete Models in Operations Management; in particular, Service Operations, Production Planning, and Logistics Teaching: Operations Management, Supply Chain Management, Logistics/Distribution, Probabil- ity and Statistics, and Quantitative Methods Education The University of Texas at Dallas, Richardson, TX 2010 PhD, Operations Management The University of Texas at Dallas, Richardson, TX 2010 MS, Supply Chain Management Banaras Hindu University, Varanasi, India 2002 MS, Mathematics Banaras Hindu University, Varanasi, India 2000 BS, Mathematics Employment Assistant Professor, Carlson School of Management, The University of Minnesota, August 2010 { Present. Publications/Accepted Papers Jason Nguyen, Karen Donohue, Mili Mehrotra, \Closing a Supplier's Energy Efficiency Gap: The Role of Assessment Assistance and Procurement Commitment." Accepted, Management Science, 2017. - Accepted for Presentation at MSOM Sustainable Operations SIG Conference, June 2015. - Extended Abstract Accepted, MSOM Society Conference, June 2014. Diwakar Gupta, Mili Mehrotra, \Bundling Payments for Healthcare Services: Proposer Selection and Information Sharing," Operations Research, Vol. 63, No. 4, July 2015, pp. 772-788. - Finalist, Best Paper Award, Healthcare Operations Management Track, College of Healthcare Operations Management, Production and Operations Management, 2015. - Extended Abstract Accepted, Indian School of Business - POMS Workshop, Dec 2014. - Extended Abstract Accepted, MSOM Healthcare Operations Management SIG Conference, June 2014. Milind Dawande, Srinagesh Gavirneni, Mili Mehrotra, Vijay Mookerjee, “Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries," Manufacturing and Service Operations Management, Vol. 15, No. 2, Spring 2013, pp. 221-238. - Finalist, Best Paper Award, Manufacturing and Service Operations Management (M&SOM), 2016. \This annual award is given to a paper, published in one of the prior three volumes of M&SOM, deemed by the M&SOM editorial board to be most deserving for its contribution to the theory and practice of operations management." Mili Mehrotra, Milind Dawande, Vijay Mookerjee, Chelliah Sriskandarajah, \Pricing and Logistics Decisions for a Private-Sector Provider in the Cash Supply Chain," Production and Operations Management, Vol. 21, No. 5, September-October 2012, pp. 954-974. Mili Mehrotra, Milind Dawande, Srinagesh Gavirneni, Mehmet Demirci, Sridhar Tayur, \Production Planning with Patterns: A Problem from Processed Food Manufacturing," Operations Research, Vol. 59, No. 2, March/April 2011, pp. 267-282. Mili Mehrotra, Milind Dawande, Chelliah Sriskandarajah, \A Depository Institution's Optimal Cur- rency Supply Network under the Fed's New Guidelines: Operating Policies, Logistics, and Impact," Production and Operations Management, Vol. 19, No. 6, November-December 2010, pp. 709-724. Milind Dawande, Mili Mehrotra, Vijay Mookerjee, Chelliah Sriskandarajah, \An Analysis of Coor- dination Mechanisms for the U.S. Cash Supply Chain," Management Science, Vol. 56, No. 3, March 2010, pp. 553-570. Working Papers/Work in Progress Mili Mehrotra, William Schmidt, \The Impact of Inaccurate Disruption Duration Estimates." Un- der first round revision, Manufacturing and Service Operations Management, first round review decision: \Major Revision." Mili Mehrotra, Karthik Natarajan, \Optimal Provider and Patient Incentives in Funding-Constrained Humanitarian Healthcare Service Settings." Revised and resubmitted to, Management Science, first round review decision: \Reject and Resubmit." Jason Nguyen, Karen Donohue, Mili Mehrotra, \Closing a Supplier's Energy Efficiency Gap: Impact of Carbon Pricing and Competitiveness Concern." Manuscript under preparation. Jason Nguyen, Karen Donohue, Mili Mehrotra, \Impact of Incentive Schemes on Utilities Spending on Demand-Side EE Programs." Work in progress. Diwakar Gupta, Mili Mehrotra, Xiaoxu Tang, \Hospital-physician Gainsharing Contract Design." Work in progress. Grant Grant-in-Aid of Research, Artistry, and Scholarship from the Office of the Vice President for Research, The University of Minnesota, 2014-2015; Amount $24,586. Teaching Experience Instructor for SCO6090 (Online) { Sales, Inventory, and Operations Planning (MS in Supply Chain Management), Carlson School of Management, The University of