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Plenary Speakers

Monday, June 17

Tamás Terlaky

Tamás Terlaky

Lehigh University, USA

70 and 40 Years of Interior Point Methods (IPMs)

70 years ago, in 1954, Ragnar Frish proposed a “Logarithmic Potential Method” to solve Linear Optimization (LO) problems, and he also extended the methodology to solve convex optimization problems. In 1969, Fiacco and McCormick studied and expanded the logarithmic barrier methodology as SUMT: Sequential Unconstrained Minimization Technique. The modern age of polynomial time IPMs has been launched by Karmarkar’s 1984 paper. In the past four decades, IPMs transformed the way we think of optimization; expanded the scope of efficiently solvable optimization problems from linear to smooth-convex and conic LO. The powerful methodology of IPMs impacted most areas of optimization, including general nonlinear and combinatorial optimization, and most recently quantum computing optimization. This talk reviews the major milestones of the 7 decades of the Interior Point Revolution.

Tuesday, June 18

Augustine O. Esogbue

Augustine O. Esogbue

Georgia Institute of Technology, USA

Dynamic Programming, A Guided Tour: From Curse to Computational Intelligence, to Learning and Control 

Dynamic programming (DP), according to my advisor Bellman, its inventor, a misnomer for the mathematical theory of multistage decision processes, is one of the most powerful tools in Operations Research and Control Theory in our time. Its appeal in addressing a wide array of problems in diverse fields of endeavor was only limited by what Bellman termed in the late 50s and early 60s as the Curse of Dimensionality. This so called Curse referred to the appearance of n, the dimension of the state variable as an exponent in the number of rapid access memory required to solve any problem. This exponential rather than linear growth in memory requirements with the problem size rendered DP less attractive even though it usually guaranteed globally optimal solutions to most problems formulated.
 
Over the years, the future of DP in applied optimization appeared rested on advances in computational devices technology as well as adroit problem formulations and studios. Computational algorithm development is also usually always stimulated by interest in modeling and solving complex real world problems. These abound in many sectors especially those in societal systems.
 
Developments in Advanced Computational Intelligence as well as artificial Intelligence, have added a boom to the state of the art and appeal of dynamic programming. In this plenary,  we discuss some of these resultant experiences leading to an impressive knowledge base in computational dynamic programming. 

Wednesday, June 19

Andres Medaglia

Andrés Medaglia

Universidad de los Andes, Colombia

A (Not So) Shortest Path: Models, Solutions, and Applications

Shortest path structures are behind the solution of hard combinatorial problems in transportation and logistics (and beyond). This talk covers a personal journey on modeling shortest path problems, devising solution techniques, and unveiling embedded network structures that have opened the door for tackling pressing sustainability challenges.

Keynote Speakers

Monday, June 17

Robert Ashford

Robert Ashford

Optimization Direct, USA

Optimization: Past, Present and Future

Optimization, particularly in the form of linear programming and mixed integer programming, has emerged as the most powerful and widely-used tool in the field of Operations Research. Its applications span across virtually all industries and enterprises, revolutionizing decision-making processes and driving operational efficiency. This talk explores the essence of optimization and its practical applications, tracing the evolution of software and solution methods from their early beginnings to the present day. It highlights the significant advancements brought about by new mathematical methods and hardware developments. It goes on to look at cutting edge technologies using the latest multi-threaded hardware which push the envelope of applications today. The talk concludes by discussing their likely future development and the impact of Big Data and AI.

Zelda Zabinsky

Zelda Zabinsky

University of Washington, USA

Insights Into Scalable Black-box Global Optimization

Optimization algorithms are addressing large-scale problems, with millions of variables that have complex interactions. Machine learning is creating models from huge data sets and large numbers of model parameters and hyper-parameters. How is this possible? A key issue is how to dynamically allocate computational effort efficiently in the search for the global optimum. This talk will provide some insights into how to adapt sampling distributions to achieve desirable performance in high dimensions. It will summarize finite-time analyses of adaptive random search methods to shed some light on important features of scalable algorithms.  New results on the use of partitioning the domain to address heterogeneity of the response with the use of surrogate modeling, e.g., Gaussian processes, will be presented.  The finite-time analyses provide an interpretation of the balance between exploration and exploitation while maintaining scalable algorithms.

