Jobma pushes data‑driven upskilling
- Jobma said manufacturers should build training plans from shop-floor data, using productivity measures, defect patterns and rework logs instead of fixed annual courses. - The company’s latest guidance highlighted output per hour, cycle time, throughput and time-to-productivity as signals that can expose specific skill gaps. - India’s steel ministry launched NISST training on April 28 as capacity expands and skilled-worker shortages deepen. (publicnow.com)
Manufacturers are being told to stop guessing at training needs and start with the numbers coming off the shop floor. (jobma.com) Jobma said last week that upskilling works better when companies track output per hour, task completion rates, turnaround time and time-to-productivity for new hires. (jobma.com) The company said error logs can do the same job for quality problems: recurring mistakes, defect types and rework time can show whether a team needs technical retraining or a process fix. (jobma.com) Its example was blunt. A worker who finishes tasks faster than peers but produces more defects may not be more skilled; the data may show rushed execution instead. (jobma.com) That pitch lands as factories become more software-heavy. GNV Subba Rao of ABB said in January that factories are turning into “intelligent systems” shaped by software, data, automation and artificial intelligence. (economictimes.indiatimes.com 1) (economictimes.indiatimes.com 2) ABB’s India teams have moved from delivery work into engineering platforms, research and development, and commissioning, and Subba Rao said the company has nearly doubled its India workforce over the past four years. (economictimes.indiatimes.com) The government is making a parallel bet on skills. On April 28, Steel Secretary Sandeep Poundrik inaugurated training courses at the National Institute of Secondary Steel Technology in Mandi Gobindgarh for Industrial Training Institute students and shop-floor workers. (publicnow.com) Poundrik said India’s steel production capacity could rise from 200 million to 300 million tonnes by 2030, and that 1 million tonnes of steel output requires about 1,500 to 2,000 workers. (publicnow.com) He also said the industry faces a shortage of skilled manpower and told associations to back at least one course for students and existing workers through agreements with NISST. (publicnow.com) The common thread is that factories need fewer generic classes and more role-specific training tied to measurable production problems. In that model, the training calendar starts with throughput, defects and rework, not with guesswork. (jobma.com)