Minnesota, Fall 2016. Instructor for SCO3056 { Supply Chain Planning and Control, Carlson School of Management, The University of Minnesota, Spring 2015, Fall 2015, and Spring 2017. Instructor for OMS/SCO3001 { Introduction to Operations Management, Carlson School of Man- agement, The University of Minnesota, Spring 2011, Spring 2012, Spring 2013, and Spring 2014, Spring 2015, and Spring 2017 (Ongoing). Instructor for OMS/SCO8735 { Supply Chain Management (Doctoral Seminar), Carlson School of Management, The University of Minnesota, Spring 2012, Spring 2014, and Fall 2015. Instructor for BA3352 { Production Management, The University of Texas at Dallas, Richardson, TX, (full responsibility) an undergraduate required business course, Spring 2009 and Spring 2010. Teaching Assistant, The University of Texas at Dallas, Richardson, TX, 2005 { 2010. Undergraduate courses: Production Management, Introduction to Supply Chain Management. MS/MBA/PhD level courses: Operations Management, Deterministic Models in Operations Research, Network Flow. Academic Associate, Production and Quantitative Methods Area, Indian Institute of Manage- ment, Ahmedabad, India, 2004. Lecturer, Mathematics, Sunbeam College for Women, Varanasi, India, 2002 { 2004. Conference Presentations 2017 May POMS Annual Meeting (Invited Session), Optimal Provider and Patient Incentives in Funding-Constrained Humanitarian Healthcare Service Settings. 2015 May POMS Annual Meeting (Invited Session), Bundled Payments for Healthcare Services. 2014 Nov INFORMS Annual Meeting (Invited Session), Bundled Payments for Healthcare Services. 2013 Oct INFORMS Annual Meeting (Invited Session), The Bundled Payments for Care Improvement Initiative of the CMS: A Normative Analysis. 2012 Oct INFORMS Annual Meeting (Invited Session), Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries. 2012 Apr POMS Annual Meeting (Invited Session), Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries. 2012 Feb INFORMS Optimization Society Conference 2012 (Invited Session), Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries. 2011 Nov INFORMS Annual Meeting (Invited Session), Efficient Water Distribution: An Analysis of Coordination Mechanisms. 2011 May POMS Annual Meeting (Invited Session), An Analysis of Coordination Mechanisms for the U.S. Cash Supply Chain. 2010 Nov INFORMS Annual Meeting (Invited Session), Pricing Decisions for a Secure-Logistics Provider in the Cash Supply Chain. 2010 Jun SDPS (Society for Design and Process Science, Invited Session), Pricing Decisions for a Secure-Logistics Provider in the Cash Supply Chain. 2009 Oct INFORMS Annual Meeting (Invited Session), An Analysis of Coordination Mechanisms for the U.S. Cash Supply Chain. 2008 Oct INFORMS Annual Meeting (Invited Session), Currency Supply Chain –Efficacy of the Fed's New Cash Recirculation Policy. 2008 Oct INFORMS Annual Meeting (Invited Session), Using Integer Programming to Evaluate the Impact of the Fed's New Currency Recirculation Policy. 2007 Nov INFORMS Annual Meeting, Currency Supply Network and The Fed's New Guidelines: Operating Policies, Logistics, and Impact. Invited Talks 2015 Jan, \Bundling Payments for Healthcare Services: Proposer Selection and Information Shar- ing" { Scheller College of Business - Georgia Tech. 2013 Nov, \Episode-Based Payment For Service Bundles: Proposer Selection and Information Shar- ing." { Warrington College of Business Administration - The University of Florida, College of Business at Illinois - The University of Illinois at Urbana-Champaign. 2011 Dec, “Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries." { Industrial and Systems Engineering, The University of Minnesota. 2009-2010, \An Analysis of Coordination Mechanisms for the U.S. Cash Supply Chain." { Cox School of Business - The Southern Methodist University, Ross School of Business - The University of Michigan, Loyola University Chicago, Hong Kong University of Science and Technology Business School, Eindhoven University of Technology, Fisher College of Business - The Ohio State University, Carlson School of Management - The University of Minnesota, David Eccles School of Business - The University of Utah, The John Cook School of Business - The Saint Louis University, Robert H. Smith School of Business - The University of Maryland, The University at Buffalo School of Man- agement, Robinson College of Business - The Georgia State University, Booth School of Business - The University of Chicago. 2007 Dec, \Impact of the Fed's New Guidelines on the U.S. Currency Supply Network." { Indian Institute of Management, Lucknow, India. 2007 Dec, \The U.S. Cash Supply Chain and the Fed's New Guidelines." { Department of Industrial and Management Engineering, Indian Institute of Technology, Kanpur, India. Professional Services Ad-Hoc Reviewer: MS, MSOM,
