Production control is responsible for comparing planning, target, and benchmark data with actual data from past periods.
Production planning and control are key components of operational production management. Planning defines what will be produced, when, and how. Control ensures execution – it monitors processes and adjusts them flexibly as needed.
The shared objective: to organize production processes efficiently, make the best use of resources – and keep quality, deadlines, and costs under control at all times.
Without clear planning and control, production processes quickly run into trouble: materials are missing, machines stand idle, and delivery deadlines are missed. Structured planning creates transparency and enables fast responses – while control ensures reliable execution and early intervention when deviations occur.
Together, they safeguard efficient workflows, better use of resources, and consistent quality and on-time delivery – especially vital in regulated industries.
In most cases, production managers are responsible for planning and control. In smaller companies, a single person may cover both roles. Close coordination with purchasing, sales, and logistics is essential – only then can material flows and delivery schedules be seamlessly aligned.
Digital tools such as ERP or MES systems support those in charge by bringing data together in one place, automating processes, and simplifying the management of capacities and orders.
Production planning and control consist of several areas that together ensure production runs efficiently, transparently, and on schedule.
Production program planning
This defines which products will be manufactured, in which quantities, and within which timeframes. Production program planning is a central part of strategic and tactical production planning – and belongs to the core area of production management. It operates on three levels:
Material requirements planning
This determines which materials and components are needed. Starting from the primary requirements (saleable end products), the secondary requirements (e.g., individual parts, raw materials) are calculated. Digital tools such as ERP or PIM systems support this by efficiently managing material master data and automating requirements calculations.
Production process planning
This coordinates the production flow: which orders run when, on which machines, and with which staff. It includes lot size planning, capacity and scheduling, sequence planning, detailed scheduling, and order release – the link to production control.
The objectives of production planning and control are to design production processes in a way that makes the best possible use of materials, machines, personnel, and time. Effective production planning ensures that customer requirements are met reliably – while keeping costs low, efficiency high, and processes flexible.
While the objectives of production planning focus on structure, demand, and resource utilization, production control ensures smooth and on-time execution of that planning in practice.
Key objectives include:
Especially in regulated industries such as pharmaceuticals, medical technology, or cosmetics, well-designed production planning plays a crucial role in competitiveness and process reliability.
In practice, production planning and control go hand in hand: while planning defines what will be produced and when, control ensures that these plans are executed, monitored, and adjusted if necessary. Only the interaction of both areas guarantees a smooth and efficient production process.
Example: Planning specifies that product A will be manufactured next week. Control ensures that everything is in place to make it happen.
Production planning can be divided into three overarching levels: strategic, tactical, and operational. Each level plays a distinct role in the planning process – from long-term direction to day-to-day execution on the shop floor.
The goal: to safeguard on-time delivery, capacity utilization, and responsiveness in day-to-day operations. These levels together form the foundation for practical production planning – from requirements analysis to operational execution.
The following section outlines the typical production planning process – including a practical example and tips on how to optimize production planning.
Production planning follows a successive approach: the overall objective – economically viable production – is broken down into sub-tasks, which are addressed step by step. The result of each step forms the basis for the next. This method is known as successive planning and is characteristic of modern planning systems – particularly when dealing with complex products and a wide variety of variants.
The most important steps in production planning at a glance:
Once planning is completed, operational control begins – the practical execution of the planned processes. It consists of the following steps:
Production planning and control are not one-off activities but an ongoing process divided into several stages – from strategic direction to the evaluation and optimization of ongoing operations:
At the strategic level, overarching production goals, production direction, and fundamental quality standards are defined. This type of planning typically covers a period of more than three years.
This level focuses on planning over months up to a year. The main aspects include resource availability, capacity planning, and required working hours. The objective is to prepare production processes in a structured and realistic way.
Here, the focus is on daily or weekly detailed planning: what quantities will be produced, and which machines and employees will be in use at what times? This also includes monitoring ongoing processes and making adjustments in case of bottlenecks or disruptions.
Control ensures the implementation of planned processes: order release, monitoring, compliance with requirements, and ad-hoc adjustments during operations. It is crucial for smooth workflows and quick responses to deviations.
Finally, performance is evaluated: how efficient was production, and where is there room for improvement? Factors such as process performance, product quality, and cost-effectiveness are assessed. The results flow back into long-term planning as part of a continuous improvement process. Production analysis also delivers key metrics on process performance and goal achievement – making it essential for the objectives of production control.
