Factors Influencing Human Resource Deployment in Dairy Plants

Getting the right number of people in a dairy plant – not too many, not too few – is one of the most practical challenges in plant management. Understaffing leads to missed production targets and safety risks, while overstaffing inflates costs without adding value. Effective human resource deployment doesn’t happen by guesswork. It results from understanding the specific factors that shape manpower needs at every level of the operation. Research on dairy industries confirms that in manpower deployment, two aspects are of primary importance: skill and strength – meaning the right qualification, and the right number. Here is a close look at the nine key factors that influence human resource deployment in dairy plants.

Capacity and size of the dairy plant 🔗

The installed capacity of a dairy plant and how much of that capacity is actually expected to be utilized directly shapes how many workers are needed. A well-documented principle in dairy plant management is that even plants with relatively low capacity utilization may require higher staffing if the physical layout, shape, or technical complexity of the facility demands it. A large plant handling 50,000 litres or more per day will typically need separate, dedicated manpower for milk reception, chilling, processing, packaging, quality control, maintenance, and administration. A small plant processing under 10,000 litres can often manage with a single person overseeing multiple sections. The scale of operations, therefore, sets the baseline for the entire manpower plan.

Products and product technology 🔗

The types of products a plant manufactures, and the technology used to make them, significantly affect how many people are required and what skills they need. Liquid milk in bulk containers requires fewer hands than retail pouch packaging, where each filling machine needs a dedicated operator along with support staff for crate washing, loading, unloading, and cold room stacking. As product complexity increases – from standard pasteurized milk to specialty items like aged cheese, probiotic yogurt, or skim milk powder – the skill requirements and labor intensity rise correspondingly. Field studies of dairy industries show that products manufactured through fully automatic machinery need less manpower overall, while those based on indigenous techniques involving human craft and judgment – like traditional peda or paneer – demand considerably more. Pack sizes matter too: retail operations consistently require more personnel than bulk dispatch.

Level of automation 🔗

Automation is one of the most significant factors reshaping manpower requirements in modern dairy plants. The level of automation varies widely from one facility to another and even from one section to another within the same plant. In a highly automated plant, operations such as product transfer, filling, and conveying are handled by conveyors, pumps, and programmable logic controllers, while process parameters are monitored through sensors in real time. This reduces the number of floor operators needed but increases demand for maintenance technicians, process engineers, and quality control specialists who can manage and troubleshoot these systems. Semi-automated plants often require workers who can shift between manual tasks and machine-assisted ones – a different kind of skill profile altogether. Old and traditional plants with minimal automation, by contrast, depend heavily on manual labor across nearly all operations. Industry reviews on dairy automation note that labor costs account for roughly half of total production costs in manual operations, which is precisely why automation decisions have such a direct impact on manpower planning.

Equipment requirements 🔗

The specific features of equipment used in a dairy plant have a direct bearing on staffing needs. Equipment that requires manual loading and unloading of raw materials, or that depends on manual cleaning-in-place (CIP) procedures, demands additional workers compared to systems with automated material handling. The size and number of machines, the frequency of cleaning cycles, and the technical complexity of maintenance routines all translate into concrete staffing requirements. For example, a can washing line using a rotary washer needs at least two persons, while each separate station – the can scrubber, steam block, and inspection point – typically requires a dedicated worker. Understanding the operational demands of every piece of equipment is therefore an essential step in accurate manpower planning.

Number of shift operations 🔗

Dairy plants generally run around the clock because milk procurement and processing involve time-sensitive operations. Most plants divide their workday into three shifts of eight hours each – first, second, and third shift – to maintain continuity. Some plants operate in two shifts, particularly for procurement and marketing activities. Occasionally, the number of shifts has to be increased when there are bottlenecks in milk availability, machine capacity, or cold storage space. Each additional shift multiplies the core staffing requirement, since production, quality control, and maintenance teams must all be present in every shift. As documented in dairy plant management literature, shift structures must be factored into the total manpower count from the very beginning of the planning process – getting this calculation wrong leads to either chronic understaffing on the floor or unnecessary payroll expenditure.