Recommended publications
  • Tinglong Dai
    Tinglong Dai Johns Hopkins University Office: Legg Mason 1224 Carey Business School Phone: (410) 234-9415 100 International Drive Website: tinglongdai.com Baltimore, MD 21202 Email: [email protected] Academic Experience Johns Hopkins University, Carey Business School Associate Professor, 2018–present Assistant Professor, 2013–2018 Education Carnegie Mellon University, Tepper School of Business Ph.D. in Industrial Administration, Operations Management/Robotics, 2013 Dissertation: Incentives in U.S. Healthcare Operations Committee: Sridhar Tayur (chair), Katia Sycara (chair), Mustafa Akan, Soo-Haeng Cho, Kinshuk Jerath, R. Ravi Master of Science in Industrial Administration, 2009 Hong Kong University of Science & Technology Master of Philosophy in Industrial Engineering & Engineering Management, 2006 Advisor: Xiangton Qi; Committee Chair: Jeff L. Hong Tongji University, Shanghai, China Bachelor of Engineering in Automation, 2004 Honors & Awards Management Science Distinguished Service Award, 2018 Dean’s Award for Faculty Excellence, 2016, 2017, 2018 INFORMS Public Sector Operations Research Best Paper Award, 2017 Manufacturing & Service Operations Management (M&SOM) Meritorious Service Award, 2016, 2017 Johns Hopkins Discovery Award, 2015–2016 POMS College of Healthcare Operations Management Best Paper Award, 2012 POMS College of Healthcare Operations Management Best Healthcare Paper Award, Runner-Up, 2016 INFORMS Pierskalla Award for the Best Paper in Healthcare, Runner-Up, 2012 POMS College of Supply Chain Management Best Student Paper Award, Honorable Mention, 2013 INFORMS Case Competition, Second Place, 2012 The Ninth POMS-HK International Conference, Best Student Paper Award, Honorable Mention, 2018 IBM Service Science Best Student Paper Award, Finalist, 2017 Elwood S. Buffa Doctoral Dissertation Award, Finalist, 2014 Lee B. Lusted Student Research Paper Award, Finalist, 2012 William Larimer Mellon Fund Doctoral Fellowship, Tepper School of Business, 2007–2013 Tinglong Dai 2 Book Tinglong Dai, Sridhar Tayur (Eds).
    [Show full text]
  • Management and Business Review (MBR) Mission, Plan, and Call for Papers
    Management and Business Review (MBR) Mission, Plan, and Call for Papers We are happy to announce the upcoming launch of a new journal, Management and Business Review (MBR). The mission of MBR is to disseminate knowledge that advances management practice and improves the world. We will publish MBR in print as well as online. Visit our website www.mbrjournal.com In contrast to the Harvard Business Review (HBR), which is published by a single school, MBR is the result of a grassroots initiative with a wide participation by many schools and companies. Please see a story on MBR in Forbes: https://www.forbes.com/sites/poetsandquants/2019/10/25/profs-plan-a-rival-to-the-harvard- business-review/#1f1cb0ae10dc We will publish MBR’s first issue of the inaugural volume in August 2020 and the second issue in November 2020. We will distribute their complimentary digital copies to millions of readers. We will share these issues with you so you can share them with anyone you like. Please register yourself, your colleagues in your organization or other organizations, including your dean or your company head, at www.mbrjournal.com so that we can send all of you complimentary digital copies of the four 2020 issues of MBR and share with you more information on MBR. If you have too many email addresses to register manually, you can send them to Kalyan Singhal at [email protected], and we will register them. Next month, we will send an e-mail to the community describing how MBR can help every business school to enhance its brand and strengthen its relationships with alumni and the business community.
