Report: Industrial Manufacturing Trends Pt. 2

Industrial manufacturers must figure out how to manage a superabundance of new data so that it becomes useful and not overwhelming. Here are six actions for 2017 that can help industrial manufacturers profit despite the significant challenges they face.

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Of course, new investments alone aren’t enough. Industrial manufacturers need additional skills as well; they must figure out how to manage a superabundance of new data so that it becomes useful and not overwhelming; adapt technology to run their own supply chains and operations more seamlessly; monetize digitization; find talent adept at industrial software programming and analytics; and build strategic partnerships that won’t compete for market share. Below are six actions for 2017 that can help industrial manufacturers profit despite the significant challenges they face.

This is part two of a two-part article. Check out part one here.

No. 1 Leverage Data And Analytics In A New Business Model

By upgrading their technical capabilities, industrial manufacturers can bundle a variety of services enabled by connectivity and data, replacing the increasingly outmoded model of selling one big complex machine under warranty and a service agreement for maintenance and repair. These new services can include condition-based maintenance, which involves ongoing real-time monitoring of equipment to determine its maintenance needs; collaboration with customers on a day-to-day basis to customize asset optimization; and predictive performance management for large and small projects and equipment. With this approach, the breadth and value of the services provided by the industrial manufacturer can enhance customer retention and lead to deeper and more lucrative commercial engagements.

No. 2 Innovate Pricing

As technology begins to alter the relationship between industrial manufacturers and their customers, the traditional pricing model for the service contract must be changed as well, from pay-for-product to pay-for-performance. Condition-based maintenance (discussed above), driven by predictive and interconnected industrial technology, will become commonplace. This should translate into fewer visits from repair technicians. As a result, customers will naturally expect more favorable terms, which can be facilitated by sharing risk. Instead of basing equipment pricing on products and fixed maintenance or warranty costs, industrial manufacturers should establish fee structures tied to outcomes. For example, the industrial manufacturer may be paid more if equipment downtime is reduced or if an upgrade improves productivity. Some industrial manufacturers — flinching at this drastic shift in pricing structure — will adopt a blended approach, with fixed fees to cover some costs and a variable component based on efficiency and productivity gains realized by the customer.

No. 3 Develop Strategic Partnerships — Carefully

Industrial manufacturers must become more active players in the technology ecosystem, seeking expertise outside the industry in order to develop equipment connectivity, data analysis, and software that are beyond their current abilities. For example, recognizing that it cannot grow the ecosystem alone, at least one major industrial company has aligned with a wide range of technology firms to create a dedicated cloud-based platform that can run industrial workplaces. These joint arrangements are necessary because startup technology companies have begun to whittle away at bits and pieces of the Internet of Things’ corner of the industrial manufacturing market. But these alliances are not without risk. Leaders have to balance the practice of close collaboration with strategic partners against the need to stay flexible in contracting and partner selection, all while maintaining their hold on their markets. Given the rapid advances of technology, it is possible that a partnership will fall apart because two collaborating companies suddenly realize that their customer base, once distinct, has morphed and they have become direct competitors, vying for the same customers with the same product.

 No. 4 Mine Operational Data

If connected machines — the primary components of the Internet of Things (IoT) — are to be the backbone of industry in the near future, industrial manufacturers will have to figure out how to manage the data coming from an avalanche of sensors, integrated equipment and platforms, and faster information processing systems. There is a critical need to hire people who can mine these bits and bytes of information and work more closely with customers to use the data to improve equipment performance and open new revenue streams. Indeed, the anticipated efficiency returns from digitization over the next five years across all major industrial sectors are substantial: nearly 3 percent in additional revenue and 3.6 percent in reduced costs per year, according to a recent PwC survey of companies. By proactively leading the digitization effort, industrial manufacturers can earn a growing portion of these gains.

Facing a climate of depressed prices, oil and gas companies are good illustrators of the potential for these improved returns. Instead of building a new well — not viable in the current market — they can squeeze greater production out of existing sites by using more efficient digital control systems and sensor-fed data (such as data on pressure, temperature, and flow rates) to manage the wells more effectively. One drill manufacturer has been helping its customers — chemical plants, oil refineries, and other process manufacturers — operate their plants more effectively by leveraging IoT in the form of wireless drill sensors, which can detect potential failures in valves before they lead to a spill or shutdown. In the past, installing drill sensors to capture critical data was a lengthy and expensive process because it required running a wire down into the wellhead. This new technology makes it easier to safely capture, monitor, and analyze this constantly changing data in real time, enabling oil and gas companies to save millions by reducing the number of unforeseen outages by half, and increasing crude output by as much as 10 percent.

 No. 5 Decide What Intellectual Property To Share And What To Develop

Many industrial manufacturers find it difficult to manage digitization and big data analytics because their internal IT systems are so unwieldy. As company operations have grown more complex, expanding into new global markets and product lines and integrating newly acquired firms over many years, the old enterprise resource planning (ERP) systems that were meant to drive efficiency and coordination have proliferated into a tangled mass of disparate networks. Many large industrial manufacturers have as many as 100 different ERP systems — not to mention hardware and software independent of IT — set up to solve specific problems quickly. In this landscape, it is difficult for IT to respond quickly or adequately to business and market demands and to facilitate digital solutions that are suddenly in favor in the executive suite.

Industrial manufacturers must begin the process of overhauling their IT systems, creating a completely new architecture that can serve as the backbone for internal and external technology initiatives. In this new approach, it is imperative that IT systems communicate throughout the organization with standardized protocols that can manage data from thousands of varied pieces of equipment in the field, support visibility into supply chains, and produce customized analytical reports to immediately serve business needs. In other words, company leaders must employ more global thinking to make sense of this complex environment. Otherwise, digital confusion will cancel out any digital gains.

No. 6 Create Strategies For Talent Development And Retention

In the digitization sweepstakes, industrial manufacturers often find themselves at a disadvantage when trying to attract and retain talent. For example, in the U.S. many of the best and brightest STEM (science, technology, engineering, and math) students would prefer to work in Silicon Valley, where innovation is on the menu for breakfast, lunch, and dinner, rather than in the stodgier old-world locales where many industrial manufacturers have their plants and headquarters.

Complaining about this bias accomplishes nothing; instead, industrial manufacturers must purposefully map out an exciting technology strategy with specific benchmarks and achievements anticipated for the next 18 to 36 months — and then communicate this story clearly to job candidates. Even companies that have not yet felt the shortage of technology-savvy staffers need to take steps to prepare for it as the number of job openings in this field will continue to outpace the number of available hires for the foreseeable future. In developing this recruitment program, don’t just advertise for someone who can read data, only to find out he or she can’t understand how a giant turbine works. Balanced capabilities are important, allowing the machine maker to use smart operational data and sensor analysis in a real-time context in order to gain insight into how the equipment is used — and ultimately to drive innovation that improves the functions and performance of the equipment. Diversity of expertise and skill sets will help to shorten the learning curve in the organization.

Succeeding In Challenging Times

The next wave of leaders in industrial manufacturing will build an ecosystem that capitalizes on the promise of analytics and connectivity to maximize efficiency for themselves and their customers. They will map out their strategies and prioritize measures that will bring the most value to their business, starting now with pilot projects, and building greater strengths in data analytics with cross-functional teams of experts. They will get closer to their customers’ needs, creating suites of service packages that go far beyond the initial machine sale, and expanding opportunities as they create new partnerships outside their core specialty areas. They can succeed if they move forward in smart, deliberate strides.

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