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X-WR-CALDESC:Events for IORA - Institute of Operations Research and Analytics
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TZID:Asia/Singapore
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20250401T100000
DTEND;TZID=Asia/Singapore:20250401T113000
DTSTAMP:20260421T082329
CREATED:20250321T031632Z
LAST-MODIFIED:20250321T031700Z
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SUMMARY:DAO-ISEM-IORA Seminar Series: Vinod Singhal
DESCRIPTION:Name of Speaker\nVinod Singhal\n\n\nSchedule\n1 April 2025\, 10am – 11.30am\n\n\nVenue \nBIZ1 02-06\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/KIy_WyM9SIioyfk8l5-XzQ\n\n\nTitle\nThe Bullwhip Effect and Stock Returns\n\n\nAbstract\nThe bullwhip effect (BWE) is an important phenomenon in the operations and supply chain management field. Although it is commonly accepted that the BWE is widespread and can have a significant adverse impact on financial performance\, there is surprisingly limited objective evidence on the financial consequences of the BWE. This paper examines the impact of the BWE on financial performance by examining the relationship between the BWE and stock price performance. The empirical analysis is based on data from 1985 to 2018 from about 7\,200 publicly traded firms and about 64\,000 firm-years. We find that most results on the impact of the BWE on stock returns are statistically indistinguishable from zero. The few marginally significant results that we find suggest a positive relationship between the BWE and stock returns rather than the expected negative relationship. However\, these marginally significant results do not hold when alternate methods are used to test the relationships. These conclusions are robust when we segment the sample by size\, industry\, and time periods. We also do not find a significant relationship between the BWE and stock returns for samples based on the propagation of the BWE from customers to suppliers. We do find some evidence to suggest that the BWE has a negative impact on inventory turnover. However\, we do not find similar evidence for capacity utilization. The relationships between the BWE and return on assets measures are statistically insignificant. For margin measures\, the relationships are positive and statistically significant but not economically significant.\n\n\nAbout the Speaker\nVinod Singhal is the Charles W. Brady Chair Professor of Operations Management at the Scheller College of Business at Georgia Institute of Technology\, Atlanta\, USA. He has a Ph.D. from University of Rochester\, Rochester\, USA. Prior to joining Georgia Tech.\, he worked as a Senior Research Scientist at General Motors Research Labs. \nVinod’s research has focused on the impact of operating decisions on accounting and stock market-based performance measures. His research has been supported through grants from the US Department of Labor\, National Science Foundation\, the American Society of Quality\, and the Sloan Foundation. He has published extensively in academic journals and has made more than 200 presentations at different universities. His research has been recognized in the practitioner community through his many articles in industry-practitioner journals and frequent invited presentations as keynote speaker at practitioner conferences. His research has been cited over 200 times in practitioner publications such as Business Week\, The Economist\, Fortune\, Smart Money\, CFO Europe\, Financial Times\, Investor’s Business Daily\, and Daily Telegraph.  His research has been extensively cited in academic publications\, with nearly 15\,000 citations. His paper “An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm” was voted by the POMS members in 2024 as one of the top-ten papers published in Production and Operations Management in the last 30 years. \nVinod is a Departmental Editor of Production and Operations Management\, and Associate Editor of Management Science. He is a Fellow of the Production and Operations Management Society.  He served on the Academic Advisory Board of the European School of Management and Technology\, Germany. \nVinod’s teaching interests include operations strategy and supply chain management. He has contributed to teaching at an international level\, as well\, by offering research workshops in countries including Australia\, China\, France\, Germany\, Hong Kong\, India\, New Zealand\, Singapore\, South Korea\, Spain\, Sweden\, and United Kingdom.
URL:https://iora.nus.edu.sg/events/dao-isem-iora-seminar-series-vinod-singhal/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20250403T100000
DTEND;TZID=Asia/Singapore:20250403T113000
DTSTAMP:20260421T082329
CREATED:20250413T134538Z
LAST-MODIFIED:20250413T134609Z
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SUMMARY:DAO-ISEM-IORA Seminar Series: Yuan Jun
DESCRIPTION:Name of Speaker\nYuan Jun\n\n\nSchedule\n3 April 2025\, 10am – 11.30am\n\n\nVenue \nE1A-06-21/22 ISEM Conference Room\n\n\nLink to Register\nhttps://nus-sg.zoom.us/j/86085218517?pwd=dsPDs32AiGCCrD8kYeSb0hgd1WbHj2.1\n\n\nTitle\nOptimal Planning of Electric Ship Charging Station Using Noisy-Expensive Constrained Bayesian Optimization\n\n\nAbstract\nShipping plays a critical role in global transportation and is also a significant contributor to global carbon emissions. As environmental concerns continue to grow\, the maritime industry faces increasing pressure to reduce its carbon footprint. In this context\, electric ships\, with their potential for low emissions and environmental sustainability\, have garnered considerable attention. However\, their application for long-distance transportation is currently limited by challenges such as battery capacity constraints and a lack of charging infrastructure. The strategic placement of charging stations is therefore essential for advancing the use of electric ships. This paper aims to design an on-shore electric ship charging station that integrates renewable energy sources—namely wind and photovoltaic power—with an energy storage system. Planning for these charging stations is complex due to the uncertainty of power generation from renewable sources and the fluctuating demand for charging services. Additionally\, the developed model is intricate\, time-consuming\, and subject to noisy and expensive constraints. To address these challenges\, this study proposes a Bayesian optimization method tailored to noisy and expensive constrained environments\, enabling efficient optimization of the complex simulation model. The findings of this research offer valuable insights for decision-making regarding the development of on-shore electric ship charging stations. Furthermore\, they provide a foundation for exploring business models that align with the growth of the electric shipping industry\, fostering mutually beneficial outcomes for all stakeholders involved.\n\n\nAbout the Speaker\nYuan Jun is an Associate Professor with China Institute of FTZ Supply chain\, Shanghai Maritime University. He received his B.E. degree in Industrial Engineering and Management from Shanghai Jiao Tong University in 2008\, and the Ph.D. degree in Industrial and Systems Engineering from National University of Singapore in 2013. From 2014-2017\, he worked as a Research Fellow at National University of Singapore. He got the Young Oriental Scholar in 2017. In the past five years\, he has published more than 20 SCI papers in Energy\, Applied Energy\, IISE Transactions\, TOMACS etc.\, held or participated in more than 15 scientific research projects funded by the National Natural Science Foundation of China\, the Shanghai Municipal Science and Technology Commission\, the U.S. Energy Fund etc. His research interests include energy systems modeling\, shipping energy systems\, integrated port energy systems\, computer simulation and optimization.