    [Show full text]
  • 47-779. Quantum Integer Programming
    47-779. Quantum Integer Programming Mini-1, Fall 2020 Room: Zoom Online Time: Tuesday and Thursday 5:20pm-7:10pm Instructors: Sridhar Tayur Email: [email protected] Office: 4216 Tepper Quad Davide Venturelli Email: [email protected] Office: Online David E. Bernal Email: [email protected] Office: 3116 Doherty Hall Office Hours: Post your questions in the forum provided for this purpose on Canvas. This course will be conducted online. Objectives: This course is primarily designed for graduate students (and advanced undergraduates) in- terested in integer programming (with non-linear objective functions) and the potential of near-term quan- tum and quantum-inspired computing for solving combinatorial optimization problems. By the end of the semester, someone enrolled in this course should be able to: • Appreciate the current status of quantum computing and its potential use for integer programming • Access and use quantum computing resources (such as D-Wave Quantum Annealers) • Set up a given integer program to be solved with quantum computing • Work in groups collaboratively on a state-of-the-art project involving applications of quantum com- puting and integer programming This course is not going to focus on the following topics: • Quantum Gates and Circuits • Computational complexity theory • Quantum Information Theory • Analysis of speedup using differential geometry, algebraic topology, etc. Prerequisite classes and capabilities: Although this class has no explicit prerequisites we consider a list of recommended topics and skills that the student should feel comfortable with. An undergraduate-level understanding of probability, calculus, statistics, graph theory, algorithms, and linear algebra is assumed. Knowledge of linear and integer programming will be useful for this course.
    [Show full text]
  • 08 Sridhar Tayur.Pmd
    ARTICLE WHEN BUSINESS MANAGEMENT MEETS QUANTUM COMPUTATION SRIDHAR TAYUR* A short conversation on May 13, 2019, of the author with his students and fellow colleagues on the topic. Q: Congratulations on being elected University Google have announced that devices with more qubits and Professor. In your quote that was part of the University better connectivity will be available by the end of the year. Professor announcement, you mentioned quantum The hardware on AQC paradigm from D-Wave computing (QC). Now that sounds very different from (Chimera architecture) is a bit more mature, and their next your research in supply chains and healthcare version (Pegasus) slated to be available soon appears even operations. How does QC fit in with your research more so. Our experience with Chimera (and outlook based interests? on Pegasus) is presented in our paper: Graver Bases via A: Actually, it is very much in line with my core Quantum Annealing with Application to Non-Linear Integer research interests of exploring new mathematics and Programs. (Link: https://arxiv.org/abs/1902.04215). Some technologies in search of very different types of algorithms instances of industrial problems that have resisted good to solve industrial scale problems faster. solutions by commercially available classical solvers are solvable on Chimera using our hybrid quantum-classical Q: Can you give a quick overview of quantum approach, and this is very encouraging as we know Pegasus computing landscape? can do so much more. A: The hardware for quantum computing (QC) is still Q: So how do you see your research plans in this not mature.
    [Show full text]
  • Srinagesh Gavirneni Samuel Curtis Johnson Graduate School of Management Cornell University Ithaca, NY 14853 (607)-254-6776 [email protected]
    Srinagesh Gavirneni Samuel Curtis Johnson Graduate School of Management Cornell University Ithaca, NY 14853 (607)-254-6776 [email protected] Education Carnegie Mellon University Doctor of Philosophy in Manufacturing and Operations Systems December 1997 (Thesis Title: Inventories in supply chains under cooperation ) Master of Science in Industrial Administration May 1994 Iowa State University Master of Science in Industrial and Manufacturing Systems Engineering May 1993 Indian Institute of Technology Bachelor of Technology in Mechanical Engineering August 1989 Work Experience Samuel Curtis Johnson Graduate School of Management, Cornell University (06/2004 – now) Kelley School of Business, Indiana University (08/2002 – 05/2004) SmartOps Corporation (02/2002 – 08/2002) Maxager Technology Inc . (02/2000 – 11/2001) Schlumberger Ltd. (09/1997 – 02/2000) Intel (09/1995 – 11/1995) Journal Publications 1. “Impact of Information Errors on Supply Chain Performance” with Jin Kyung Kwak. Journal of the Operational Research Scoiety. (Forthcoming). 2. “Transfer Pricing and Sourcing Strategies for Multinational Firms” with Masha Shunko and Laurens Debo. Production and Operations Management . (Forthcoming). 3. “Designing Dedicated Transportation Subnetworks: Design, Analysis, and Insights” with Tharanga Rajapakshe, Milind Dawande, Chelliah Sriskandarajah, and Rao Panchalavarapu, Production and Operations Management. (Forthcoming). 4. “A note on the effectiveness of scheduled balanced ordering in a one-supplier two-retailer system with uniform end-customer demands” with Lucy G. Chen, International Journal of Production Economics , Vol. 146, No. 1, 2013, pp. 240-245. 5. “Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries” with Milind Dawande, Mili Mehrotra and Vijay Mookerjee, Manufacturing and Service Operations Management, Vol. 15, No.
