The product-process matrix matches the kind of product a business makes, from one-off custom items to high-volume commodities, with the production process that suits it, from a job shop through batch and assembly line to continuous flow. Robert Hayes and Steven Wheelwright introduced it in “Link Manufacturing Process and Product Life Cycles”, Harvard Business Review, January 1979. Companies on the diagonal fit process to product; companies off it are either making a deliberate bet or carrying a mismatch.
Locate it by volume and standardisation, from unique low-volume items to high-volume commodities.
02
Place the process
Locate the operation by how it flows, from jumbled job shop to rigid continuous line.
03
Read the diagonal
On the diagonal, the process fits the product. Off it, costs or flexibility are being sacrificed.
04
Plan the move
As a product matures, decide whether and when the process should move down the diagonal with it, or deliberately stay off it.
Where you see it today
The diagonal holds, with exceptions
A survey of US manufacturing plants found process choice strongly tied to product customisation: job and batch shops customised more and had higher costs (Safizadeh et al., 1996). Some continuous-flow plants customised more than expected by using part commonality and flexible automation.
Software sits off the diagonal
Generative AI produces tailored output, such as a custom report or a piece of code, from a process that runs like continuous flow. For information goods, the old trade-off between variety and unit cost is much weaker.
Flexible robots
Google DeepMind’s Gemini Robotics models (2025) aim to let robots handle tasks they were not trained on and respond to plain-language instructions. If that holds outside the lab, automated lines could take on more of the variety that today needs a job shop.
Reshoring choices
Firms reconsidering where to make things face the matrix again: a plant built for one product at scale is cheap per unit but slow to change, while a flexible cell costs more per unit but absorbs shocks in demand.
The four process types
Job shop
Product profileLow volume, unique, high variety
Typical exampleCustom machinery, print shop
Batch
Product profileLow to medium volume, several products
Typical exampleBakery, machine parts
Assembly line
Product profileHigh volume, few major products
Typical exampleCars, appliances
Continuous flow
Product profileVery high volume, commodity
Typical exampleOil refining, sugar, chemicals
How to use it
Plot each product line and its process on the matrix, and flag anything far off the diagonal.
For each off-diagonal position, write down whether it is a strategy or an accident.
Revisit the plot when a product matures: the right process often changes before the organisation notices.
Ask where software, data or flexible automation could let you offer more variety without moving up the cost curve.
Do not mix job-shop and flow-line work in one unit without separating their goals and metrics.
The Business Engineer lens
The matrix assumes variety and efficiency pull against each other, and for physical goods that is still mostly true. The Business Engineer watches physical AI because it is the first serious attempt to weaken that trade-off on the factory floor, not just in software.
For software and information goods it weakens the trade-off between variety and cost; for physical goods, flexible automation and robotics may do so, but the evidence is still early.
The complete explainer, cleaned up and reformatted for mobile.
STRATEGIC MATRIX
Product-Process Matrix
The product-process matrix (PPM) is a tool for assessing the relationship between the product and process lifecycle. Businesses use the product-process matrix to understand better various strategic options related to their manufacturing operations. By incorporating knowledge of the interaction between the product and process life cycle into strategic planning, the business can think creatively to improve organizational competence and establish a competitive advantage.
Process Flow
Step-by-Step Process
1
Low volume, one-of-a-kind (unique) products with low standardization.
2
Low volume, multiple products that are not one-of-a-kind.
3
Higher volume standardized products, and
4
Very high volume commodity products.
When To Use
▶While the matrix has long been associated with medicine, technology, and engineering, the approach works well for any project…
The product-process matrix (PPM) is a tool for assessing the relationship between the product and process lifecycle.
What is the structure of the product-process matrix?
The product-process matrix contains sixteen cells with two dimensions:
What is the four distinct stages of the product-process matrix?
The region a business occupies in the matrix is determined by its stage in the product life cycle and its choice of the production process.
Key Insight
By incorporating knowledge of the interaction between the product and process life cycle into strategic planning, the business can think creatively to improve organizational competence and establish a competitive advantage.
