As I arrive in Orlando for this year’s INFORMS Analytics Society meeting, I can’t help but reflect on where I was this time last year. We had just arrived in Huntington Beach, and my team and I were finalists for the Edelman award. We had high hopes for winning, based on nothing more than the past four months of intense, painstaking preparation. We had spent countless hours working on scripting, video, audio, pictures, graphs, graphics, timing and so much more. Ultimately, I knew that we were going to put our best effort forward for the judges, and it was up to them whether we would be named the winner.
I was thankful for many people who helped get us there – our coaches Arnie Greenland and John Birge at the top of that list. They guided us expertly and we left not one stone unturned in our preparation. It was crucial that we translated extremely complex information into something the judges could grasp hold of. We were, after all, trying to explain how operations research was transforming how soybean plant breeding is being transformed at Syngenta. We had a day left to practice a few more times…a table reading, a slide run-through and a couple more live practice runs.
I can only imagine how this year’s Edelman finalists feel. I imagine it’s much the same way. So, I wish them all good luck! Here’s a look at who they are and how they’re using operations research to transform their unique challenges:
1) 360i for “360i’s Digital Nervous System”
Digital Nervous System is a suite of paid search optimization and management systems for online marketers that rapidly selects keywords and creates campaigns; reverse engineers the Google second-price auction to identify quality score problems before they arise; calculates accurate bids for keywords with sparse data; integrates advanced application programming interfaces into real-time search bids and ad creation; and creates detailed pricing forecasts to produce bids on keywords.
The Digital Nervous System has resulted in $250 million in cost savings and $1 billion in revenue generation for the company’s paid search clients.
2) BNY Mellon for “Transition State and End State Optimization Used in the BNY Mellon U.S. Tri-Party Repo Infrastructure Reform Program”
BNY Mellon is a leader in the tri-party repo market with approximately $2.2 trillion serviced globally, which includes $1.3 trillion or 85% of the U.S. tri-party repo market. In response to the 2008 financial crisis, BNY Mellon worked closely with its clients, their investors, and other market participants to meet the recommendations of the U.S. Tri-Party Repo Infrastructure Reform Task Force sponsored by the Federal Reserve Bank of New York.
In August 2012, Karen Peetz, BNY Mellon President, spoke before the U.S. Senate Subcommittee on Securities, Insurance, and Investment about the U.S. tri-party repo market and this initiative to practically eliminate intraday credit risk, defined as a 90% reduction. BNY Mellon has exceeded the 90% goal to reduce secured credit extended in the tri-party repo market as $1.44 trillion risk reduction has been achieved, or 97%.
3) Chilean Professional Soccer Association (ANFP) for “Operations Research Transforms Scheduling of Chilean Soccer Leagues and South American World Cup Qualifiers”
Over the last 11 years, operations research techniques have been applied to schedule professional soccer leagues in Chile. These techniques have yielded a direct economic impact of more than USD 55 million through a combination of increased ticket sales, cost savings, and subscriber growth for Chile’s soccer television channel and cost reductions for the teams due to the better travel schedules resulting from an improved ordering of home and away games.
These techniques have also been used to schedule the South American 2018 FIFA World Cup qualifiers.
4) The New York City Police Department (NYPD) for “Domain Awareness System (DAS)”
The Domain Awareness System (DAS) is a network of sensors, databases, devices, software, and infrastructure that delivers tailored information and analytics to the field and to precinct desktops enabling police officers to make more informed decisions. Originally designed for counterterrorism purposes, the DAS has been modified for general policing and is now deployed across every police precinct in the five boroughs, and will shortly be on all 36,000 officers’ smartphones and all 2,000 police vehicle tablets. No other police department in the world shares information and delivers analysis to its officers as effectively.
Prior to the NYPD’s adoption of the DAS, much of the Department’s information was only available to officers in the precinct house with permission to access standalone siloed software applications. For example, only the domestic violence specialist had access to the database of domestic violence records, and only when sitting at his or her desk. Officers who responded to a 911 call for domestic violence were dispatched by radio knowing only the address and the nature of the complaint. They were forced to manage each situation, literally making life and death decisions, without any historical context (such as prior complaints). This situation was not limited to domestic violence incidents – as a whole, the NYPD’s decision making was hampered by a failure to take full advantage of the information at hand, and the service we provided to the public suffered as a result.
The NYPD is now more effectively using its data to inform decisions at all levels of the Department, allowing it to better serve the City of New York.
5) UPS for “UPS On Road Integrated Optimization and Navigation (Orion) Project”
The UPS Orion project is based on a sophisticated algorithm that automatically plots the course of more than 30,000 UPS drivers every day, which will increase to 55,000 drivers in 2016.
Because ORION provides an optimized delivery sequence that meets multiple operational constraints, the drivers are relieved of the complexity of determining how to make their deliveries.
Costing $250 million to build and deploy, ORION is expected to save $300–$400 million annually, reduce annual CO2 emissions by 100,000 metric tons, and decrease yearly fuel consumption by 10 million gallons.
6) U.S. Army Communications-Electronics Command (CECOM) for “Bayesian Networks for U.S. Army Electronics Equipment Diagnostic Applications: CECOM Equipment Diagnostic Analysis Tool, Virtual Logistics Assistance Representative”
Soldiers in Afghanistan are required to operate and maintain complex electronic weapon systems with minimal resources in combat conditions. The inherent logistics challenges of the Combat Outpost (COP) environment make it difficult to provide timely assistance with support personnel.
Research on the life cycle of COP equipment problems shows that early misdiagnoses can initiate a chain of events that can create lengthy system outages and put lives in jeopardy. CECOM has developed and implemented the CECOM Equipment Diagnostic Analysis Tool, Virtual Logistics Assistance Representative (CEDAT VLAR) to directly address the onsite needs of soldiers in Afghanistan by mitigating knowledge gaps in the COP environment.
This has resulted in tens of millions of dollars in cost savings, increased maintenance efficiency, reductions in troubleshooting time, and No Evidence of Failure (NEOF) component returns have been reduced to zero over the last 18 months.