    [Show full text]
  • Curriculum Vitae
    Tinglong Dai Johns Hopkins University Office: Legg Mason 1219 Carey Business School Phone: (412) 256-8188 100 International Drive Website: tinglongdai.com Baltimore, MD 21202 Email: [email protected] Academic Positions Johns Hopkins University, Carey Business School Professor, 2021–present Associate Professor, 2018–2021 Assistant Professor, 2013–2018 Hopkins Business of Health Initiative (HBHI) Core Faculty & Member of Leadership Team, 2020–present Johns Hopkins University, School of Nursing Affiliated Faculty, 2018–present Johns Hopkins University, Institute for Data-Intensive Engineering and Science (IDIES) Member of Executive Committee, 2020–present Affiliated Faculty, 2019–present Education Carnegie Mellon University, Tepper School of Business Ph.D. in Industrial Administration, Operations Management/Robotics, 2013 Dissertation: Incentives in U.S. Healthcare Operations Committee: Sridhar Tayur (chair), Katia Sycara (chair), Mustafa Akan, Soo-Haeng Cho, Kinshuk Jerath, & R. Ravi M.S. in Industrial Administration, 2009 Hong Kong University of Science & Technology M.Phil. in Industrial Engineering & Engineering Management, 2006 Advisor: Xiangton Qi; Committee Chair: Jeff L. Hong Tongji University B.Eng. in Automation, 2004 Honors & Awards The World’s Best 40 Under 40 MBA Professors, Poets & Quants, 2021 Johns Hopkins Global MBA Graduation Keynote Speaker, 2021 Management Science Distinguished Service Award, 2018, 2019, 2020, 2021 Tinglong Dai 2 Johns Hopkins Discovery Award, 2020 Wickham Skinner Early Career Award, Runner-Up, 2020 Manufacturing
    [Show full text]
  • Dai and Tayur
    The Evolutionary Trends of POM Research in Manufacturing Tinglong Dai, Johns Hopkins University Sridhar Tayur, Carnegie Mellon University Suggested Reference: Tinglong Dai, Sridhar Tayur. 2017. The Evolutionary Trends of POM Research in Manufacturing. In Routledge Companion to Production and Operations Management. M. Starr and S. Gupta (Eds), pp. 647–662. London, U.K: Routledge. 1 Chapter 37 The Evolutionary Trends of POM Research in Manufacturing Tinglong Dai and Sridhar Tayur 1 Introduction: Creating Wealth and Happiness, Massively What are we talking about when we speak of “manufacturing”? The U.S. Census Bureau defines the manufacturing sector as the collection of “establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products,” which does not seem satisfying to readers who wonder: What exactly is the purpose of manufacturing? Manufacturing has created wealth and happiness in a massive way, and has been responsible for achieving a global improvement in the quality of human life. In his "Report on Manufactures" (1791, p. 240), Alexander Hamilton wrote that: Not only the wealth; but the independence and security of a Country, appear to be materially connected with the prosperity of manufactures. Every nation, with a view to those great objects, ought to endeavour to possess within itself all the essentials of national supply. These comprise the means of subsistence, habitation, clothing, and defence. The simultaneously complementary and substitutive relationship between manufacturing, technology, labor, and capital complicates the situation. The manufacturing sector contributed to just 11% of the value added to U.S. GDP in 2012, a significant decline from 25% in 1970.