Exec Package + Claude OS Master Skill | Business Engineer Founding Plan
FourWeekMBA x Business Engineer | Updated 2026
The product-process matrix was introduced in two articles published in the Harvard Business Review in 1979. Developed by Robert H. Hayes and Steven C. Wheelwright, the matrix assesses the relationship between:
The stages of the product life cycle (from ideation to growth or decline), and
The stages of the process (technological) life cycle.
Project Layout
DescriptionLow volume, high variety: Unique, custom-made products.
AnalysisEach product is individually crafted, resulting in high customization and variety.
ImplicationsHigh flexibility, longer production times, and skilled labor are necessary.
ExamplesCustom-built luxury yachts, one-of-a-kind art pieces.
Workcenter Layout
DescriptionLow volume, low variety: Low volume of standardized products.
AnalysisProducts are made in batches, but each batch consists of similar items.
ImplicationsModerate flexibility, efficient for small-scale production.
ExamplesBakery producing various types of bread, small machine shops.
Manufacturing Cell
DescriptionMedium volume, low variety: Moderate volume of similar products.
AnalysisProducts are made in batches, but each batch consists of similar items.
ImplicationsBalanced flexibility and efficiency, suitable for medium-scale production.
ExamplesCar assembly line producing various car models, apparel factories.
Assembly Line Layout
DescriptionHigh volume, low variety: High volume of standardized products.
AnalysisMass production with high volume and minimal customization.
ImplicationsHigh efficiency, low unit costs, limited flexibility.
ExamplesFast-food chain producing a standard menu, automotive plants.
Continuous Process
DescriptionHigh volume, very low variety: Continuous production of identical products.
AnalysisOngoing, uninterrupted production of a single, standardized product.
ImplicationsMaximum efficiency, lowest unit costs, minimal flexibility.
ExamplesOil refineries, chemical plants, paper mills.
Understanding the product-process matrix
The product-process matrix (PPM) is a tool for assessing the relationship between the product and process lifecycle.
Businesses use the product-process matrix to understand better various strategic options related to their manufacturing operations.
By incorporating knowledge of the interaction between the product and process life cycle into strategic planning, the business can think creatively to improve organizational competence and establish a competitive advantage.
The PPM matrix can also involve manufacturing staff in opportunities, decisions, and continuous improvement initiatives where they would otherwise not be consulted.
To that end, the matrix can serve as a precursor to a root cause analysis and can also be used to identify process bottlenecks.
The structure of the product-process matrix
The product-process matrix contains sixteen cells with two dimensions:
Product structure/product life cycle โ which occupies the four columns of the matrix, and
Process structure/process life cycle โ occupies the matrix’s four rows.
Product development process columns
Each of the four columns denotes a product as it moves across different manufacturing phases:
Low volume, one-of-a-kind (unique) products with low standardization.
Low volume, multiple products that are not one-of-a-kind.
Higher volume standardized products, and
Very high volume commodity products.
Process lifecycle rows
Each of the four rows, on the other hand, describes various processes:
Jumbled flow.
Disconnected line flow.
Connected line flow, and
Continuous flow.
The four distinct stages of the product-process matrix
The region a business occupies in the matrix is determined by its stage in the product life cycle and its choice of the production process.
Imagine that a diagonal line is drawn from the top left cell to the bottom right cell of the PPM.
According to Hayes and Wheelwright, this line is where most organizations reside since product and process choices naturally align.
Four stages fall along the diagonal line, and each has a set of unique characteristics.
In the first stage at the top left of the matrix, production is not standardized and is thus more expensive.
By the fourth stage of the matrix, however, production has become standardized, mechanized, automated, and thus more cost-effective.
To better understand this evolution, we will describe each of the four stages below.
1 โ Job shop
In the first stage, organizations manufacture different products in small quantities.
The unique nature of products necessitates customization, direct interaction with the customer, and skilled expertise or craftsmanship.
This production process favors creativity and flexibility over repetition and efficiency.
It may also be time-consuming if certain raw materials or skills are unavailable.
