What is process manufacturing?

From yogurt to shampoo to jet fuel, process manufacturing transforms raw materials into essential products that touch our lives every day – and it does so at scale, with consistency and safety.

Process manufacturing is less about assembling and more about combining. Think about making a jug of lemonade: If you accidentally add salt instead of sugar, you can’t take it out. You have to scrap the whole batch and start again. Its irreversible nature is one of the fundamentals of industrial process manufacturing. Whether it's food, chemicals, beverages, or cosmetics, the result is nearly always made in massive, costly batches that can’t be disassembled once they’re made.

These operations track batch size, yield, and ingredient variability, and must maintain consistent quality across every unit, from a can of soda to an industrial chemical compound. And because process outputs are often sensitive to factors such as temperature, pressure, and timing, manufacturers use real-time monitoring, strict quality control, and digital recordkeeping to ensure product integrity and full compliance with a complex and ever-evolving set of regulations and standards. 

Process manufacturing definition and examples

Process manufacturing is a type of manufacturing process that creates goods by combining supplies or ingredients using formulas or recipes. Some examples of the resulting products are items such as food, chemicals, or pharmaceuticals. They are typically produced in bulk and cannot be disassembled into their original components.

Process vs. discrete manufacturing: What’s the difference?

Both process and discrete manufacturers produce goods for consumers, businesses, and industries. And although they share many procedural strategies and challenges, the way they operate – and what they produce – is fundamentally quite different.

Process Manufacturing Discrete Manufacturing
What it is Process manufacturing transforms ingredients into finished products using formulas or recipes. It’s a one-way street – once blended or chemically altered, products cannot be broken apart into their original ingredients. Discrete manufacturers assemble parts to create unique, standalone product that can typically be disassembled into their individual components. Production follows a structured bill of materials (BOM) and defined routing.
Example outputs Juice, detergent, paint, vitamins Cars, appliances, circuit boards, apparel
Example inputs Liquids, powders, gases, organic ingredients Screws, panels, motors, chips, fabric
Characteristics Yield-based, irreversible, compliance-intensive Configurable, serialized, highly structured
Workflow Mix → Monitor → Package Assemble → Inspect → Ship

What are the characteristics of process manufacturing?

Process manufacturing is built on consistency, traceability, and control. Whether producing a teaspoonful or a thousand gallons, there should be no differentiation in quality or reliability. Here are some of the factors that support these operations:

  • Recipe-based production
  • Rather than assembling parts, process manufacturing follows a formula or recipe, using precise amounts of ingredients to produce a set quantity of output. Units are measured in volume, weight, or time rather than eaches or pieces.

  • Irreversible transformation
  • This term refers to a core challenge of process manufacturing. Since batches can’t be disassembled, there is enormous pressure for processes and systems that support greater control and end-to-end visibility across operations.

  • Batch or continuous flow
  • With batch production, ingredients are mixed to meet specific run sizes, then the process starts all over again. Continuous processes such as refining or chemical blending often operate 24/7. But both require careful real-time monitoring.

  • Yield variability
  • Inputs like raw crops or bulk ingredients can vary by source, season, or supplier. Manufacturers must adjust recipes or timing to maintain output consistency. That makes yield tracking and formulation flexibility essential.

  • Compliance and traceability
  • Process sectors are heavily regulated. From sourcing and mixing to filling and packaging, manufacturers must meet health, safety, and environmental standards. And of course, this means meticulous tracking and care.

  • Sensitivity to conditions
  • Temperature, pressure, humidity, and storage are just a few of the factors that can affect product quality. Real-time sensors and automated adjustments help maintain tight control of variables throughout the process.

  • Waste and co-products
  • Some processes produce co-products (like animal feed from corn processing) or waste byproducts that must be treated or disposed of appropriately. The importance and potential impact of these responsibilities cannot be overstated.

The evolution of process manufacturing systems

Today’s most effective systems do more than automate. They connect teams, standardize processes, and deliver real-time insight across every stage of production. Here are some examples of smart technologies and how they’re transforming process manufacturing:

AI automation for smarter operations

AI-powered automation delivers intelligent alerts, predictive quality checks, recipe adaptation, and more. These tools help teams optimize performance, reduce waste, and respond faster to supply or spec changes.

Formula and recipe management

With built-in controls to prevent unauthorized edits, modern systems make it easy to update, version, and distribute recipes across global sites. You can track performance, adjust formulas, and enforce consistent execution across locations.

Batch and lot traceability

Digital batch records provide a full genealogy by linking products to exact inputs, process conditions, and operators. This level of traceability supports faster recalls, safer audits, and better root-cause analysis if needed.

Real-time production monitoring

Sensors and automation tools track process-specific variables like temperature, pH, or viscosity. If an item is out of range, you can receive instant alerts. This helps to reduce waste and ensure full compliance.