    [Show full text]
  • Sridhar Tayur Ford Distinguished Research Chair University Professor of Operations Management Carnegie Mellon University Sridhar
    Sridhar Tayur Ford Distinguished Research Chair University Professor of Operations Management Carnegie Mellon University Sridhar Tayur is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. He received his Ph.D. in Operations Research and Industrial Engineering from Cornell University and his undergraduate degree in Mechanical Engineering from the Indian Institute of Technology (IIT) at Madras (where he is a Distinguished Alumnus Award winner). He is an INFORMS Fellow, a Distinguished Fellow of MSOM Society and has been elected to the National Academy of Engineering (NAE). He has been a visiting professor at Cornell, MIT and Stanford. Academic: He has published in Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming, Stochastic Models, Queuing Systems, Transportation Science, POMS, IIE Transactions, NRLQ, Journal of Algorithms and MSOM Journal. He has served on the editorial boards of Operations Research, MSOM Journal, Management Science, IIE Transactions and POMS. He served as President of MSOM Society. He has co-edited Quantitative Models for Supply Chain Management (1998) and Handbook of Healthcare Analytics (2018). He has been a finalist for the Lanchester Prize and is an Edelman Laureate. He has won the Healthcare Best paper Award by POMS and the INFORMS Pierskalla Award for best paper in Healthcare. He has won the Gerald L. Thompson Teaching Award in the B.S. Business Administration Program, the George Leland Bach Excellence in Teaching Award given by MBA students, the INFORMS Teaching Case award, and has been named as a ‘Top Professor’ by Business Week. Consulting and Executive Education: He has consulted for startups (such as Massive Incorporated, acquired by Microsoft), several Fortune 500 companies – Intel, Deere, Caterpillar, ConAgra Foods for example – and has been a consultant to the firm of McKinsey & Company.
    [Show full text]
  • Springer.De Springer.Com
    ABABCCD springer.despringer.com Forthcoming Electromagnetic Radiation of Electrons in Periodic Structures Due March 2011 A. P. Potylitsyn, Tomsk Polytechnic University, Tomsk, Russia Features 7 Offers a unified description of electromagnetic radiation in periodic structures, both theory and experiments 7 Discusses radiation generated in periodic structures in detail, plus diffraction radiation from relativistic electrons 7 Presents Smith-Purcell radiation, radiation of fast electrons in laser flash fields, and polarization radiation excited by the Coulomb field of incident particles 7 Provides in-depth information on diffraction radiation from relativistic electrons Periodic magnetic structures (undulators) are widely used in accelerators to generate mono- chromatic undulator radiation (UR) in the range from far infrared to the hard X-ray region. Another periodic crystalline structure is used to produce quasimonochromatic polarized photon beams via the coherent bremsstrahlung mechanism (CBS). Due to such characteris- 2011. 250 p. 150 illus. (Springer Tracts tics as monochromaticity, polarization and adjustability, these types of radiation is of large in Modern Physics, Volume 243) interest for applied and basic research of accelerator-emitted radiation. The book provides a Hardcover detailed overview of the fundamental principles behind electromagnetic radiation emit- ISBN 978-3-642-19247-0 ted from accelerated charged particles (e.g. UR, CBS, radiation of fast electrons in Laser flash fields) as well as a unified description of relatively new radiation mechanisms which 7 approx. € 149,95 | £135.00 attracted great interest in recent years. This are the so-called polarization radiation excited 7 approx. * € (D) 160,45 | € (A) 164,94 | sFr 215,00 by the Coulomb field of incident particles in periodic structures, parametric X-rays, resonant transition radiation and the Smith-Purcell effect.