Medical practices, mechanics, and artisanal producers are good examples of job shops since the product is customized and frequently requires different operations.
2 โ Batch
Batch processes can produce more products than a job shop, but the volume per product has not quite reached a level that justifies the purchase of dedicated equipment.
Products that are batch produced are sometimes accumulated until a sizeable amount can be processed simultaneously.
The flow of work also tends to be smoother since many processes can be repeated as often as necessary.
However, the work-in-process still moves around the facility in a somewhat jumbled fashion known as disconnected or intermittent flow.
Examples include offices that process orders in batches and some operations within hospitals.
3 โ Assembly line
The assembly line stage caters to high product demand and, along with the fourth stage below, is a form of mass production.
Workers perform the same operations for each production run, and all outputs are mostly the same.
The assembly line may be characterized by automation, specialized or robotic equipment, and conveyor belts connecting the various plant infrastructure โ as explored in the economics of AI compute infrastructure โ pieces.
With fixed inputs and outputs, constant throughput time, and a relatively continuous flow of work, managers have a wider span of control since fewer workers are required.
While standardization increases process efficiency and makes it easier to manage, there is almost zero variety or flexibility in the goods produced.
4 โ Continuous
The continuous stage is characterized by a very high volume of commodity products and high standardization, which can be a competitive advantage.
Items tend to move from one part of the process to the next with little human intervention.
Since continuous processes are capital intensive, product demand must be matched.
Starting or stopping the process can also be expensive โ sometimes prohibitively so.
To spread out the cost of operations and benefit from economies of scale, most businesses run operations 24/7.
Examples of industries utilizing this process include chemicals, electricity, petroleum, paper, and timber.
Continuous processes are also prevalent in commoditized food products such as milk, wheat, flour, and sugar.
Key takeaways
The product-process matrix (PPM) is a tool for assessing the relationship between the product and process lifecycle.
The product-process matrix contains sixteen cells, with manufacturing phases of the product lifecycle occupying the four columns and various processes in the process lifecycle occupying the four rows.
Most organizations reside on a diagonal line in the PPM matrix since product and process choices tend to align with one another. Along this line are four stages which explain how a production process evolves to become more automated, more standardised, and less flexible.
Key Highlights
Purpose of the Matrix: The Product-Process Matrix helps organizations better understand their manufacturing operations’ strategic options by considering the alignment between the product and process life cycles.
Strategic Planning and Competitive Advantage: Incorporating knowledge of how product and process life cycles interact can lead to improved organizational competence and the establishment of a competitive advantage.
Involvement of Manufacturing Staff: The matrix can involve manufacturing staff in decision-making and continuous improvement initiatives that they might not otherwise be part of.
Root Cause Analysis and Bottleneck Identification: The matrix can serve as a precursor to root cause analysis and help identify process bottlenecks.
Matrix Structure: The matrix consists of sixteen cells categorized into four columns representing the stages of the product life cycle and four rows representing the stages of the process life cycle.
Product Development Process Columns: The columns represent different manufacturing phases, from low volume, one-of-a-kind products to very high volume commodity products.
Process Lifecycle Rows: The rows describe different types of processes, including jumbled flow, disconnected line flow, connected line flow, and continuous flow.
Four Stages of the Matrix: There are four stages that fall along the diagonal line drawn across the matrix, each with its unique characteristics:
Job Shop: Customized, low-volume products requiring craftsmanship and customer interaction.
Batch: Batch-produced products with somewhat smoother flow compared to job shops.
Assembly Line: High product demand with standardized, automated processes and less variety in products.
Continuous: Very high volume, highly standardized products with continuous, automated processes.
Evolution of Production Processes: As businesses progress along the diagonal line of the matrix, their production processes become more automated, standardized, and efficient.
Mass Customization
Description– A business strategy that combines the low cost of mass production with the flexibility of customization to meet individual customer needs. Mass Customization leverages technology and flexible processes to produce customized products at scale.
When to Apply– When aiming to satisfy diverse customer preferences and requirements while achieving economies of scale in production effectively. – Implementing Mass Customization to leverage technology and flexible processes for producing customized products at scale.
