The Automation Evolution
How I learned to stop worrying and love the future of manufacturing
By Matt Adams, Glenn Snyder and Matt Szuhaj > Illustration by Igor Morski
During a dinner attended by Silicon Valley leaders in 2011, President Barack Obama directed a question to then-Apple CEO Steve Jobs: What would be required to make Apple products in the United States? When Mr. Jobs answered that “those jobs aren’t coming back,” did he mean that developed country manufacturing is a dying breed, or that the future of manufacturing is a more distributed model? Is the very nature of manufacturing competitiveness changing? Could it be that his product—the iPhone—is a symbol of the forces of technology innovation at work to enable such a shift?1
If Moore’s Law were to continue defining the performance of processors through 2050, the average personal computer would have the same processing ability as all of the human brains in the world combined.2 Even if the rate of performance increases slows, this growth of processing power will almost certainly transform the fields of robotics and automation. Imagine a factory where all redundant and many—if not most—complex, decision-based tasks are done by machines; there are fewer low-skilled jobs in this scenario that are prone to labor arbitrage but proportionally more high-skilled jobs (to support the machines) that are less attractive to offshoring for cost advantages.
Manufacturing decisions have for so long been driven by cost reduction efforts that production has effectively become a commodity to be procured at the lowest possible cost. The viability of new technologies, combined with other factors, creates long-term options with the potential to set companies apart, if they can maintain the research and development commitment to realize long-term benefits. Though many companies are withholding capital reserves in response to the uncertainties of the current economic and political environment, the significant corporate capital in developed countries affords an opportunity for forward-thinking companies to activate manufacturing as a strategic lever, rather than just a cost to be reduced.
A manufacturing renaissance?
For years, developed economies have been hemorrhaging manufacturing jobs as companies have found low labor cost advantages in developing markets to be such that they can afford higher employment rather than implementing even basic automation. Yet trends in automation and robotics technologies are rapidly changing the equation, enough so that the next 15–20 years could see a significant shift of manufacturing toward concentrations of resources and end-user markets, including new growth of manufacturing in developed economies sometimes written off as part of manufacturing’s history.
Against a backdrop of developing economy labor cost inflation and other economic trends, automation advances are becoming cost competitive with the alternative of high labor staffing, ultimately decreasing the importance of labor cost as a critical location factor for new manufacturing. As increases in computer processing power, sophisticated sensor technology, artificial intelligence control systems and other technology advancements drive the next generation of automated production, the future of the manufacturing footprint seems poised for dramatic change in many industries.
Ultimately, companies that view the intersection of technology and geography as a strategic manufacturing opportunity are likely to be better positioned as automation changes the game.
Shifting the playing field
The United States has had a tenuous relationship with manufacturing over the past several decades. Many U.S.-centric manufacturers, as well as those from other developed countries, have pursued cost arbitrage by growing manufacturing outside the U.S. Since those initial forays into manufacturing growth outside the country, U.S. companies have contemplated the trade-offs associated with automation technology versus relocation. While U.S. manufacturing employment as a percent of total nonfarm employment has decreased significantly, from 28 percent in 1962 to less than 9 percent in 2011, it has largely remained constant until recent recessionary periods. Meanwhile, real output in manufacturing has increased steadily over that same period.3
For many industries, the default decision has long since been to channel manufacturing growth internationally to gain from labor cost advantages, as suggested by the lack of employment growth in U.S. manufacturing. But productivity gains suggest that automation and process efficiency have heavily influenced employment as well. Essentially, the people, processes and technology behind manufacturing have enabled companies to do more with less. At the same time, an emphasis on college education and the growth of nonmanufacturing sectors of the economy suggest that the country’s comparative advantages have become increasingly consistent with a knowledge economy.
While these trends may seem intuitive and unlikely to change, the next evolution of manufacturing automation may stem the outflow of manufacturing from developed markets. Manufacturing in the future may not be the high employment haven it once was, but it will likely take advantage of the knowledge economy by tapping into the technical talent produced by universities, accessing software developers, and fostering the culture of innovation already existing in developed countries.
Rise of the machines (again)
Though there has been a gradual advancement of automation in manufacturing, the oft-promised automation revolution has yet to materialize. A variety of factors are aligning to change the assumptions under which companies have made manufacturing investment decisions.
