There is a war for talent. How do you attract talent to your company and have them apply for jobs there? You have to show why they should consider you, who you want, what you offer, and how your current employees feel.
The cry that “The Robots are Coming” is not new. Robots and AI have been replacing humans for some time; however, COVID has accelerated that trend. As businesses seek to get up and running again, they realize that it will be more difficult with humans and social distancing. Adopting robots and AI allows businesses to keep operating and reduce health risks to human workers. Thus companies are turning to industry giants like Fanuc Corp., Keyence Corp., and Harmonic Drive Systems Inc.
In addition to the industry giants, many companies are providing AI and robotics for specific industries. Brain Corp reports its customers are employing robots about 13% more than they were in the months before the pandemic. The autonomous cleaners can do basic cleaning tasks “so that workers can use their time to do essential sanitation. Robots are something a lot of our customers are looking at now, and it’s making a big difference.” says Phil Duffy, Bain’s Vice President of Innovation. Tally, an autonomous shelf-scanning robot produced by Simbe Robotics can audit inventory at grocery stores through computer vision and machine learning. Food markets are finding this essential as they struggle to keep products on the shelf during the disruption of the pandemic. Fetch Robotics, through its cloud platform, allows for the rapid deployment of robots in warehouses and similar facilities. Due to social distancing, robots are making up the difference, says Melonee Wise, Fetch’s CEO.
Autonomous mobile robots (AMRs) have more agile navigational abilities. They so are able to move about a warehouse by navigating with built-in sensors and laser scanners, retrieving goods, and bringing them to people. AMRs can avoid obstacles in their path, including people, but they can also work in collaboration with people. So AMRs can adjust to new layouts and patterns. With e-commerce and the variability of SKUs and orders that characterize it, these robots provide organizations the ability to flex and scale as needed without changing their infrastructure.
Intelligent robot arms ability to assess a wide range of objects and grasp each with the correct force and grip is improving dramatically. Thus, such robots arms can quickly sort items into appropriate bins or packages for shipping. With the expected, soaring demand for smaller, more local warehouses located closer to points of delivery, the need for quick and flexible operations will drive demand for these robots.
Nearly 28% of respondents to IDC’s 2020 Supply Chain Survey ranked “improving supply chain resiliency/responsiveness” as a top concern driving strategic change in their supply chains. An acceleration of automation and robots in warehouses is coming, as supply chains seek to ensure less fragility. More companies will operate “dark warehouses,” which operate 100% autonomously. However, more change will come as organizations seek to replace non-value-added movement with automation and robotics to make them more efficient.
IDC presented its 2020 predictions in January, pre the COVID crisis. Simon Ellis, program vice president, Global Supply Chain Strategies at IDC, said, “Digital transformation is now the overriding priority for most manufacturers and retailers, with the adoption of digital technologies aimed to improve efficiency and effectiveness in the shorter term while providing the opportunity to either disrupt their market segment or be resilient to others that may try.” The key predictions were:
By the end of 2020, half of all large manufacturers will have automated supplier and spend data analysis.
By year-end, half of all manufacturing supply chains will have invested in supply chain resiliency and artificial intelligence.
By 2022, 35 percent of firms’ logistics business outsourcing budget will be dedicated to process automation, focusing on order, inventory, and shipment tracking.
By 2023, 65 percent of warehousing activities will use robots and situational data analytics to enable storage optimization, increasing capacity by over 20% and cutting work order processing time in half.
To reduce stress on the service supply chain, by 2023, 25 percent of OEMs will leverage blockchain to source spare parts.
2023, 60 percent of G2000 manufacturers will invest in AI-driven robotic process automation to automate tasks.
Worldwide, robot adoption has remained low as many companies have had little desire to deal with integrating them into operations, or in triggering a politically sensitive social backlash. However, approximately 60% of global production work can easily be automated. Robotic adoption across industries is different as tasks requiring significant dexterity remain difficult for machines. However, COVID is lowering the barriers to adoption, which are predominately attitude. South Korea and Germany are positive examples of countries that have achieved high factory-automation levels while keeping unemployment low.
A survey by Pricewaterhouse Coopers LLC found that while the majority of industrial production companies’ CFOs are expecting to cancel or defer investments, only 15% are planning to cut investment for automation, artificial intelligence, and industrial internet-of-things.
Given the high level of unemployment, a concern is many of the jobs lost to automation will not be regained. According to the International Labour Organization, COVID could reduce working hours by 6.7% across globally, the equivalent of 195 million full-time workers. This automation creates a new issue, what to do with displaced labor. Low-income jobs are particularly vulnerable to automation. Thus, “automation and digital technologies are exacerbating social cleavages and could be a source of unrest for years to come,” said Carl Benedikt Frey of Oxford’s Future of Work. Social unrest will put pressure on companies to re-skill and accommodate their workers.
The pace of change is increasing daily, and addressing the resulting social problems will be hard. Watch this space.
Copyright (c) 2020, Marc A. Borrelli
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