On behalf of the Supply Chain and Operations Management Area of the Daniels School of Business at Purdue University, we are delighted to welcome you to the 2024 Purdue Operations Conference.
This year’s conference is being held on the West Lafayette campus of Purdue University, and we are excited to host faculty members and doctoral students in Operations Management and Operations Research from various institutions.
This conference is motivated by two major trends observed in today's business world. One is the rapid evolution of technologies and how data plays an increasing role in daily operations among a wide and varied range of organizations. The other is the long-term impacts of the pandemic, climate changes and economic turbulence on changing many business processes and practices. Both induce rapid changes in the practice of operations management, inspiring researchers to rethink our modeling and analysis. Our goal for this conference is to bring together leading and young scholars, including senior students, to share their latest work, learn from one another, and spark new ideas and research collaborations. With the diverse expertise of our faculty in the Supply Chain & Operations Management (SC&OM) area and the generous support from the Daniels School of Business, we aim to create a dynamic academic platform. This platform will foster open discussions among faculty and Ph.D. students, ultimately contributing to shaping the future of operations management through impactful research.
The conference program includes multiple keynote lectures, parallel sessions featuring dedicated student sessions to maximize attention to student presentations, and engaging panel discussions. Topics will range from theoretical and methodological research to empirical studies and case studies. This diverse array of sessions is designed to provide student attendees with ample opportunities to interact closely with invited faculty members and fellow Ph.D. students who share similar research interests and career aspirations.
We are thrilled to have colleagues from over 50 universities joining us for this enriching two-and-a-half-day event. Your participation is highly valued, and we look forward to the stimulating discussions, networking opportunities, and collaborations that will emerge from this conference. Thank all of you for being a part of the 2024 Purdue Operations Conference. We hope you have a productive and enjoyable experience.
Supply Chain & Operations Management Area
Mitch Daniels School of Business
August 22-25, 2024
Daniels School of Business
Purdue University
West Lafayette, IN 47907
In 2022, Purdue announced a major initiative to reimagine the School of Management into a new School of Business that will redefine the preparation of business leaders, grounded in the hallmarks of a Purdue education, including STEM disciplines and business analytics. Graduates from the School of Business will be uniquely positioned to bring discoveries to the marketplace, scale up innovations and effect societal change. On February 3, 2023, Purdue’s business school was formally renamed the Mitchell E. Daniels, Jr. School of Business, honoring the 12th president of Purdue. The school will achieve excellence at scale by increasing enrollment and faculty size and housing them in a state-of-the-art facility, while integrating business with the university’s world-renowned strength in STEM fields. Students will be provided with expanded transformational experiential learning opportunities as they are taught to better communicate the importance of business to effectively build bridges between technology and humanity.
The Supply Chain & Operations Management (SC&OM) Area has consistently retained high rankings in educational programs, and an increasingly strong reputation of faculty research among top institutes. Our educational program has a unique reputation for training students with data-driven problem-solving skills to address issues in supply chain and operations management with a significant emphasis on global contexts. In the 2024 U.S. News & World Report rankings, our undergraduate programs are listed #8 in Production/Operations Management and #10 in Supply Chain Management/Logistics, and our graduate programs are listed #3 in Production/Operations Management and #7 in Supply Chain Management/Logistics.
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Time |
Location |
Event |
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6:00 pm - 8:00 pm |
Hampton Inn |
Welcome Reception and Dinner |
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Time |
Location |
Event |
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7:30 AM - 8:00 AM |
Registration and Refreshments |
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8:00 AM - 8:30 AM |
STEW 302 |
Opening Remark Mohit Tawarmalani (Associate Dean) |
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8:30 AM - 9:15 AM |
STEW 302 |
Keynote Speech Panos Kouvelis ( Washington University in St. Louis ) Title: Overview & insights on integrated supply chain finance (iSCF) research: A supply chain-centric view of working capital, hedging, and risk management |
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9:15 AM - 9:30 AM |
Coffee Break |
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9:30 AM - 10:15 PM |
STEW 302 |
Keynote Speech Suresh Sethi (University of Texas at Dallas) Hierarchical and mixed leadership games for dynamic supply chains: Applications to cost learning and co-op advertising |
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10:15 AM - 10:30 AM |
Coffee Break |
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10:30 AM - 12:30 PM |
STEW 202 |
Session 1 Jingjing Weng (Temple University) Advice provision in the pandemic: The impact of information granularity on social protection Lin Zang (University of Rochester) The impact of information-granularity and prioritization on patients’ care modality Catherine Wang (University of Wisconsin-Madison) Extended CNA Training Hours and Its Impact on Nursing Homes Ling Li (Indiana University) Failures of health equity: An examination of bias in healthcare treatment |