Erosion/shift of labor arbitrage: Over the five years from 2006 to 2010, average real wages in China and India increased 75 percent and 175 percent, respectively, (compared to 5.5 percent growth in the United States.) This rapid growth rate is expected to continue, particularly in China where the Economist Intelligence Unit predicts another 50 percent increase in real wages by 2015.5 These trends are even more pronounced if focused on the locations that are attracting the majority of inbound investment. Many companies that have found their labor costs doubling are reconsidering the decision to grow manufacturing in these areas, particularly those organizations for which labor cost arbitrage was the primary factor for locating facilities there.
Waning of economic colonialism: Business globalization is shifting from a version of economic colonialism—one in which companies in developed markets expanded first to access developing economy labor pools, then to access their markets. Increasingly, strong companies are emerging from these developing countries to be competitive in the United States and Europe. This is forcing companies in developed countries to consider not only how to be opportunistic entering new markets but also how to defend their own turf. Tata Motor’s purchase of Jaguar Land Rover is in some ways emblematic of this, as a corporate giant from a former British colony purchased the two venerable and iconic British brands.
Energy cost increases: Fluctuations in global energy markets have been well-publicized, with a recent trend toward higher energy costs. This suggests that companies will be under increased pressure to produce locally to insulate themselves from fluctuating transportation and logistics costs, an effect compounded by concerns around sustainability and reducing the carbon footprint of individual products and the operational network overall. This impact is already evident as companies contemplating large-scale manufacturing investments have become increasingly thoughtful about the source of the power their plants would use. Carbon-emitting sources, such as coal, can be cost-effective but give companies pause due to sustainability initiatives, related corporate image concerns, and the risk of carbon-based taxes.
Footprint balancing: Many companies have experienced a cycle of rapid growth, including mergers and acquisitions, and reactive cuts over the past decade. Combined with a dynamic global environment, these activities can result in a corporate footprint that no longer aligns with corporate objectives. Footprint redundancy, locations that have become more expensive, and shifts in talent profiles for existing facilities require proactive rebalancing that few companies routinely undertake.
The automation and technology company Emerson is a recent example of a company announcing the benefits of their own rebalancing of global operations.6 The company, with a strong history of acquisition and global expansion, has long focused on where it conducts business, consistently seeking to localize not just manufacturing but also engineering and development operations within its growth markets.
Precision information: Approaches to manufacturing such as Just-in-Time and lean manufacturing are emerging as competitive requirements that demand immediate information for production. The need for precise information can most efficiently be served by an automated system that produces data as part of its routine and on demand. Similarly, advanced manufacturing technologies that can enhance flexibility will likely position companies to react most efficiently to the data produced by such a system.
Julio M. Ottino, the dean of the McCormick School of Engineering and Applied Science at Northwestern University, has characterized this next generation of manufacturing talent by its aptitude for “whole-brain” thinking. His view, increasingly shared at other leading schools, is that top talent driving the innovation to enable future manufacturing will require both technical skill (left-brain) and creativity (right-brain).
A variety of factors make the current environment more conducive to an automation revolution than we have seen in the past. These technologies are emerging in incubator environments, and the supporting technology is fairly mature. For example, additive manufacturing, frequently referred to as 3-D printing, already has been used effectively for rapid prototyping of aircraft parts. The technology has low barriers to entry, demonstrated by the story of a Northwestern University engineering student who recreated a detailed three-dimensional replica of the university’s campus by himself during the three week holiday break.7
The knowledge gained from such university and corporate incubation environments and experimentation can be used to identify opportunities, challenges and lessons learned to transition to higher-volume production. Similarly, as demonstrated in the example of the engineering student, the computing capacity and programming skills required to manage and execute complex automation are powerful and nearly ubiquitous. In that respect, it is vastly different from the types of capital-intensive manufacturing automation available several decades ago.
Preparing for the robotic revolution
Companies are better served in most cases to consider their future footprint and proactively anticipate capacity constraints by investigating and piloting new technologies now. Similarly, countries are unlikely to see a return of already vacated manufacturing capacity, but they have a clear opportunity to participate in new manufacturing growth. To prepare for this future, companies and countries should focus on three interrelated areas to take action now: research and development incorporating new technologies; talent development; and long-term strategic planning.
Designing for automation: A key aspect of the GM case study was that its Japanese competitors designed components specifically to enable use of automation technology. In that case, simplicity of design was critical to take advantage of the technology’s strengths of repeatability and speed. One former Chrysler executive familiar with the competition at the time indicated his astonishment at the degree to which product design enabled automation success for the Japanese companies stating, “I thought we were pretty adept at automation until I walked through the doors to tour a Toyota plant in Japan and saw how well their products fit their processes.”8
For many companies, product development and research are conducted in an environment isolated from the full-scale production technology they will eventually use. This can result in an optimal “theoretical” product that is hard to produce at scale with the same quality. Companies considering automation and other advanced manufacturing technologies today need to incorporate a process for product design that complements the chosen production technology, accounting for its weaknesses and capturing the benefits of its strengths.
