Production Process: Steps, Types, Examples, and How ERP Supports Manufacturing

The production process is the sequence of activities a manufacturer uses to turn raw materials, components, labour, and other resources into finished goods. Usually that means planning demand, getting materials and resources ready, scheduling and doing the work, checking quality, and recording what was made and what it cost.

In this article we will explore the five practical stages of a production process, the main production types, a few examples, and the places where things tend to go wrong. It then covers how ERP software such as Microsoft Dynamics 365 Business Central can pull planning, inventory, production, and costing into one picture. 

Key Takeaways

  • Production Process is a sequence of activities that convert materials and resources into finished goods.

  • Five steps in the Production Process are planning, material and resource preparation, scheduling and execution, quality control, and finished goods and cost management. 

  • Job, batch, mass/repetitive, continuous, and additive production are commonly discussed models, although classifications vary.

  • ERP connects production with inventory, purchasing, sales, finance, and operational data.

What is the Production Process?

A production process is the organized set of steps that converts inputs including materials, labour, equipment, and information into finished goods at a planned cost and quality.

It sits between customer demand and a delivered product, and it covers more than the physical work. Alongside the machining, mixing, or assembly there is a layer of information like bills of materials, schedules, inventory records, inspection results, and cost postings. 

Nevertheless, a lot of production trouble turns out to be trouble in that information layer. A component was ordered in the wrong quantity, or a work order reached the floor with an outdated specification.

What Are the Key Activities in a Production Process?

Whatever the product, most production processes follow roughly this chain:

Demand → Planning → Materials → Resources → Scheduling → Production → Quality → Finished Goods → Cost and Inventory

Demand is what customers have ordered or are expected to. Planning turns it into quantities and dates, materials and resources make those dates achievable, and scheduling decides what runs where. Then comes the work itself, a quality check, finished goods into stock, and finally the cost and inventory records, which feed straight back into the next round of planning. 

What Are the 5 Steps in the Production Process?

Below we discussed the five practical steps:

Step 1: Production Planning

Planning starts with demand including confirmed sales orders, forecasts, and replenishment needs. From those a planner works out how much to make, checks it against capacity, and allows for lead times on purchased materials and in-house operations.

This is where demand planning earns its keep, because everything after it inherits whatever the forecast got wrong. A forecast that's 20% high does not only mean a fifth too much stock. It means you bought material you did not need, ran jobs that could have waited, and pushed back-orders customers were waiting for.

Step 2: Material and Resource Preparation

A plan on paper does not mean much until someone confirms it can be done. Are the raw materials and components there? Does the BOM reflect what's going into the product today? Are the people, machines, and work centres free when the order needs them?

This step is where plenty of runs fail quietly. Say a BOM still lists a fastener the supplier discontinued last spring. The order gets released, operators set up, and then someone discovers the part cannot be had. Nothing is broken, exactly, but the line is waiting and everyone knows it.

Step 3: Production Scheduling and Execution

Production scheduling sets the sequence. Production orders go out, each follows a route (the list of operations and the work or machine centres that perform them), and operators work through it.

It is a trade-off between due dates, material availability, and capacity, and you rarely get all three. Done well, nobody must expedite. Done badly, the plant runs on phone calls, and the job that gets made first is whichever one the loudest person cares about.

Step 4: Quality Control and Monitoring

Inspections happen at set points like incoming material, during the run, at the end. Finding a defect early is the whole game, since every operation after it adds more material and labour to something that may end up as scrap.

Monitoring covers progress too. Supervisors and planners need to know whether an order is on schedule, how much is done, how much was scrapped. Without that, "almost finished" becomes the only status report anyone has.

Step 5: Finished Goods, Inventory, and Costing

When production ends, the output is recorded and finished goods go into inventory. Behind that one event sits a batch of transactions such as components consumed, time spent on each operation, scrap.

Those transactions decide what the product really costs. Finance wants that number, operations want yield and run times, and sales wants to know what can ship. If the postings are late or wrong, all three are working from guesses, and they will each guess differently.

What Are the Types of Production Processes?

Below are the models’ people most often mean. It includes:

Job Production

One-off or low-volume work built to a customer’s specification. Every job gets planned on its own, which makes it flexible and awkward to schedule, since no two orders behave the same way. Custom machinery and fabrication shops work like this.

Batch Production

A defined quantity is made in one run, then the line switches to something else. It balances efficiency with variety, and a lot of food and beverage producers depend on it. Changeovers are what catch people out. Cleaning and setup between batches takes real hours, and they need to be in the schedule.

Mass or Repetitive Production

Same product, or a small family of products, in high volume on a set line. Automotive and appliance assembly are typical. Efficiency is high and flexibility is low, which is why one missing part can idle an entire line.

Continuous Production

Material flows through the process without stopping, as in chemicals, refining, or paper. Changing the product is expensive, so these plants put enormous effort into keeping the process stable.