Just-In-Time (JIT)
Description– A production strategy aimed at minimizing inventory levels and production lead times by producing goods only as needed. Just-In-Time (JIT) emphasizes waste reduction, continuous improvement, and close coordination with suppliers.
When to Apply– When seeking to reduce inventory holding costs, minimize production lead times, and improve operational efficiency effectively. – Implementing Just-In-Time (JIT) to streamline production processes, minimize waste, and improve responsiveness to customer demand.
Total Quality Management (TQM)
Description– A management philosophy focused on continuous improvement, customer satisfaction, and employee involvement in all aspects of the organization. Total Quality Management (TQM) emphasizes the importance of quality at every stage of the production process.
When to Apply– When aiming to improve product quality, customer satisfaction, and organizational performance through continuous improvement and employee involvement effectively. – Implementing Total Quality Management (TQM) to foster a culture of quality, customer focus, and continuous improvement.
Lean Manufacturing
Description– A production methodology aimed at maximizing value and minimizing waste in manufacturing processes. Lean Manufacturing principles include identifying and eliminating non-value-added activities, improving flow, and empowering employees.
When to Apply– When seeking to improve efficiency, reduce waste, and enhance value in manufacturing processes effectively. – Implementing Lean Manufacturing principles to streamline operations, improve productivity, and increase competitiveness.
Six Sigma
Description– A data-driven approach to process improvement aimed at reducing defects, variation, and waste to achieve near-perfect quality. Six Sigma methodology involves Define, Measure, Analyze, Improve, and Control (DMAIC) phases to identify and eliminate causes of defects systematically.
When to Apply– When aiming to achieve significant quality improvements, reduce defects, and optimize processes effectively. – Implementing Six Sigma methodology to systematically identify and eliminate causes of defects and variation.
Kaizen
Description– A Japanese term for continuous improvement, emphasizing small, incremental changes made by employees at all levels of the organization. Kaizen fosters a culture of continuous learning, problem-solving, and innovation.
When to Apply– When seeking to drive continuous improvement, empower employees, and cultivate a culture of innovation effectively. – Implementing Kaizen principles to encourage small, incremental changes and continuous learning throughout the organization.
Agile Manufacturing
Description– A production approach that emphasizes flexibility, responsiveness, and rapid adaptation to changing customer demands and market conditions. Agile Manufacturing enables organizations to quickly adjust production processes and product designs based on real-time feedback.
When to Apply– When facing rapidly changing customer demands, market conditions, or technological advancements and needing to adapt production processes and product designs quickly and efficiently. – Implementing Agile Manufacturing principles to enhance flexibility, responsiveness, and adaptability in manufacturing operations.
Theory of Constraints (TOC)
Description– A management philosophy focused on identifying and alleviating bottlenecks or constraints that limit organizational performance. Theory of Constraints (TOC) emphasizes the importance of optimizing the flow of work through the system.
When to Apply– When facing bottlenecks or constraints that limit organizational performance and seeking to optimize flow and improve throughput effectively. – Applying Theory of Constraints (TOC) principles to identify and alleviate constraints and improve overall system performance.
Value Stream Mapping (VSM)
Description– A visual tool used to analyze, document, and improve the flow of materials and information required to bring a product or service to customers. Value Stream Mapping (VSM) identifies waste, inefficiencies, and opportunities for improvement in production processes.
When to Apply– When seeking to identify and eliminate waste, inefficiencies, and bottlenecks in production processes effectively. – Using Value Stream Mapping (VSM) to analyze, document, and improve the flow of materials and information in production processes.
Cellular Manufacturing
Description– A production approach that organizes machines and workstations into cells, allowing for the continuous flow of materials and reduced setup times. Cellular Manufacturing promotes flexibility, efficiency, and teamwork within production processes.
When to Apply– When aiming to enhance flexibility, efficiency, and teamwork in manufacturing processes by organizing machines and workstations into cells effectively. – Implementing Cellular Manufacturing principles to promote continuous flow, reduce setup times, and improve overall productivity.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