Production planning and control are based on a wide range of proven models and decision-making methods. They help analyze complex processes in a structured way, design them efficiently, and ensure compliance with regulatory requirements.
A well-known example is the Hanover supply chain model, which links production planning, control, and logistical objectives such as delivery reliability or capacity utilization in a holistic approach.
In practice, different methods of requirements planning are used, including:
There are also proven approaches in scheduling and capacity planning, such as forward, backward, or midpoint scheduling. Depending on the method, planning starts from the production start date, works backward from the delivery date, or focuses on the bottleneck resource.
In production control, sequencing rules – such as first in, first out (FIFO) or shortest processing time (SPT) – help assign orders efficiently to machines and ensure high utilization.
A particularly practical example is the FEFO principle (first expired, first out), widely used in the food, cosmetics, and pharmaceutical industries. Products are prioritized based on their expiration date to safeguard quality and comply with legal requirements.
The Yaveon ERP industry solution supports many of these methods automatically – from requirements planning to scheduling to FEFO-based batch processing. In this way, theory becomes a practical, rule-based process that creates transparency and reliably guides day-to-day production.
In production planning and control, different objectives often collide – and not all of them can be achieved optimally at the same time. This is referred to as the polylemma of production planning.
These objectives influence each other – both positively and negatively. The challenge lies in finding the right balance that ensures cost-effectiveness, on-time delivery, and compliance.
Modern ERP systems such as the Yaveon ERP industry solution support this balancing act with transparent data, automated processes, and integrated rule sets. This allows companies to stay flexible without losing stability.
In regulated industries such as pharmaceuticals, medical technology, biotechnology, cosmetics, chemicals, or food, particularly strict legal requirements apply. Production planning and control face specific challenges here, as all processes must be compliant, transparent, and audit-ready – while remaining economically viable.
Authorities such as the FDA, EMA, or local supervisory bodies set clear requirements. Standards like GMP, ISO 13485, or GxP guidelines must be fully observed, documented, and regularly validated – including during process changes or new batches.
Every single step – from raw material delivery to finished product shipment – must be traceable and documented. Control ensures that all planned workflows are executed and recorded correctly – for example, via batch records or electronic batch records.
Equipment, software, processes, and work instructions must be validated and qualified before use. Planning and control must work together to ensure full compliance – even when changes occur.
Inspections, approvals, and releases extend throughput times. Production planning must factor in realistic time buffers, while control ensures on-time execution despite regulatory hurdles.
Companies must always be prepared for internal and external audits. Control ensures that all processes are fully traceable and audit-ready.
Regulations require risk-based planning and control: supplier assessments, risk analyses, deviation management – all embedded in an integrated approach. Deviations must be addressed quickly and documented completely.
Handling hazardous substances, special storage conditions, and disposal are subject to strict safety regulations. Control must ensure consistent implementation in practice.
Recalls, new regulatory requirements, or raw material shortages demand high adaptability. Planning and control must jointly ensure that delivery capability and quality are maintained despite these challenges.
Errors in planning or deficiencies in control can lead to recalls, fines, or production stoppages – with significant financial and legal risks.
Production planning and control in regulated industries are far more complex than in other sectors. Beyond the classic parameters of time, cost, and capacity, regulation, quality, and risk must always be considered. Without digital support from specialized ERP systems, this level of complexity is nearly impossible to manage.
For production planning and control to work efficiently, flexibly, and in compliance in practice, the right digital support is essential. Depending on company size, industry, and process complexity, different software systems are used: ERP, MES, or APS. Each plays a distinct role in the planning process – from rough planning to real-time control.
The Yaveon ERP industry solution, based on Microsoft Dynamics 365 Business Central, helps companies in the process industry manage their production processes holistically, transparently, and in compliance – from rough planning to operational execution.
The solution includes industry-specific features that reliably address typical challenges such as bottlenecks, quality requirements, or strict regulations:
With the Yaveon ERP industry solution, production planning and control become significantly simpler, safer, and more efficient – enabling stable processes, high delivery reliability, and greater control in everyday production.
Production control is responsible for comparing planning, target, and benchmark data with actual data from past periods.
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Detailed scheduling is the process of planning tasks and resources in detail within a project – including timelines and resource allocation.