Legal provisions 🔗

Labour laws and welfare regulations place mandatory obligations on dairy plant management when deploying human resources. These provisions govern maximum working hours, minimum rest periods between shifts, weekly day-off entitlements, overtime thresholds, and safety requirements. Compliance requirements outlined in dairy sector studies make clear that planners must account for these statutory requirements when determining shift sizes. If a plant cannot legally schedule an employee for back-to-back shifts without a mandatory rest period, the actual available working hours per employee are lower than the theoretical maximum – meaning more workers may be needed to cover the same production hours. Food safety regulations add another layer, often requiring certified quality technicians and dedicated sanitation personnel to be present during all processing shifts, further influencing the minimum staffing threshold.

Seasonal variations 🔗

The dairy business is highly sensitive to seasonal cycles. Milk procurement volumes tend to fall during summer months, while consumer demand for processed milk and milk products rises during the same period. Festival seasons bring sharp, short-term spikes in demand. Flush seasons – when milk collection is at its peak – require additional capacity at every stage from reception to storage. Survey data from dairy industries shows significant gaps in milk collection between flush and lean seasons, with large dairies being the most affected. To manage these fluctuations, plants typically hire temporary unskilled workers during peak periods and release them during lean ones. This flexibility, however, works only at the lower end of the skill spectrum – skilled and technical roles cannot be staffed on a seasonal basis without major disruption to quality and operations. A well-constructed manpower plan must therefore distinguish between the permanent skilled core and the flexible unskilled layer.

Centralized or decentralized operations 🔗

The physical configuration of a dairy’s operations – whether everything happens at a single site or across multiple locations – significantly changes manpower needs. Some dairy plants have raw milk reception and chilling operations located away from the main processing facility, receiving only pre-chilled bulk milk via tanker trucks at the processing end. When this decentralized model is in place, the main plant does not need personnel for can milk reception, grading, sampling, raw testing, or can cleaning – all tasks that typically require a sizeable team. This reduces staffing requirements at the central processing site considerably. On the other hand, remote chilling centres and satellite collection points need their own dedicated staff. Whether operations are centralized or spread across a milkshed, the deployment plan must reflect the actual workflow at every node of the supply chain.

Degree of contractual arrangement 🔗

Many dairy plants have shifted certain non-core activities to contract workers or third-party service providers. Tasks like cleaning and sanitizing milk cans and crates, product packing, and intra-plant material movement are commonly outsourced. Sub-contracting of packing lines and transportation has become increasingly common in the industry. When a plant relies on contractual labour for these functions, its permanent workforce requirement shrinks considerably – both in terms of regular employees and the extra headcount typically maintained as a buffer. As noted in dairy plant HR planning guidance, contractual arrangements can dramatically reduce the need for both additional and regular workers, making them a meaningful variable in overall manpower calculations. The extent of outsourcing adopted is therefore a key input when projecting deployment needs.

Putting it all together 🔗

No single factor determines how many people a dairy plant needs. The final manpower requirement emerges from how all nine of these factors interact in a specific plant, at a specific scale, with a specific product mix and operational structure. A large, fully automated plant running three shifts and producing specialty products will have an entirely different HR profile from a small, semi-mechanized unit producing standard pasteurized milk in two shifts with extensive outsourcing. Human resource planning literature consistently reinforces that both the number of workers and their skill level must be planned in tandem – deploying the right quantity of poorly matched skills is just as costly as being under-staffed. Understanding these influencing factors gives dairy plant managers and entrepreneurs the analytical foundation to build a workforce that is neither bloated nor stretched, and capable of sustaining reliable, high-quality production over the long term.

What do you think? Given the growing adoption of automation in dairy processing, how should small and mid-sized plants recalibrate their manpower plans when they transition from semi-manual to semi-automated operations? And with seasonal milk variation being one of the most persistent challenges, what staffing strategies do you think work best for maintaining quality output during lean seasons?

References

1. https://giwmscdnone.gov.np/media/app/public/329/posts/1718253110_70.pdf
2. http://dairy-technology.blogspot.com/2014/01/human-resource-planning.html
3. https://hartdesign.com/industry-news/how-automation-is-reshaping-dairy-processing/
4. https://arccjournals.com/journal/asian-journal-of-dairy-and-food-research/DR-1856
5. https://www.managementstudyguide.com/manpower-planning.htm