Joint business planning for manufacturing: Joint business planning is an emerging approach gaining traction with retailers and consumer product companies in which objectives, product development trends and sales data are shared to aid in collaboratively developing plans for product flow and customer outreach. Manufacturers could benefit from a similarly collaborative approach with companies and research institutions developing automation and other manufacturing technologies. This type of interaction has long been the norm for manufacturers working with materials and subassembly suppliers. In a parallel to arming consumer product developers with detailed customer insights, manufacturers can extend their relationships to include the organizations supplying their production technology and research, providing an open exchange that can enable them to better respond to a manufacturer’s specific needs.
Technology incubation: Given the aforementioned interaction between product design and manufacturing technology, gradual implementation of new manufacturing technologies is critical. Companies are piloting new production technologies on small scales to better understand how to apply the benefits of the technology to their specific needs and adjust their products to fit the technology. This approach addresses the need to broaden typical R&D beyond solely product development to incorporate manufacturing research and feedback in the product development process.
Clarks, a British shoe company, uses additive manufacturing (3-D printing) for rapid prototyping of multicolor shoe designs. While other shoe manufacturers have received some recognition for experimenting on larger scales with mostly monotone, radical shoe designs, Clarks has been starting slowly but with styles more similar to its mass-produced varieties. In addition to the design benefits and accrued experience, this is giving the company insights on the potential of the emerging technology and therefore a head start on its use in mass production should Clarks make that decision.9
Addressing the skills gap: Perhaps even more critical than nurturing and adapting technologies applicable to specific products is the need to acquire the skills required to make the next generation of automation technology successful. Given the history of automation versus offshoring decisions, manufacturers have sought a specific labor profile to produce products, one ill-suited to the new automation environment. Much of manufacturing for the past several decades has been characterized by high labor requirements but with relatively little education required for the majority of the workforce. Even as higher skill requirements have emerged with the automation in place, companies in many countries have relied on on-the-job training and experience as the foundation for this skill.
Companies and countries alike must start identifying and training a more skilled, autonomous workforce that can operate more independently to manage a portfolio of production activities. Julio M. Ottino, the dean of the McCormick School of Engineering and Applied Science at Northwestern University, has characterized this next generation of manufacturing talent by its aptitude for “whole-brain” thinking. His view, increasingly shared at other leading schools, is that top talent driving the innovation to enable future manufacturing will require both technical skill (left-brain) and creativity (right-brain). The education systems in developed markets, particularly in the United States, encourage the flexibility to simultaneously develop both perspectives, though educators must focus on enabling rather than suppressing that flexibility.10
Empowering employees: Most of the next-generation manufacturing technologies enable greater flexibility in production, but to capture that benefit companies should endeavor to develop a more empowered production workforce.
A foundational example of this approach in action is at Wisconsin-based Miller Electric Manufacturing, a maker of welding and cutting equipment. In some areas of the organization, Miller provides employees with an expected weekly output, then allows them to determine how best to achieve it without production planners or foremen typically found in similar operations. These employees work together and coordinate with other areas of the company, including supply chain and staffing at times, to achieve their goals. This type of approach can become increasingly valuable as technologies such as affordable robotics and additive manufacturing enable more customization and more flexible production.15
Depending on the production technology selected and how it is used, advanced technologies could permit operating model differentiation through a more flexible manufacturing infrastructure. Such an infrastructure would facilitate the implementation of innovations as well as product customization. This represents a trade-off of short-term cost reduction for long-term cost-effectiveness. In addition to a more technical, educated workforce, this flexibility will require production managers who can operate a portfolio of processes and execute changeovers based on dynamic product demands. This employee empowerment will be more enticing for the required educated workers but will demand a culture shift from traditional production.
Securing a talent pipeline: In light of aging demographic profiles in most developed markets and an overall shortage of skilled technical and engineering talent, talent will be an especially important component of success in next-generation manufacturing. Private company support of secondary education programs in additive manufacturing, for example, can help develop a pipeline for needed talent and give companies access to top students. Some countries, such as Canada and Germany, have long dedicated a component of their education systems to producing trained talent specifically to support manufacturing.16
Planning for the long term
Looking forward, developments in production technology will be an important agenda item in strategy discussions because they offer opportunities for potential long-term differentiation—a way to shift focus from manufacturing as a cost to be minimized to a strategic lever that can drive long-term success. As we have noted, this shift in vision will be challenging for many companies, particularly those under pressure from public investors with a low tolerance for what may appear to be a contrarian approach.