    [Show full text]
  • Sessions for Friday, May 05 1
    Sessions for Friday, May 05 Friday, 08:00 AM - 09:30 AM Friday, 08:00 AM - 09:30 AM, Evergreen A Track: Healthcare Operations Management Learning in Healthcare Organizations 1 Session: Chair(s): Lawrence Fredendall 073-0858 Technology Transition in Surgical Care: A Study of Robotic Surgical Procedures Ujjal Mukherjee, Assistant Professor, University of Illinois Urbana-Champaign, United States Kingshuk Sinha, Professor, University of Minnesota, United States New technology in healthcare improves quality and productivity. However, the benefits of new technology in healthcare are realized through doctors' learning the new technology. In this paper, we conduct an empirical field study of a hospital's strategy to successfully transition from manual laparoscopic surgical procedures to robotic surgical procedures. 073-0450 Multi-Year Model Predicting Patient Satisfaction Based on Wait Times Quinton Nottingham, Associate Professor, Virginia Polytechnic Institute And State University, United States Dana Johnson, Professor, Michigan Technological University, United States Roberta Russell, Professor, Virginia Polytechnic Institute And State University, United States The purpose of this research is to model the impact of waiting times in waiting and exam rooms as predictors of patient satisfaction using data collected over a 3- year period. Models will include wait times, clinic type, gender, age, and other variables to determine their impact on overall patient satisfaction. 073-0525 Lean and Six Sigma in Healthcare: The Imperfect Arbitrage Edward Anderson, Professor, University of Texas Austin, United States The implementation of lean and six sigma process improvement in healthcare has had some notable success, but successful implementation remains incomplete and spotty. We highlight the issues that cause this, particularly in clinics and primary practices and offer some solutions based on case studies.
    [Show full text]
  • Sridhar Tayur Is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’S Tepper School of Business
    Sridhar Tayur is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. He received his Ph.D. in Operations Research and Industrial Engineering from Cornell University and his undergraduate degree in Mechanical Engineering from the Indian Institute of Technology (IIT) at Madras (where he is a Distinguished Alumnus Award winner). He is an INFORMS Fellow, a Distinguished Fellow of MSOM Society and has been elected to the National Academy of Engineering (NAE). He has been a visiting professor at Cornell, MIT and Stanford. Academic: He has published in Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming, Stochastic Models, Queuing Systems, Transportation Science, POMS, IIE Transactions, NRLQ, Journal of Algorithms and MSOM Journal. He has served on the editorial boards of Operations Research, MSOM Journal, Management Science, IIE Transactions and POMS. He served as President of MSOM Society. He has co-edited Quantitative Models for Supply Chain Management (1998) and Handbook of Healthcare Analytics (2018). He has been a finalist for the Lanchester Prize and is an Edelman Laureate. He has won the Healthcare Best paper Award by POMS and the INFORMS Pierskalla Award for best paper in Healthcare. He has won the Gerald L. Thompson Teaching Award in the B.S. Business Administration Program, the George Leland Bach Excellence in Teaching Award given by MBA students, the INFORMS Teaching Case award, and has been named as a ‘Top Professor’ by Business Week. Consulting and Executive Education: He has consulted for startups (such as Massive Incorporated, acquired by Microsoft), several Fortune 500 companies – Intel, Deere, Caterpillar, ConAgra Foods for example – and has been a consultant to the firm of McKinsey & Company.
    [Show full text]
  • Quantum and Quantum-Inspired Methods for De Novo Discovery of Altered Cancer Pathways
    bioRxiv preprint doi: https://doi.org/10.1101/845719; this version posted November 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Quantum and Quantum-inspired Methods for de novo Discovery of Altered Cancer Pathways Hedayat Alghassi∗1, Raouf Dridiy1, A. Gordon Robertsonz2, Sridhar Tayur§1 1Quantum Computing Group, Tepper School of Business, Carnegie Mellon University 2Canada’s Michael Smith Genome Sciences Center, BC Cancer Agency November 17, 2019 Abstract The combinatorial calculations for de novo discovery of altered pathways in can- cer cohorts involve both coverage (i.e. recurrence) and mutual exclusivity, and solving mutual exclusivity problems is NP-hard for classical computers. Advances in quantum computing systems and our classical, quantum-inspired algorithm GAMA (Graver Aug- mented Multi-seed Algorithm) motivated us to revisit methods for identifying altered pathways. Using different types of quantum and classical algorithms, we report novel formulations of the problem that are tailored to these new computational models. Our formulations require fewer binary variables than available methods, and offer a tuning parameter that allows a trade-off between coverage and exclusivity; varying this param- eter returns a variety of solutions. We illustrate our formulations and methods with TCGA mutation data for Acute Myeloid Leukemia (AML). Both the D-Wave quan- tum annealing solver and the classical GAMA solver returned altered pathways that are known to be important in AML, with different tuning parameter values returning alternative altered pathways. Our reduced-variable algorithm and QUBO problem for- mulations demonstrate how quantum annealing-based binary optimization solvers can be used now in cancer genomics.
    [Show full text]