Resoundingly Human

This podcast is part of a special series featuring the 2022 finalist teams for the INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the most prestigious award for achievement in the practice of O.R. and advanced analytics.

For more than four decades, the Edelman Award has recognized contributions that are transforming how we approach some of the world's most complex problems. Finalists for the Edelman Award have contributed to a cumulative impact of more than $336 billion since the award's inception, as well as countless other nonmonetary benefits. The winner of this year's award will be announced at the 2022 INFORMS Business Analytics Conference, April 3-5.

Joining me for this episode are Peiling Wu-Smith, Research Manager and Technical Fellow, and Kathryn Schumacher, Staff Researcher, both with the Advanced Analytics Center of Expertise in Chief Data & Analytics Office, to discuss the finalist entry from the team at General Motors.

General Motors (GM) is on a journey toward helping to create a world with zero emissions, zero crashes and zero congestion. Decisions on new product content, packaging and pricing are central to this goal and the GM customer experience. Vehicle Content Optimization (VCO) helps GM make these decisions while offering a full-line portfolio of vehicles that meet the vast diversity of customer needs and preferences. Developed entirely within GM, VCO combines advanced consumer market research, discrete choice models and novel optimization algorithms into a user-friendly, fully productionized system which has had a significant impact on GM's Global Vehicle Development process.

This podcast is part of a special series featuring the 2022 finalist teams for the INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the most prestigious award for achievement in the practice of O.R. and advanced analytics.

For more than four decades, the Edelman Award has recognized contributions that are transforming how we approach some of the world's most complex problems. Finalists for the Edelman Award have contributed to a cumulative impact of more than $336 billion since the award's inception, as well as countless other nonmonetary benefits. The winner of this year's award will be announced at the 2022 INFORMS Business Analytics Conference, April 3-5.

Joining me for this episode are Vicki McIntire, Assistant Regional Director for the Denver Regional Office, and Tammy Adams, Senior Advisor for IT and Operations, to discuss the finalist entry from the team representing the U.S. Census Bureau.

The U.S. Census Bureau conducts the Decennial Census every 10 years as mandated in the U.S. Constitution. Prior to the 2020 Census, this was done with manual assignments. In 2020, optimization and machine learning techniques automated the scheduling, workload assignments and management of field data collection. MOJO, an operational control system based on these techniques, provided optimization of caseloads handled by enumerators through a geographic information system. The 2020 Census resolved 99.9% of all addresses in the nation and MOJO, via assignment optimization, provided a productivity increase of over 80%. The system was developed in collaboration with Princeton Consultants as well as others in the private sector and academia.

This podcast is part of a special series featuring the 2022 finalist teams for the INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the most prestigious award for achievement in the practice of O.R. and advanced analytics.

For more than four decades, the Edelman Award has recognized contributions that are transforming how we approach some of the world's most complex problems. Finalists for the Edelman Award have contributed to a cumulative impact of more than $336 billion since the award's inception, as well as countless other nonmonetary benefits. The winner of this year's award will be announced at the 2022 INFORMS Business Analytics Conference, April 3-5.

Joining me for this episode are Andrés Couve, the Chilean Minister of Science, Technology, Knowledge and Innovation, Leonardo Basso, Professor with the Universidad de Chile in the Civil Engineering Department and Director of the Complex Engineering Systems Institute, to discuss the finalist entry from the team representing the country of Chile.

During the COVID-19 crisis, the Chilean Ministries of Health and Sciences partnered with the Complex Engineering Systems Institute and telecom company Entel to develop innovative methodologies and tools that placed operations research and analytics at the forefront of the battle against the pandemic. These innovations have been used in key decisions that helped shape the strategy against the virus, including tools that shed light on the actual effects of lockdowns in different municipalities and over time; helped allocate limited intensive care capacity; allowed multiplying the testing capacity; provided on-the-ground strategies for the active search of asymptomatic cases based on anonymized mobility data; and implemented a nationwide serology surveillance program that greatly influenced Chile's decision regarding booster doses and provided valuable insight to the rest of the world.

For more than four decades, the Edelman Award has recognized contributions that are transforming how we approach some of the world's most complex problems. Finalists for the Edelman Award have contributed to a cumulative impact of more than $336 billion since the award's inception, as well as countless other nonmonetary benefits. The winner of this year's award will be announced at 2022 INFORMS Business Analytics Conference, April 3-5.

Joining me for this episode are Xinhui Zhang, Senior Director, Head of Supply Chain Management and Operations Research Committee, and Yuming Deng, Director, Digital Supply Chain, to discuss their team, Alibaba's, finalist entry.

Alibaba, which aims to build the future infrastructure of commerce, has designed many multiplatform retail business models. These range from mobile apps to brick-and-mortars and more. Merchandise on Alibaba's platforms covers general supplies to fresh produce. Each of these different channels and their products brings unique features regarding demand forecast and inventory management. These challenges are being solved through a series of algorithms to align supply with demand, which in turn has had a significant impact on the business.