Similarly, the notion of striving to optimize the corporate footprint requires a long-term perspective—in part because it is difficult to change overnight. But, as labor and energy costs, focus on sustainability, and emerging market growth drive production localization, companies will need to consider where to locate new production facilities well in advance of reaching capacity constraints. In many cases, automation and other advanced technologies will make production in developed economies cost-effective, enabling a shift of existing facilities in low-cost countries to facilities more advantageously positioned to serve local markets, while reducing the logistics costs and environmental impacts of serving existing customers.
Nor is this simply an internal analysis. Most industries should at least consider production technology trends in terms of both the company’s own long-term plans and those of competitors to provide flexibility for future adoption, potentially reducing the initial investment or developing smaller facilities to enable easier change as technologies are adopted. Further, with regard to flexibility, it can be useful to include a cross-check of more easily implementable automation technologies against immediate needs and to incorporate automation opportunities among the scenarios during location decision processes.
Lastly, the development cycle for products and manufacturing technologies that make their adoption viable requires action well in advance of the need. With a variety of technologies available and myriad potential industry and product applications, it will require analysis to match specific manufacturing needs with the best technology options and initiate the research cycle in advance of the need. Small, simplistic manufacturing processes will be easier to automate in the near-term with technologies like 3-D printing and in the long-term with artificial intelligence. Larger or more complex manufacturing will benefit from more affordable robotics but may still rely heavily on traditional production labor.
The emerging trends in the next phase of the automation evolution have already begun to alter the competitive landscape. Companies that treat manufacturing as a core strategic lever rather than a cost management exercise will expand their options. Those that can identify the emerging production technologies most suited to their products; encourage a convergence of product and production research and product development; nurture a pipeline of talent that can lead change and deliver on the technology’s promise; and proactively manage their footprint to balance talent access and cost management will be well positioned as the next generation of manufacturing takes hold. DR
Matt Adams is a manager with Deloitte Consulting LLP.
Glenn Snyder is a principal with Deloitte Consulting LLP.
Matt Szuhaj is a director with Deloitte Consulting LLP.
Special thanks to the following for their contributions to the article: Dean Julio Ottino of Northwestern University; Ilya Bondarenko, Raj Vohra, Tom Morrison and Michael Chen, all of Deloitte Consulting LLP; and Craig Giffi of Deloitte Services LP.
2. Top 25 Technology Predictions, By Dave Evans, Chief Futurist, Cisco IBSG Innovations Practice, Hans Moravec, Robotics Institute, Carnegie Mellon University, 1998; Cisco IBSG, 2006-2009.
3. Board of Governors of the Federal Reserve System, Industrial Production and Capacity Utilization, Statistical Release G.17, monthly from - http://www.census.gov/prod/99pubs/99statab/sec31.pdf; http://www.federalreserve.gov/releases/g17/revisions/Current/DefaultRev.htm.
4. GM and the great automation solution, London Business School, Business Strategy Review Autumn 2003, Volume 14, Issue 3.
5. Economist Intelligence Unit, Country Forecaster, Updater: January 1st, 2012, Employment, wages, and prices.
7. Conversation with Dean Julio Ottino, the dean of the McCormick School of Engineering and Applied Science at Northwestern University, April 2, 2012.
8. Author conversation with former Chrysler executive, February 2012.
11. http://marketing.dice.com/pdf/Dice_TechTalentCrunch.pdf -Pg. 4 (accessed 3/10/2012).
13. http://www.bio.org/sites/default/files/battelle2010/NORTH_CAROLINA_profile.pdf, Information from author interviews with education institutions and manufacturers operating in multiple states, including North Carolina, conducted as part of due diligence investigations for manufacturing investment decisions in support of multiple companies.
14. http://gov.georgia.gov/00/press/detail/0,2668,165937316_180136645_181525463,00.html, http://www.georgiaquickstart.org/features.php?featureID=b6149f5f5159a4e2d6a90db90e9ff631, http://gov.georgia.gov/00/press/detail/0,2668,78006749_124268231_126336694,00.html.
16. Information from author interviews with education institutions and manufacturers operating in multiple countries, including Canada and Germany, conducted as part of due diligence investigations for manufacturing investment decisions in support of multiple companies.