Additive Production

Better known as 3D printing, additive production builds a part layer by layer from a digital design. It suits prototypes, tooling, and complex low-volume parts, and a design change costs very little compared with retooling.

Note: Production terminology varies by industry. Some manufacturers and sources classify job shop, discrete, repetitive, batch, continuous, and additive manufacturing separately, or group them differently. Plenty of real plants mix models, anyway, running batches for one product line and make-to-order for another.

Production Process Examples

These five look different mostly because the main constraint is different in each.

Food and Beverage

Demand → ingredients → batch production → quality → packaging. 

Food plants mostly run in batches, so planning must juggle ingredient availability, shelf life, and changeovers. Traceability carries extra weight because of food safety. If a recall happens, the plant needs to know within minutes which ingredient lost went into which product, not days.

Machinery

Customer requirement → BOM → components → routing → machining → assembly → testing. 

A machinery builder often starts from a customer spec, so the BOM may be engineered for each order. Routings run long and cross several machine centres, which turns capacity and lead time into the main planning headache. One overloaded machining centre can push out a whole group of orders.

Automotive

Components → assembly → inspection → finished vehicle or component. 

High volume means everything leans on a steady supply of the right parts. A shortage of one small component can stop the line, and the cost of that stop climbs by the minute.

Custom Manufacturing

Customer specification → planning → procurement → production → inspection → delivery. 

Custom manufacturers often buy materials only after an order is confirmed, which puts supplier lead times inside the delivery promise. When purchasing and production are not looking at the same data, sales end up quoting production dates never seen.

What Can Disrupt a Production Process?

Production rarely collapses in one dramatic moment. It wears down through a handful of recurring problems, and each one needs a particular kind of information to deal with.

  • Demand Changes: A forecast moves or a large order gets cancelled, and the plan stops matching reality. Capacity sits idle or the schedule overloads, and stock nobody asked for builds up. Re-planning quickly depends on current sales orders, forecasts, and inventory being in one place. If they're in three, it takes days.

  • Material Shortages: A late shipment, a price change, and an order cannot start, or starts with an incomplete kit. To respond you need to know what's on hand, what's on order and when it lands, and which production orders each component is already promised to. That last piece is easy to miss. Without it, fixing one shortage quietly creates another.

  • Capacity Constraints: When a week's orders add up to more hours than a work centre has, something slips. Plant-wide averages hide it completely, because the plant looks fine while one machine is booked at 140%. Planners need load by work centre, by week.

  • Production Bottlenecks: One slow operation caps everything behind it, and work in process stacks up in front. Often the pile is what people notice first, not the cause. Finding the real bottleneck takes run times and queue times per operation, not a count of finished units.

  • Scheduling Conflicts: The same machine or crew gets booked for two jobs, or a rush order bumps something already underway. A schedule that reflects work centre calendars and true order status shows the clash before the shift starts instead of during it.

  • Quality Problems: Defects found late cost the most, since material and labour are already sunk. Getting ahead of them needs scrap and rework data by operation, items, and lot. One bad week on one machine is easy to wave off until the numbers make the pattern obvious.

How ERP Helps Manage a Production Process

ERP software helps manufacturers connect production planning and execution with inventory, purchasing, sales, warehousing, costing, and financial information.

The value is mostly in having one set of data, and the benefits are small and daily rather than dramatic. Buyers can see which production orders a component is committed to, so they stop ordering against a stale view. Planners can check work centre load before promising a date. Inventory updates as materials are consumed and goods finished, not at month-end, so stock counts stop being an argument. Costs build as work happens, so finance is not reversed engineering them weeks later. And operations and finance report from the same figures, which tends to shorten meetings.

It will not fix process discipline. An ERP records what it is given. If BOMs are inaccurate or inventory transactions are sloppy, you will get confident-looking wrong answers faster than before.

How Microsoft Dynamics 365 Business Central Supports Production

Microsoft's documentation describes manufacturing in Business Central as helping you plan, schedule, execute, and analyze production. Production BOMs define the components, routings define the operations, and work centres and machine centres model capacity and cost. Production orders then coordinate material consumption, operation time, output, and finished goods from planned demand through to completion.

Demand and Supply Planning

Supply planning balances demand and supply for items that are purchased, assembled, manufactured, or transferred between locations. It covers independent demand from sales and forecasts, and the dependent demand of components. Because demand forecasts can feed the plan, suggestions reflect expected demand as well as confirmed orders, which helps when lead times are too long to wait for firm orders.

Production BOMs

A production BOM is the master data defining a manufactured item and its components. When you enter the item on a production order line, the BOM's contents become the order's components, so the order starts with the right parts list. The BOM needs to be certified before it can be used on a production order, which works as a useful control: someone must sign off before a changed recipe reaches the floor.

Business Central also has assembly BOMs for simpler assembly work, which can be tied directly to sales orders. Production orders are for more complex processes involving routings and work or machine centres.

