By: Ranjan Sarkar
Productivity conversations in business often begin with familiar terms: efficiency, output, utilisation, and cost. These are important. However, in industrial businesses, they are insufficient. A shopfloor is not an office with a different dress code. It is a tightly coordinated operating environment where time discipline, physical effort, safety, machine availability, supervision, and workflow design come together every day.
This distinction is significant because India’s industrial economy is entering a period of substantial expansion. The USISPF Energy and Infrastructure Newsletter noted that peak power demand touched 270.82 GW in May 2026, while nearly ₹9 trillion may need to be invested in transmission infrastructure by 2032. Such growth will create new capacity, but its real value will depend on the people who operate, maintain, and improve industrial systems on the ground.
The scale of this workforce is already substantial. According to the Ministry of Statistics and Programme Implementation’s Annual Survey of Industries 2023-24, an operating factory in India engaged an average of 92 people, including 73 workers. Behind every production target, therefore, is a group of individuals working within fixed shifts, defined processes, and limited room for disruption.
The conditions that shape shopfloor performance
Yet productivity is often assessed through a narrow output lens. How many units were produced? How quickly was a task completed? Was downtime reduced? These measures are necessary, but they do not fully explain performance. A worker may be operating through heat, fatigue, repetitive strain, unclear instructions, inconsistent material flow, or avoidable delays created elsewhere in the process. If these conditions are ignored, the productivity conversation becomes incomplete.
The human dimension is not separate from operational performance. It is one of its foundations. Blue-collar workers usually have less flexibility over where, when, and how work is performed than many knowledge workers. A missed shift, an unsafe practice, or an unstable schedule can carry a direct personal cost. Fairness, predictability, dignity, and safety, therefore, influence not only morale but also attendance, retention, and consistency.
The physical conditions in which work is performed also deserve closer attention. An International Labour Organisation report released in 2026 estimates that 2.41 billion workers face excessive heat at work every year, equivalent to around 71 per cent of the global workforce. On a shopfloor, heat and fatigue cannot be treated as invisible costs. They affect safety, concentration, consistency, and ultimately the sustainability of performance.
Measuring output in the right context
A better productivity model should examine output alongside the conditions under which output is achieved. It should include safety performance, skill levels, quality consistency, machine downtime, absenteeism, shift stability, and the extent to which workflows reduce unnecessary physical strain. It should also distinguish between a worker-related issue and a system-related issue. Too often, people are held accountable for inefficiencies that originate in poor process design.
This also changes the way managers should interpret variance. A shortfall in output may reflect a capability gap, but it may equally indicate poor line balancing, delayed inputs, equipment instability, or a shift pattern that is no longer fit for purpose. The response cannot always be to demand more effort. It should be to diagnose the constraint accurately. When leaders separate symptoms from root causes, productivity reviews become more constructive, accountability becomes fairer, and improvement efforts are more likely to endure across plants and business cycles.
Technology must reduce friction, not add to It
Technology has an important role here, but it must be applied with judgment. Digital work instructions, predictive maintenance, better scheduling tools, ergonomic interventions, and real-time visibility can simplify tasks and support better decisions.
Adoption, however, has to be practical. A tool that adds complexity without solving a real shopfloor problem will not create value. Workers and supervisors should be involved early because they understand where time is lost, where strain accumulates, and where seemingly minor process gaps repeatedly affect performance. Their feedback is operational intelligence.
Productivity is also a leadership responsibility
Leadership also has to look beyond the immediate quarter. Deloitte’s 2026 Global Human Capital Trends survey found that seven in ten business leaders see speed and agility as their primary competitive strategy for the next three years. In industrial settings, agility cannot be built through pressure alone. It comes from stable systems, skilled people, trusted supervisors, and a workplace where improvement is continuous rather than reactive.
For CHROs, this is not merely an HR agenda. It requires close partnership with operations, safety, engineering, and plant leadership. The objective is not to lower expectations. It is to create the conditions in which high expectations can be met consistently.
The most productive industrial organisations will not be those that extract the maximum output from every shift at any cost. They will be the ones who strengthen capability, remove avoidable friction, listen to the shopfloor, and make performance sustainable over time.
About the author: Ranjan Sarkar is the Group CHRO at LNJ Bhilwara Group, with over 26 years of cross-industry HR leadership experience across manufacturing, automotive, pharmaceuticals, renewable energy, textiles, metals, BFSI, and media.