"For example, one of our clients is a toy company with factories in Asia that collaborated on new designs by sharing their actual CAD models and geometries in near-real-time among their designers, engineers, suppliers and marketers; partnering with their management teams; and setting up a collaborative, internal digital platform. This enabled them to reduce their data management and transaction times by up to 30%, speed up designs and turnarounds, and reduce costs."
2. Smarter Staffing
Of course, another major impact of COVID-19 has been layoffs and unemployment as businesses closed or curtailed operations, compounded by persistent staffing shortages upon reopening due to the many dislocated workers who found other jobs or retired early.
Even when they could fill positions, many employers are now facing much higher ratios of less-skilled employees, more staff in new and unfamiliar roles, and costly shift-scheduling difficulties.
"The VUCA world needs more workforce enablement and labor-supporting technology,” Markle explains. “One client we work with is using advanced analytics and a 'Moneyball' strategy on their shop floor, which is similar to the book and movie about the Oakland Athletics baseball team, which used data analytics to build a successful team from undervalued players."
He continues, "They track staff availability and skillsets, feeding analytical models to determine who's best able to run particular equipment at any point in time. This streamlines tasks and scheduling, and is improving productivity, scrap and worker satisfaction.
"Some companies are also supplementing their staffs with robots and automatic guided vehicles (AGVs),” he notes. “One of our clients, Symbotic, is showing how its autonomous robots can perform untethered travel among storage racks in clients' distribution centers."
3. Analytics Assist Materials
Markle adds that VUCA problems related to deviations in raw materials also can be tamed by data analytics applied in the form of product lifecycle management (PLM) software, model predictive control (MPC), artificial intelligence (AI), and even "chaos engineering" functions that can simulate problems in production systems to make sure they're running properly.
"For example, Netflix runs Chaos Monkey software through its systems and adds simulated problems to proactively identify process volatility," he explains. "It even uses real-world production data for its simulations, so it can deal with the issues Chaos Monkey finds on its own terms, and further improve its ecosystem by enabling it to respond better."
Similarly, PLM is a sophisticated software platform that uses digital production definitions, worker management functions and advanced visualization.
"These capabilities let users manage their production and equipment life cycles with a digital thread they can use to make control changes,” he explains. “Likewise, PLM serves as an orchestration backbone, but it can also track materials, parts and bills of material. These capabilities are important because we're also seeing a shortfall in semiconductor chips, for example, which is forcing some automotive manufacturers to leave blindspot-monitors out of their cars.
“More resilient supply chains can reduce these problems by making users more agile,” he adds.
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