Integrated quality and production systems

Issues can be spotted earlier if quality checks are tied directly to production data. System integration helps you reduce manual entry, standardize tests, and ensure every batch meets spec before it moves.

Regulatory compliance and documentation

From sanitation to packaging verification, digital systems log every step of the process. If you deal with food safety, chemical reporting, or international labeling laws, you can generate reports on demand.

Yield optimization and waste reduction

Analyzing real-time data and process performance lets you spot where overfills, short runs, or ingredient loss occur. You can then make adjustments that improve yield, reduce waste and run more profitably.

Coordination across sites

Share recipes, monitor inventory, and enforce best practices in real time. That means faster response to change and less supply chain disruption.

Common challenges for process manufacturers

Process manufacturers operate in high-stakes environments where consistency is fundamental. A single deviation in recipe, temperature, or labeling can impact product quality, regulatory compliance, or even public safety. Process manufacturing is also near to our hearts as it often involves products that we use around our homes and put in or on our bodies. For this reason, in addition to complex workflows and operational challenges, businesses in this sector face inordinate reputational and compliance risks.

  1. Variability in raw materials. Yield variability is a core operational component in this sector. Factors can include purity, seasonality, suppliers, or literally hundreds of other things. Variability must be accounted and adjusted for in real time, making this a big challenge across many industries.
  2. Regulatory complexity. Food safety, environmental standards, labeling laws, chemical handling requirements, and much more, vary by region and product. End-to-end documentation is essential to ensure lot-level traceability and to generate audit-ready reports across every facility and batch.
  3. Batch consistency and quality control. As with materials variability, inconsistencies or small production changes can affect texture, stability, or performance. Maintaining tight process control and accurate, real-time monitoring is non-negotiable in ensuring consistency from batch to batch.
  4. Waste and byproduct management. Operations can generate co-products, off-spec materials, or waste. The degree of risk this waste presents will vary by industry, but all process manufacturers share a risk of potential brand damage or worse, public risk. They rely upon tools that support reuse, recycling, or safe disposal.
  5. Global supply disruptions. Bulk materials may be sourced across continents. That makes supply chains vulnerable to economic, political, and natural disruptions. End-to-end visibility and ingredient traceability are more than a logistics issue for these industries - they are essential components of doing business.
  6. Energy and resource consumption. Mixing, heating, drying, cleaning, and packaging all require significant energy and water use. Companies face twin priorities of ensuring responsible environmental stewardship, while also cutting costs. This means finding ways to optimize energy use without sacrificing quality or throughput.
  7. Packaging and labeling risks. No matter how perfect the product, an error in labeling, packaging, or usage instructions can lead to disaster. Automated checks, connected teams and systems, and centralized control of packaging specs are increasingly vital, especially for multi-market distribution.

The future of process manufacturing

As the sector adapts to global shifts, success increasingly depends on how well operations can flex, trace, and respond. Manufacturers will seek innovations to help them master recipes, regions, and regulatory demands. Here are just a few of the evolving trends:

  • AI-powered operational support
  • Machine learning and AI-powered tools help manufacturers to contextualize decisions. From sourcing to cleaning to changeover timing, AI is helping teams weigh tradeoffs, anticipate outcomes, and respond with greater confidence.

  • Intelligent recipe adaptation
  • Ingredient sources fluctuate and formulations evolve. This means adapting recipes without compromising quality. Real-time feedback loops and historical performance data will help you automate fine-tune timing, temperatures, and ratios as conditions change.

  • Environmental intensity tracking
  • Rather than simply reporting waste or emissions, manufacturers are starting to embed environmental metrics directly into their daily decisions. This will include tracking carbon and energy intensity per batch, per line, or even per unit of yield.

  • Packaging innovation
  • Packaging is becoming a more critiqued and strategic business component. From biodegradable films to smart labels, companies are investing in tools that manage design complexity and support compliance with rapidly shifting international requirements.

  • Real-time collaboration across partners
  • Contract manufacturers, ingredient suppliers, and distributors all share responsibility for quality, timing, and traceability. Cloud-native systems are making it easier to share data securely across organizational boundaries – helping everyone stay aligned in high-stakes environments.

Process manufacturers need fast time to market for high quality, safe, and compliant products. See how Infor PLM for Process can help make it happen.

Explore Infor PLM for Process

Conclusion

Whether you're producing at industrial scale or managing niche formulations, success in process manufacturing means more than just running efficiently. It means staying compliant, staying consistent, and staying ready for what’s next. Today’s manufacturers are modernizing their strategies, becoming more resilient, and leveraging AI-powered ERP and technologies to help them grow and compete in a fast-paced world.

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