This podcast is part of a special series featuring the 2022 finalist teams for the INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the most prestigious award for achievement in the practice of O.R. and advanced analytics.

For more than four decades, the Edelman Award has recognized contributions that are transforming how we approach some of the world's most complex problems. Finalists for the Edelman Award have contributed to a cumulative impact of more than $336 billion since the award's inception, as well as countless other nonmonetary benefits. The winner of this year's award will be announced at the 2022 INFORMS Business Analytics Conference, April 3-5.

Joining me for this episode are PK Yegneswaran, Vice President of Manufacturing Science and Technology, and Oscar Repping, Executive Director Biotech Solutions, to discuss the finalist entry from the team at Merck Animal Health.

Merck Animal Health offers veterinarians, farmers, pet owners and governments one of the widest ranges of veterinary pharmaceuticals, vaccines and health management solutions. After four years of collaboration where vision met opportunity, a portfolio of optimization and decision support applications were implemented that substantially improved biomanufacturing effectiveness. Biomanufacturing uses living organisms (i.e., viruses and bacteria) to grow active ingredients in vaccines and therapeuticals. This high-tech manufacturing process generates challenges not found in many other industries. Additionally, the high cost of equipment and labor-intensive nature of operations precluded the ability to just add capacity. Operations research played a critical role in helping Merck Animal Health increase the output of critical medicines in specific areas.

For nearly 3 weeks during the summer of 2018, the attention of millions across the globe was focused on northern Thailand where a massive effort was underway to locate and rescue 12 members of a boys' soccer team and their coach who were trapped underground in the rapidly flooding Tham Luang cave.

Among those watching was Yael Grushka-Cockayne with the University of Virginia's Darden School of Management. As she watched this incredible rescue effort unfold, she recognized it as a massive and complex study in risk management and decision-making, one in which the highest stakes were involved. Today I'm thrilled to be joined by Yael to take a look back at this event and share the insight gained from her own case study of a rescue that, had different decisions been made at key points along the way, could have had a very different outcome.

Plastic pollution is a complex and growing global issue, with millions of tons of plastic waste reaching our oceans each year, killing thousands of seabirds, turtles, seals and other marine mammals.

However new research has identified an approach to removing, recycling and reutilizing plastic that not only has a positive impact on the environment, but can also benefit communities in need in developing countries.

Joining me to discuss how supply chain and block chain technology are being leveraged in innovative new ways to address the issue of plastic pollution is Opher Baron with the University of Toronto's Rotman School of Management.

Cardiovascular disease, a term for a number of disorders of the heart and blood vessels, is a serious and steadily growing threat to global health, causing even more deaths every year than cancer. In the U.S. alone, nearly 660,000 people, or 1 in 4, die of heart disease annually.

In particular, cardiovascular disease can lead to cardiac arrest, a serious condition in which the heart suddenly stops beating. One of the most effective methods of treatment for cardiac arrest is an automated external defibrillator, which can not only correct an episode of arrhythmia, or irregular heartbeat, but can restore the heart's beating if it suddenly stops.

As with any medical emergency, time plays a critical factor and this is particularly true when someone is experiencing cardia arrest. Even a minute delay in defibrillation can leading to a 10% decrease in survival.

My guest today, Tim Chan with the University of Toronto, is conducting incredible research exploring how drone technology can minimize delays in defibrillation for individuals in crisis, potentially even faster than traditional EMS can respond.

Even with the COVID-19 vaccine readily available throughout much of the country, and the age ranges of those who can receive it expanding, research shows that in the face of a new wave or variant of the coronavirus, the tools that we used at the onset of the pandemic, masking and social distancing, are still key to helping mitigate the spread of the virus. Joining me to share his research to help develop a model for social distancing policies to prevent surges in new cases and hospitalizations is Dave Morton with Northwestern University.

When you take a look back, even just over the past couple of years, the devastation caused by the seemingly growing threat of large-scale wildfires has made headlines around the world. From the unprecedented brushfires in Australia in 2019-2020, to California's record setting wildfire season later that same year, and most recently the Colorado prairie grass fires which occurred well outside of the traditional fire season, the increasing frequency and intensity of wildfire incidents are a growing global concern.

Not only are these fires capable of causing billions of dollars in damage each year, but contribute to the deaths of thousands of people, not to mention have a devastating impact on local wildlife and ecosystems.

But are there steps that can be taken to better prepare and position first responders and others involved in combatting and minimizing the physical and financial impact of these fires?

Joining me to discuss his work using stochastic optimization to support better decisions regarding resource deployment both in the stages before a fire occurs as well as when multiple fires are underway is Lewis Ntaimo with Texas A&M University.