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Inquiry on Implementing IFS MSO/PSO in CAMRO and CRO Workspaces

  • February 23, 2026
  • 1 reply
  • 20 views
G
Sidekick (Customer)
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We are currently researching the application of IFS Manufacturing Scheduling Optimization (MSO) within the CAMRO and CRO workspaces, as we operate as a CAMRO and CRO service provider using IFS.

We would appreciate insights from:

  • CAMRO organizations that have already implemented IFS MSO in a CAMRO or CRO environment

  • IFS Consultants who have experience implementing the MSO solution within the MRO/CRO domain

Specifically, we would like to understand:

  • The key challenges faced during implementation

  • The level of customization required to align MSO with CAMRO/CRO operational processes

  • Any lessons learned or best practices that could help ensure a smoother implementation

Your feedback and shared experiences would be highly valuable as we evaluate the feasibility and approach for introducing MSO into our CAMRO/CRO operations.

Thank you in advance for your support.

Best regards,

1 reply

Yathartha Karunananda
Hero (Employee)
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Hi ​@GTERANA,

I have not been directly involved in a MSO implementation, but I have supported multiple customers in resolving MSO-related issues.

From my experience, several recurring challenges arise when applying MSO in CAMRO/CRO workspaces.

First, achieving optimal scheduling results is not immediate. MSO is highly data-driven, and the quality of the input dataset significantly impacts the output. In many initial rollouts, customers experience a high number of unscheduled operations. This is often not a system defect, but rather a data maturity issue. It is essential to carefully analyze the dataset - including work centers, calendars, resources, HR schedules and cleanse or restructure the data to establish a high-quality input baseline before expecting optimized outcomes.

Once the dataset is stabilized, attention should shift to MSO configuration fundamentals and iterative fine-tuning. This is not a one-step configuration exercise; it requires structured testing cycles, parameter adjustments, and validation against real operational scenarios. Patience is critical during this phase.

Another important point is that there are no universally “best” MSO parameter settings. MSO behavior is highly dependent on operational patterns, constraint logic, and data structures unique to each organization. Therefore, controlled testing, scenario simulation, and gradual optimization are necessary to determine the parameter combinations that best support your CAMRO/CRO operational model.

 

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