Jim Hartung

For over 80 years, systems engineering has helped America
lead in science, technology, industry, and business.

  
Systems engineering can also help us address our most difficult
social, economic, envronmental, and political problems.

         
Systems of Systems Matrix

One of the most difficult problems systems engineers face is the challenge of designing and optimizing a large, complex system that is a combination of many interrelated systems. The International Space Station is a good example. It comprises many systems and elements, designed by engineers in many countries (primarily the United States, Russia, Japan, Canada, and several European countries), which was launched on U.S. and Russian launch vehicles, assembled in-orbit over a period of several years, and operated in-orbit for over 25 years. Developing the Space Station required both technical and political skills to keep all nations working together over a period of over 30 years.

Public policies are similarly complex and interrelated. For example, public policies relalted to healthcare, immigration, criminal justice, and taxation all affect each other, so they cannot be optimized separately, but must be considered together. The following figure shows a "system of systems" matrix approach I used to develop ten public policies to address America's most urgent problems. This matrix approach, which is described in the text following the figure, is useful when developing complex and interrelated public policies.
 

The first column on the left shows 5 problem areas and the second column shows 15 qualitative objectives designed to address urgent problems. The third column shows the number of quantitative objectives (targets) established for each objective. There are 40 quantitative "targets" in this example. I identified these 5 problem areas and developed these 15 objectives and and 40 quantitative targets using the United Nations' Sustainable Development Goals as the starting point.

The 10 columns on the right-hand side of this figure show the 10 policies I developed to address the problem areas, objectives, and targets in the first three columns. This "system of systems" strategy matrix aided in developing these public policies, by showing how each policy addresses multiple objectives. For example, the first policy (Medicare Choice) is designed primarily to address three objectives: 1) reduce economic inequality without harming the wealthy, 2) provide high quality, affordable healthcare for everyone, and 3) improve public health and safety. This is shown on the figure by the X's in the strategy matrix. It is also designed to address six other objectives secondarily, as shown by the O's in the strategy matrix.

Similarly, the second proposed policy (Life Skills and Career Education) is designed to primarily address six objectives: 1) reduce economic inequality without harming the wealthy, 2) increase gender equality in a way that benefits everyone, 3) reduce racial and ethnic inequality in a way that benefits everyone, 4) reduce crime and the number of persons held in prison, 5) provide high quality, affordable education and job training for all, and 6) encourage robust, sustainable, and inclusive economic growth. In addition to these six primary objectives, this policy is designed to address four other objectives secondarily, as denoted by the O's in the strategy matrix.

Strategy matrices such as the this one do not provide simple answers to complex challenges, but they are an important tool that systems engineers use to optimize the design of complex "systems of systems." The "six-step process" and the "optimization strategies" are still needed to design and optimize individual public policies, but the "system of systems" strategy matrix allows policymakers to examine the interrelationships between multiple objectives and multiple public policies.