URL:https://iora.nus.edu.sg/events/dao-isem-iora-seminar-series-yuan-jun/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20250404T100000
DTEND;TZID=Asia/Singapore:20250404T113000
DTSTAMP:20260421T082329
CREATED:20250321T031337Z
LAST-MODIFIED:20250321T031337Z
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SUMMARY:DAO-ISEM-IORA Seminar Series: Paat Rusmevichientong
DESCRIPTION:Name of Speaker\nPaat Rusmevichientong\n\n\nSchedule\n4 April 2025\, 10am – 11.30am\n\n\nVenue \nBIZ1 03-02\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/Lapg-26pTU620yd5j7DDAw\n\n\nTitle\nAn Endogenous Multinomial Logit Model with Population-Based Purchase Feedback\n\n\nAbstract\nWe develop a choice model that incorporates feedback from a population of customers making a purchase within the assortment of offered products. Each customer posts feedback on the product that she purchases within an offered product assortment. The feedback is obtained by applying a feedback function to the utility that the customer derives from her purchased product. When another customer is to make a purchase within the assortment\, she uses the expected feedback from the customers with purchases to form a reference point. Therefore\, the utility of a product has three components: intrinsic deterministic utility\, Gumbel distributed idiosyncratic term and reference effect. The utility of a product is determined through a fixed point\, as the utility depends on the reference effect\, which\, in turn\, depends on the utilities of the products in the assortment. We give a closed-form expression for the choice probabilities for a broad class of feedback functions that can even have discontinuities. We develop an efficient algorithm to compute the revenue-maximizing assortment when the customers choose under our choice model. We study the pricing problem under our choice model\, giving structural properties of the optimal prices\, which ultimately yield an efficient algorithm for computing the revenue-maximizing prices. We also provide necessary and sufficient conditions for the convexity of the negative log-likelihood function. Our computational experiments demonstrate that our choice model can help predict the choices of the customers better than a number of benchmarks.\n\n\nAbout the Speaker\nPaat Rusmevichientong is the Justin Dart Professor of Operations Management and Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. Prior to joining the Marshall School\, he was a faculty in the School of Operations Research and Information Engineering at Cornell University. His research interests focus on revenue management\, choice modeling\, pricing\, assortment optimization\, and large-scale dynamic programming. From 2003 through 2004\, he worked in the data mining and personalization group at Amazon.com. He received BA (1997) in Mathematics from University of California\, Berkeley\, and MS (1999) and PhD (2003) in Operations Research from Stanford University. He is a member of INFORMS.
URL:https://iora.nus.edu.sg/events/dao-isem-iora-seminar-series-paat-rusmevichientong/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20250423T100000
DTEND;TZID=Asia/Singapore:20250423T113000
DTSTAMP:20260421T082329
CREATED:20250413T134048Z
LAST-MODIFIED:20250413T134048Z
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SUMMARY:DAO-ISEM-IORA Seminar Series: Bernhard von Stengel
DESCRIPTION:  \n\n\n\nName of Speaker\nBernhard von Stengel\n\n\nSchedule\n23 April 2025\, 10am – 11.30am\n\n\nVenue \nBIZ1 03-02\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/AWc8AlsiQo67S7-kKnLwmQ\n\n\nTitle\nFinding an Empirical Equilibrium by Machine Learning in a Pricing Game\n\n\nAbstract\nWe apply machine learning to a classical multi-period pricing game. The game is a duopoly with demand inertia\, introduced by Selten in 1965 and studied around 1990 with economic experiments. Its strategies are too complex to represent explicitly. Unlike standard multi-agent reinforcement learning of training agents against each other\, our framework is that of a Policy-Space Response Oracle (PSRO) and the “double oracle” method. A few initial strategies that play against each other define a “meta-game”. A Nash equilibrium of this meta-game is computed and defines the training environment for a learning agent. Once the agent is sufficiently trained to get a higher payoff than in the current equilibrium\, it is added as a new strategy to the meta-game\, which expands in this way\, and the process repeats. Various learning methods such as SAC (Soft Actor Critic) and PPO (Proximal Policy Optimisation) lead to different limit equilibria in this setup\, namely either competitive pricing or cooperative price collusion in the duopoly. \n(Joint work with Sahar Jahani and Rahul Savani)\n\n\nAbout the Speaker\nBernhard von Stengel is Professor of Mathematics at the London School of Economics which he joined in 1998\, after studies in Germany and the USA. He has been communications officer of the Game Theory Society\, and was program chair of the GAMES 2016 congress (held jointly with EC’2016) in Maastricht. He is interested in mathematical questions of game theory. The geometry and computation of Nash equilibria is one of his research specialities.\n\n\n\n 
URL:https://iora.nus.edu.sg/events/dao-isem-iora-seminar-series-bernhard-von-stengel/
CATEGORIES:IORA Seminar Series
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