Routing and Work and Machine Centres

If the BOM says what goes into the product, the routing says how it's made. It lists the operations and the resources that perform them, and work and machine centresrepresent production capacity along with its cost. Together they let the system work out how much capacity an order needs and where the load lands, which is what a planner needs before promising a date.

Production Orders

A production order carries the item and quantity, the dates, the components from the BOM, the routing, and the capacity it will use. Orders move through statuses, from simulated and planned to firm be planned, released, and finished, and floor work starts once an order is released. They can be created manually, from sales orders, or through planning. That status flow draws a clear line between "we intend to make this "and" the floor is making this now."

Production Execution

As work happens, someone records consumption, output, scrap, and operation time. Microsoft's documentation describes doing this manually in production journals or automating part of the posting through flushing methods and warehouse activities. The Production Journal combines consumption and output for one released order, and batch journals handle several at once. Operations can be subcontracted, and wrong transactions can be reversed and corrected, which is handy because mistakes on the floor are normal.

Production Costing and Analysis

Business Central can calculate and adjust the cost of finished production items and the components consumed, which supports financial reconciliation. Finance and operations end up working from the same numbers. For analysis, Microsoft offers a Power BI Manufacturing app for monitoring manufacturing KPIs.

Note: Microsoft states that the manufacturing features are available only with the Premium experience of Business Central. That affects licensing, so it is better to know before a budget gets approved.

A Real-World Example: Improving Operational Visibility in an Ontario Manufacturer

Dynamics Square Canada worked with a manufacturer in Brampton, Ontario that makes advanced membranes for waterproofing and flooring and sells to distributors and contractors across North America. The company handles hundreds of SKUs and has expanded its distribution footprint and product lines.

The trouble was with data. Store-level sales across Canada and the United States were logged in separate spreadsheets, follow-ups with distributors depended on manual reminders, and leadership did not have timely reporting on product performance or order trends. Dynamics Square implemented Dynamics 365 Sales in two phases with Power BI dashboards. The work centralized leads and opportunities, set up product catalogues and pricing, enabled weekly sales logging by location, and automated follow-ups and reminders.

To be clear about scope, this was a sales and CRM project, not a production or Business Central implementation. It is here because the underlying problem is one production teams know well. When data lives in disconnected spreadsheets, people decide from outdated snapshots and chasing the latest version becomes part of the job. One reliable source change how fast a team can act.

Read the full case study: https://www.dynamicssquare.ca/case-studies/dynamics-365-sales-and-power-bi-implementation/

Business Central Implementation for Canadian Manufacturers

For a Canadian manufacturer, Business Central implementation should begin with understanding the existing production process, not with configuring software.

The usual path runs from discovery to process mapping, configuration, data migration, testing, training, go-live, and support. The first two stages are where production details come out: how orders really get scheduled, where scrap is recorded, and which workarounds people have built. Configuration then reflects reality and not a generic template. Skip that and you tend to automate the plant's workarounds instead of fixing them.

Canadian specifics belong in scope from the start. Tax setup for GST/HST and provincial taxes, multi-currency handling if you sell into the United States, and reporting finance can reconcile are all easier to get right early than to retrofit.

Dynamics Square Canada supports manufacturers across Ontario, including the Greater Toronto Area, from its office in Thornhill, just north of Toronto, and has a British Columbia office in Vancouver. Proximity helps most in discovery, where sitting with the production team and walking the floor surfaces details a remote workshop can miss. You can read more about the approach on the Dynamics Square Canada Business Central implementation page.

Talk to Dynamics Square Canada via call at +1 778 381 5388 or drop an email at info@dynamicssquare.ca about Business Central implementation, manufacturing consulting, migration, training, or support.

Frequently Asked Questions

Lean manufacturing is a methodology for removing waste from production, such as waiting, excess inventory, defects, overproduction, and unnecessary movement, while improving continuously. It's a way of working, not a software system.

Process manufacturing makes products by combining or transforming ingredients according to a formula or recipe, usually in batches or continuous flow. Food and beverages, chemicals, and pharmaceuticals are common examples, and yield and traceability are central concerns.

Darshan Mungekar - Author
Darshan Mungekar

Darshan Mungekar is a Principal Solution Architect with 20+ years of experience in Microsoft Dynamics 365 solution consulting and enterprise business applications. He has guided organizations across wholesale and distribution, manufacturing, retail, professional services, and other industries through ERP and digital transformation initiatives. His expertise spans Microsoft ERP and CRM solutions, including Business Central, Finance & Operations, and related business applications. Darshan specializes in solution architecture, business process optimization, system integration, and designing fit-for-purpose solutions that connect technology with operational and strategic business goals. He holds PMP (Project Management Professional) and Six Sigma Green Belt certifications, bringing a strong combination of enterprise solution expertise, project delivery, and continuous improvement.

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