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STEW 204 |
Session 2
Mengzi Amy Guo (University of California, Berkeley) Last-iterate convergence in no-regret learning: Games with reference effects under Logit demand Shukai Li (Northwestern University) LEGO: Optimal online learning under sequential price competition Hanzhao Wang (Imperial College London) Transformers as operations manager |
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STEW 206 |
Session 3
Tsai-Hsuan Chung (Wharton School) Optimizing health supply chains with decision-aware learning Ragıp Gürlek (Emory University) Emergency department wait time forecasts: Outdoing complex machine learning with parametric models Shanshan Luo (University of British Columbia) Mass vaccination scheduling: Trading off infections, throughput, and overtime |
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12:30 PM - 2:00 PM |
STEW 206 |
Lunch |
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2:00 PM - 4:00 PM |
STEW 202 |
Session 1 Rachel Chen (UC Davis) Selling professional products under expertise migration uncertainty Xuying Zhao (TXA&M) A model of shoppertainment live streaming Yuan Guo (George Washington University) A bilevel view for fluid stockout-based substitution Annabelle Feng (Purdue) Cross learning and co-learning with Operational Data Analytics (ODA) |
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STEW 204 |
Session 2 Parshan Pakiman (Columbia University) Dynamic assignment of jobs to workers with learning curves Binghan Kou (Arizona State University) Familiarity-based dynamic pricing with hierarchical bayes estimation of consumer choice Yang Yang (Purdue) The operational data analytics (ODA) for service speed design William Haskell (Purdue) Learning to price supply chain contracts against a learning retailer |
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STEW 206 |
Session 3 Ozge Yapar (Indiana University) Conditional approval and value-based pricing for new health technologies Emily Zhu (Texas State University) Designing specialist-response policies in hospital emergency departments Eojin Han (University of Notre Dame) Dynamic capacity management for deferred surgeries Zhan Pang (Purdue) Public reporting and payment incentives in hospital markets |
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4:00 PM - 4:30 PM |
Coffee Break |
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4:30 PM - 6:00 PM |
STEW 202 |
Session 1 Yu Jiang (University of Tennessee) How do gender and ethnic diversity impact consumer returns? Yiyao Zhou (University College London) How do robots affect firms’ innovation performance? Evidence from Spanish manufacturers Henry Lin (University of California, Irvine) Empowering or exploiting? The implications of direct market access for improving smallholder farmers' welfare |
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STEW 204 |
Session 2 Renjie Cui (University of Zurich) Research directions in alternative fuel vehicle transitions for commercial fleets Elif Kuscu (University of Zurich) Who leads the way? Buyer vs. supplier initiatives in supply chain carbon footprint reduction Wenjie Tu (University of Zurich) Promoting circular supply chains under repair heterogeneity |
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STEW 206 |
Session 3 Akshit Kumar (Columbia) Dynamic resource allocation: algorithmic design principles and spectrum of achievable performances Zhong Zheng (PSU) Optimal online learning of linear inflation rules under the random yield Rahul Roy (UNC) Data-driven dynamic assortment in online platforms: Learning about two sides |
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6:00 PM - 8:00 PM |
RAWL 3011 | Dinner |
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Time |
Location | Event |
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7:30 AM - 8:30 AM |
Refreshments |
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8:30 AM - 10:00 AM |
RAWL 2058 |
Session 1 Shilin Yuan (Tsinghua University) A minibatch-SGD-based learning meta-policy for inventory systems with myopic optimal policy Minda Zhao (Georgia Institute of Technology) Policy gradient methods for finite horizon markov decision process and applications in operations models Minmin Zhang (University of Texas at Dallas) A multi-treatment forest approach for analyzing the heterogeneous effects of team familiarity |
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RAWL 2070 |
Session 2 Kerim U. Kizil (Texas A&M University) Robotic mobile fulfillment systems: Frameworks for performance analysis Chengyi Lyu (University of Colorado Boulder) Customer reward programs for two-sided markets Chonghuan Wang (MIT) Data-driven price optimization: From observational study to experimental design |
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RAWL 2082 |
Session 3 Farbod Ekbatani (University of Chicago) Online matching with cancellation costs Fatemeh Farajzadeh (Worcester Polytechnic Institute) Optimizing sponsored humanitarian parole Haoting Zhang (University of California, Berkeley) Language prompt selection via simulation optimization |
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10:00 AM - 10:30 AM |
Coffee Break |
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10:30 AM - 12:00 PM |
RAWL 2058 |
Session 1 Natalie Huang (University of Minnesota) Fighting plastic pollution: Product ban regulation and voluntary compliance Owen Wu (Indiana University) Renewable, flexible, and storage capacities: Friends or foes? Qiong Wang (University of Illinois Urbana-Champaign) Policy interventions for combating lead pollution in Bangladesh: Model and analysis of a circular supply chain |
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RAWL 2070 |
Session 2 Philipp Afèche (University of Toronto) Effectiveness of supply-side financial incentives in ride-hailing networks with spatial demand imbalance and strategic drivers Ricky Root-Green (University of Rochester) Foresee the next line: Customer strategies and information disclosure in tandem queues Andy Lin (Purdue University) Optimal control of single-server queues: A wait-time-based approach |
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RAWL 2082 |
