The idea of a highly efficient, cost-effective, intelligent, and streamlined manufacturing process is the ultimate goal for renewable energy equipment manufacturers.
A scenario where you understand exactly which materials are used in each stage of solar panel assembly, battery production, or turbine fabrication. Where you can track components across supply chains, monitor production output in real time, and anticipate shifts in demand driven by projects, tenders, or energy markets.
The way to achieve this is by building a structured production planning approach. This becomes the operational guide for manufacturing renewable energy equipment and delivering it into projects and long-term installations.
When this planning approach is combined with insights captured through a Manufacturing Execution System (MES), businesses gain visibility across production, quality, and performance.
This connection is what enables continuous improvement.
As you’ll see, creating an effective production planning process in renewable manufacturing isn’t about a single transformation. It’s a staged, data-driven approach that builds over time.
The problem that happens all too often…
Many renewable energy manufacturers run into issues when they try to optimise too much, too early, especially after introducing new systems or automation into their production environment.
This creates a dual risk: changing production processes while simultaneously introducing new systems. In complex environments such as solar module assembly, battery systems, or inverter production, too many variables shift at once.
A well-executed MES rollout gives manufacturers the visibility needed to improve production planning after go-live. It’s not about instant transformation, it’s about structured progression.
That’s why it’s critical to approach optimisation in stages.
1.
Get organised BEFORE any project starts.
Information gathering is a critical step before introducing any new production system or planning framework.
Information gathering is a critical step before introducing any new production system or planning framework.
For renewable energy manufacturers, this means having clarity across:
- Production workflows for panels, batteries, or equipment
- Bills of materials for components and assemblies
- Workstation and line capacity
- Resource requirements across manufacturing and project delivery
The data doesn’t need to be perfect, but it must be accurate enough to support planning and initial system design.
Without this baseline, projects get delayed while teams try to piece together information during implementation.
Prepare accurate production data before implementing any new systems.
2.
Start small. Select the most typical product.
The goal at this stage is to establish a working production model and ensure teams are capturing the right operational data.
Rather than starting with complex or one-off builds, such as custom energy systems or large-scale project components, it’s more effective to begin with a standard, repeatable product.
This could be:
- A standard solar panel configuration
- A common battery storage unit
- A repeatable equipment assembly used across multiple projects
Starting with a typical product allows teams to:
- Learn the system
- Validate workflows
- Capture meaningful production data
Once the process is stable, these learnings can be extended across more complex products, project-based builds, and customised configurations.
Start with standard products to build repeatable, scalable workflows.
3.
Focus on gathering metrics and reporting from the workflow.
In renewable energy manufacturing, where margins are influenced by materials, efficiency, and scale, data-driven decision-making is a clear advantage.
Manufacturers should be asking:
- Are production cycle times accurate across lines?
- Are costs aligned with actual material and labour usage?
- Can components be traced across the full production lifecycle?
With renewable technologies becoming more complex and quality expectations increasing, visibility across production is critical.
Early analysis allows teams to confirm that data is accurate while identifying inefficiencies in production, material usage, or workflow design.
Capture and analyse production data to drive continuous improvement.
Reporting is not just about monitoring performance, it’s about improving it. The ability to track, analyse, and refine processes is what separates scalable manufacturers from those constrained by operational blind spots.
4.
Stay on top of your inventory management throughout the project.
If materials such as panels, cells, inverters, or battery components are not tracked correctly, production delays follow.
Supply chain volatility is already a known challenge in solar and renewable manufacturing, with dependencies on specialised materials and global sourcing.
To maintain production flow:
- Inventory movements must be recorded in real time
- Procurement, receiving, and fulfilment must stay aligned
- Stock visibility must extend across warehouses and production sites
Maintain accurate inventory to prevent delays and production disruptions.
Production planning relies entirely on accurate inputs. If inventory data is wrong, production decisions will be wrong.
A connected system ensures that production lines operate based on real availability, not assumptions.
5.
Buffer stages to allow for errors and lag.
Introducing new systems or production methods will naturally introduce delays in the short term.
For renewable manufacturers, especially those balancing production with project delivery, it’s important to allow buffer time while teams adapt.
Running new systems alongside existing processes, where possible, helps validate outputs and reduce disruption.
During this phase:
- Teams learn new workflows
- Data accuracy improves
- Bottlenecks become visible
Lag is part of the process. But over time, as teams become familiar with systems and workflows are refined, performance improves.
Allow buffer time for system adoption and performance optimisation.
The result is a more controlled, predictable manufacturing environment capable of supporting large-scale renewable projects.
A NetSuite Manufacturing Execution System is the way to go, but…
Implementing MES in renewable energy manufacturing is not a quick fix.
The objective is to improve production efficiency, enhance inventory visibility, support demand planning, and reduce waste across manufacturing and project delivery.
Trying to achieve all of this at once increases risk.
A staged, practical approach delivers better outcomes. By building gradually, starting with visibility, then optimisation, manufacturers create a foundation for scalable growth.
