An APS pilot and a full APS implementation serve different purposes: a pilot is a short, focused proof of concept designed to verify that the system can handle your real constraints and data, while a full implementation is the complete production deployment across your planning environment. The pilot typically runs four to six weeks; a full implementation spans several months. For most manufacturing companies, the pilot comes first and creates the evidence base that justifies and shapes the rollout that follows.
What does an APS pilot actually involve?
An APS pilot is a time-boxed proof of concept in which the advanced planning and scheduling system is configured using your actual data, operating rules, and constraints, and then tested against a small set of realistic planning scenarios. The goal is not to build a complete model. The goal is to answer one question: does this system work in our environment?
The scenarios chosen for the pilot should reflect the situations where your current planning approach struggles most. That usually means testing what happens when a rush order arrives and needs to be inserted without breaking existing commitments, when bottleneck capacity shifts and delivery dates need to be re-evaluated, or when a material shortage forces a resequencing of the schedule. These are the moments where spreadsheet-based planning tends to break down, and they are exactly where an APS system should demonstrate clear value.
A well-run pilot also produces a practical readiness assessment. It will surface gaps in master data or planning parameters that would otherwise only emerge during a full rollout, which is one of the most valuable outcomes of the exercise. Identifying those gaps early means they can be corrected before production deployment, reducing risk and compressing the implementation timeline.
How does a full APS implementation differ in scope and scale?
A full APS implementation goes beyond proving the concept. It means deploying the production planning system across your actual operations, integrating it with your ERP and other data sources, training your planning team, and establishing the processes and governance needed for ongoing use. Where the pilot tests a handful of scenarios, the full implementation must handle the complete complexity of your day-to-day planning environment.
The scope difference is significant in several ways. During a pilot, data integration can be partial and manually assisted. In a full implementation, the data flow between your ERP and the APS system must be reliable, automated, and continuously maintained. Similarly, the user base expands from a small pilot group to everyone involved in production planning, purchasing, and often customer-facing scheduling decisions.
The full implementation also requires change management work that a pilot does not. Planners need to shift from existing habits and tools to a new way of working. Supervisors and cross-functional teams need to trust and act on the schedules the system produces. That adoption process takes time and deliberate effort, and it is one of the reasons a well-run pilot is so valuable: it builds familiarity and confidence before the stakes are higher.
How long does each stage typically take?
An APS pilot typically takes four to six weeks to complete. A full APS implementation, depending on the complexity of the production environment and the readiness of the underlying data, generally runs from a few months to around six months for the core deployment, with ongoing refinement continuing beyond that.
The pilot timeline is deliberately short. Keeping it to four to six weeks forces the team to stay focused on the agreed scenarios rather than expanding scope or chasing edge cases. If a pilot stretches significantly beyond this window, it is usually a sign that the scope has grown or that data readiness issues are consuming more time than expected.
The full implementation timeline depends heavily on what the pilot revealed. When the pilot has already verified data readiness, confirmed integration requirements, and clarified the planning model, the implementation phase moves faster and with fewer surprises. In practice, the pilot functions as a design phase for the rollout: it defines scope, confirms priorities, and creates a practical roadmap. Companies that skip the pilot often spend the early months of their implementation doing the discovery work that a pilot would have completed in weeks.
What are the success criteria for an APS pilot?
A successful APS pilot demonstrates that the system can handle your critical planning scenarios with acceptable speed, clarity, and usability, and that your data is sufficient to support a production deployment. By the end of the pilot, you should be able to state clearly what requirements are already met, what gaps remain, and what data or integration work is needed before a full rollout.
A few practical indicators provide a strong early signal of pilot success:
- Planning responsiveness: How quickly can planners create, adjust, and compare schedules compared to current practice?
- Usability and adoption: Can planners perform key tasks and explain the resulting plan to stakeholders without constant specialist support?
- Data and integration readiness: What data gaps became visible, and how quickly could they be corrected during the pilot?
- Transparency and communication: Are constraints, bottlenecks, and change impacts visible enough to support decisions across production, purchasing, and customer service?
- Supplier delivery quality: How clearly and quickly did the implementation partner communicate, iterate, and recommend next steps?
One framing worth keeping in mind: the key outcome of a pilot is not a perfect planning model. It is confidence. A clear understanding of what the system can do in your specific environment, what it will take to implement fully, and whether the partnership with the solution provider is working well.
When should a company move from pilot to full implementation?
A company is ready to move from an APS pilot to full implementation when the pilot scenarios have been validated, data readiness has been confirmed or a clear remediation plan is in place, and the planning team has enough confidence in the system to commit to using it in production. The decision should be based on evidence from the pilot, not on a timeline or a commercial deadline.
The clearest signal to proceed is when planners can answer yes to three questions: Does the system handle our critical situations in a way we trust? Do we understand what data and integration work remains? And can we explain the plan clearly enough that production and other teams will act on it?
If the pilot revealed significant data gaps, those should be addressed before moving forward rather than carried into the full rollout. Proceeding with known data quality problems is one of the most common reasons APS implementations run into difficulty after go-live. The pilot exists precisely to surface these issues at a stage when they are still easy to fix.
With Delfoi Planner advanced production planning software, we approach this transition by treating the pilot and the full implementation as a continuous process rather than two separate projects. The model built during the pilot becomes the foundation for the production deployment, and the scenarios validated during the pilot become the acceptance criteria for the rollout. That continuity reduces duplication of effort and means the planning team is already familiar with the system by the time it goes live. Contact us to discuss your planning needs and find out how we can support your pilot and rollout.