Session 3 Mili Mehrotra (University of Illinois Urbana-Champaign) Nudging patients towards cost-effective providers: Analysis of an insurer's effort-based and cash reward-based mechanisms Jonathan Helm (Indiana University) The role of supply chain in healthcare crises Qi Wang (Boston University) The relative indirect effects of technology bias and implicit bias on racial disparity in service delivery and sepsis mortality |
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12:00 PM - 2:00 PM |
RAWL 3011 |
Lunch |
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2:00 PM - 4:00 PM |
RAWL 2058 |
Session 1 Vishrut Rana (Wharton School) When where watt: Harnessing the value of time and location of electricity generation for renewables Austin Iglesias Saragih (MIT) Solving policy and reverse supply chain design using continuous approximation, monotonicity analysis, and contextual optimization Mohammad Reza Aminian (University of Chicago) Markovian search with socially aware constraints Helen Wang (University of Michigan) 30 million canvas grading records reveal widespread sequential bias and system-induced surname initial disparity |
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RAWL 2070 |
Session 2 Feng Zhu (MIT) Bayesian online multiple testing: A resource allocation approach Yunlong Wang (Shanghai Jiao Tong University, University of Colorado Boulder (Visiting)) New formulations and valid inequalities for the least cost influence problem on social networks Angshuman Pal (Indiana University) Enhancing the wisdom of crowds when experts use algorithmic advice Jiameng Lyu (Tsinghua University) Learning in lost-sales inventory systems with stochastic lead times and random supplies |
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RAWL 2082 |
Session 3 Mengting Chao (University of Maryland) The driver-aide problem in urban areas Feihong Hu (University of Texas at Austin) "Uber" your cooking: The sharing-economy operations of a ghost-kitchen platform Bahar D Viniche (York University and University of Toronto) T actical fleet planning in drone enabled deliveries and predicting drone delivery efficiency in urban areas with GNNs |
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4:00 PM - 4:30 PM |
Coffee Break |
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4:30 PM - 6:00 PM |
RAWL 2058 |
Faculty Session 01 Susan Hunter (Purdue) Properties of two-stage stochastic multi-objective linear programs Prakirt Raj Jhunjhunwala (Columbia University) Optimal congestion signaling to customers with heterogeneous patience Mengshi Lu (Purdue) Contractor selection in project outsourcing via request-for-quote |
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RAWL 2070 |
Student Session 02 Huanwen Shen (Lehigh University) Wasserstein distributionally robust logistic regression with sparse cardinality constraints Jie Wang (Georgia Institute of Technology) Regularization for adversarial robust learning Jian Wu (Purdue University) Contextual data-integrated newsvendor solution with operational data analytics (ODA) |
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RAWL 2082 |
Student Session 03 Lin Chen (INSEAD) Transparent or not? Optimal performance feedback in gamified services Jiannan Xu (University of Maryland) Crafting freelance success: Unveiling the impact of availability on match quality through conversational analytics Yuxin Liu (University of Pittsburgh) Virality of information diffusion on whatsapp |
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6:00 PM - 8:00 PM |
RAWL 3011 | Dinner |
Note: Georgia Perakis' keynote originally scheduled for today has been cancelled due to unforseen circumstances
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Time |
Location | Event |
|---|---|---|
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7:30 AM - 8:00 AM |
Refreshments |
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8:00 AM - 9:30 AM |
RAWL 2058 |
Session 1 Mo Liu (University of North Carolina at Chapel Hill) Learning from click transition data: The effectiveness of greedy pricing policy under dynamic product availability Xiaoyue Gong ( Carnegie Mellon University) How not to overpackage? -- AI for sustainability in HelloFresh's service supply chain Jinglong Zhao (Boston University) A simple approach to causal clustering |
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RAWL 2070 |
Session 2 Michael Li (Harvard University) Balancing optimality and diversity: Enhancing human decision-making through generative curation Shouqiang Wang (UTD) Recommender systems under privacy protection Jiong Sun (Purdue) Managerial incentives, passive ownership, and channel decentralization |
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RAWL 2082 |
Session 3 Yishen Cai (University of Miami) Assortment Optimization of the GoodRx Model Mohammad Amin Farzaneh (University of Texas at Dallas) Leveraging Assortment Similarities for Data-driven Choice Predictions Yukai Huang (Washington University in St. Louis) Beyond basic reusability: Joint inventory and online assortment optimization with a network of evolving resources |
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9:30 AM - 9:45 AM |
Coffee Break |
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9:45 AM -10:30 AM |
RAWL 1086 |
Keynote Speech Huseyin Topaloglu (Cornell University) Incorporating discrete choice models into operations management models |
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10:30 AM - 10:45 AM |
Coffee Break |
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10:45 AM - 11:30 AM |
RAWL 1086 |
Keynote Speech Jay Swaminathan (University of North Carolina at Chapel Hill) Responsible operations management |
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11:30 AM - 12:00 PM |
RAWL 1086 |
Closing Remarks George Shanthikumar/Annabelle Feng |
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12:00 PM - 2:00 PM |
RAWL 3011 | Lunch |
If you need urgent help, please contact Zhan Pang (zpang@purdue.edu | +1 765-701-7866).
Zhan Pang
Lewis B. Cullman Rising Star Professor of Management
403 Mitch Daniels Blvd., West Lafayette, IN 47907-2056
1-765-494-4489 | zpang@purdue.edu
