By Vincent Tang
It is often said that manufacturing is the backbone of the Malaysian economy. Now, with the New Industrial Master Plan 2030 (NIMP 2030) in full swing, the country aims to move up the manufacturing value chain, increase economic complexity, and achieve RM587.5 billion in manufacturing value-added by the end of the decade.
But while manufacturing output and investment continue to expand, execution on the ground is increasingly constrained by labour shortages and operational inefficiencies.
This growing disconnect between ambition and workforce realities is emerging as one of the most pressing challenges facing the industry today.
Persistent factory floor gaps
Last year, Malaysia set out to create 700,000 new jobs in manufacturing. However, by year-end, the sector recorded the highest number of job vacancies across the economy, accounting for more than half of all open positions.
Despite generally offering wages that are higher than the national minimum, attracting local talent appears to be an acute problem for the manufacturing sector. Filling vacancies for operators, technicians, and engineers continues to persist, highlighting a broad-based challenge rather than isolated hiring gaps. At the same time, high turnover in lower-skilled roles further disrupts operational continuity.
This points to a deeper issue. The challenge is not simply about the availability of jobs, but the alignment between workforce capabilities and industry needs. As manufacturing shifts toward more advanced, technology-driven processes, the demand for specialised skills continues to outpace supply.
More than an operational issue
If left unaddressed, manufacturing’s extant workforce constraints, particularly in technical and specialised roles, risk becoming a structural bottleneck. They threaten to slow the adoption of Industry 4.0 practices, delay digital transformation efforts, and weaken Malaysia’s global competitiveness.
While labour shortages are often framed as a supply issue, this perspective overlooks a more fundamental challenge: productivity.
Many manufacturers continue to operate with legacy systems and labour-intensive processes that limit output per worker. In such environments, increasing production often depends on increasing headcount, a model that is increasingly unsustainable amid tightening labour supply and rising costs.
Outdated enterprise systems, particularly legacy enterprise resource planning (ERP) platforms, further compound the problem. These systems are often difficult to integrate, lack scalability and provide limited real-time visibility across operations. As a result, decision-making becomes reactive, workflows remain fragmented and coordination across functions is hindered.
Hiring sprees will do little to boost performance if these underlying inefficiencies are not tackled. In fact, it can place additional strain on existing teams, who must compensate for system gaps through manual processes and workarounds. Ultimately, the issue is not just a shortage of workers, but a limitation in how effectively existing resources is utilised.
Scaling productivity intelligently
Addressing this challenge requires a shift in focus that goes beyond workforce expansion. Rather than churning through staff, firms must look to augment capabilities. Artificial intelligence (AI) and digital technologies offer a practical path here.
In manufacturing settings, this can take many forms. Predictive maintenance helps reduce unplanned downtime by identifying equipment issues before they escalate. Advanced demand forecasting improves alignment between production and market needs. Intelligent scheduling systems optimise resource allocation and minimise bottlenecks, while automated quality control enhances consistency and reduces rework.
However, realising these benefits requires more than deploying standalone solutions. It calls for a transformation in how operations are structured and managed.
Manufacturers must move from reactive to predictive decision-making, from manual workflows to automated processes, and from siloed systems to integrated platforms. At the centre of this transformation is data, specifically, the ability to unify information across production, supply chain and business functions.
This is where modern, AI-powered ERP systems play a critical role. By serving as a single source of truth, they enable end-to-end visibility, support real-time decision-making and facilitate seamless coordination across the organisation.
Bridging the execution gap
While the direction is clear, modernisation remains uneven across Malaysia’s manufacturing landscape. High upfront costs, integration complexity, and limited access to technical expertise continue to slow adoption, particularly among small and mid-sized enterprises. Although initiatives like Industry4WRD have been introduced to support digital transformation, uptake varies widely and many firms remain at different stages of digital maturity.
Closing this gap will be essential. Broad-based adoption of digital technologies is needed to ensure that productivity gains are not concentrated among a small group of leading firms but distributed across the wider industrial ecosystem.
The conversation must evolve. Labour shortages, while significant, are only one part of a larger challenge. The need of the hour lies in building a manufacturing sector that is not only larger, but smarter, driven by productivity, powered by innovation and capable of competing with the world’s very best.
In the end, filling production gaps will not come from hiring alone. It will come from rethinking how work is done by leveraging AI and innovation to unlock the full potential of both people and processes.
The author for the above commentary is Epicor Asia Vice President