Tarkan Tan

Tarkan Tan

University of Zürich, Switzerland

Collaborate for Good: Orchestrating Sustainability in Supply Chains

Firms are under increasing pressure from their stakeholders to adopt sustainability measures. However, the risks and opportunities associated with sustainability go beyond a firm’s own operations and extend to their supply chain partners. In this talk, we will explore ways in which firms can enhance sustainability in their supply chains through collaboration.

Tuesday, June 18

Yuehwern Yih

Yuehwern Yih

Purdue University, USA

Beyond Topics: Engineering Change

How can we, as academic researchers, contribute to policies, practices, or support communities in need? Join us as we discuss how we could expand our current research practices and knowledge to shorten the pathway of research to impact, and share a personal journey in translational research, and the lessons learned. In this talk, we will reveal the ERT (Embedded Research Translation) framework to narrow the gap between research and real-world applications, synthesizing insights from 50 research projects across 21 countries, funded by the US Agency for International Development. The ERT framework was designed to source academic research to support evidence-based policymaking, practices, and funding priorities in advancing United Nations Sustainable Development Goals, such as no poverty, zero hunger, and good health.

Jan C. Fransoo

Jan C. Fransoo

Tilburg University, Netherlands

Retail Operations in Emerging Markets: Digital Transformation of the Traditional Retail Channel

Across emerging markets, 50 million nanostores – of which 5 million in Latin America – serve about 4 billion consumers with their daily groceries. Collectively, they are the largest client of many multinational manufacturers of consumer-packaged goods. These mom-and-pop operated stores are undergoing a multi-faceted digital transformation, that has the power to improve the livelihoods of millions of shopkeepers and to increase the access to affordable food for billions of consumers.

In his talk, Professor Fransoo will present recent research findings of empirical and model-based work that help understanding the operational dynamics and strategic performance of the channel, and outline further research opportunities for both empirical and model-based researchers across Latin America.

Benoit Montreuil

Benoit Montreuil

Georgia Institute of Technology, USA

Hyperconnecting Supply Chain and Logistics Ecosystems to Enable and Leverage the Physical Internet

The emerging Physical Internet enables reframing supply chain and logistic ecosystems to address concurrent global challenges toward higher efficiency, equitability, resilience, responsiveness, scalability, security, and sustainability in a world that is evolving fast in terms of technological capabilities and is becoming ever more complex, prone to disruptions, volatile, and uncertain.

Enabling and leveraging the Physical Internet requires transformative decisions and actions about hyperconnecting supply, manufacturing, logistics, and transportation networks and operations to ease open resource sharing and flow consolidation at grand scope and scale. Building on collaborations with academic, business, and public partners, we present novel streams of Physical Internet research opening ways for this community to have major academic, economic, environmental, and societal impact.

Saif Benjaafar

Saif Benjaafar

University of Michigan, USA

Operations in the Age of the Sharing Economy: What is Old and What is New?

The sharing economy – a term we use to refer to business models built around on-demand access to products and services mediated by online platforms that match many small suppliers or service providers to many small buyers – has emerged as an important area of study in operations. We first describe three “canonical” applications that have garnered much attention from the operations community: (1) peer-to-peer resource sharing, (2) on-demand service platforms, and (3) on-demand rental networks. We use these applications to highlight distinguishing features of sharing economy business models and to point out research questions that are new. For each application, we describe our attempt at addressing some of these questions. We conclude by drawing connections between classical operations theory/models and theory/models that have been used to study sharing economy applications.

Wednesday, June 19

Dionne Aleman

Dionne Aleman

University of Toronto, Canada

Pandemic Planning from A (agent-based simulation) to V (vaccine prioritization)

During COVID-19, numerous operations research tools to evaluate public policies emerged. This presentation covers experiences working with Newfoundland and Labrador (Canada), and changes to usual O.R. processes needed for real-world implementation and communication with nontechnical decision-makers.