Ceramic Crossflow Filter System + Ion Exchange Trial

Reduced operating expense by approximately $229K per year by eliminating consumables and extending CIP intervals.

Project scope and individual work packages are presented separately; project totals are not additive to their component values.

11 detail rows; 12,159 K project-family value.

• Project Ownership

  Full lifecycle project ownership

  Owned the full project lifecycle: capital planning and prioritization, need definition, feasibility and scope development, engineering and AFE justification, procurement and vendor coordination, construction sequencing and field oversight, commissioning, turnover, and post-startup support. Connected operating requirements with technical scope, funding decisions, execution readiness, and the needs of operations and maintenance.

• R&D Team

  Project Team Contribution

  Team Contribution

  R&D provided the resin-screening recommendation used to frame a manufacturer pilot.

• Filtration Supplier

  Project Reference Context

  Reference Context

  Filtration supplier's 2018 membrane test supplied a separate laboratory baseline for the ceramic-filtration decision.

Owned the full project lifecycle: capital planning and prioritization, need definition, feasibility and scope development, engineering and AFE justification, procurement and vendor coordination, construction sequencing and field oversight, commissioning, turnover, and post-startup support. Connected operating requirements with technical scope, funding decisions, execution readiness, and the needs of operations and maintenance.

Compared filtration options against demand and lifecycle requirements, integrated CIP and instrumentation with dedicated electrical feeds, and developed clean-water-flux tracking and maintenance follow-up. Ion-exchange testing extended the investigation into product clarity and quality, while modular expansion planning connected the equipment choice with future operating demand.

• Assess Statistical Confidence and Sample AdequacyApplication relevance
  Why these connect

  Is the measured difference meaningful given variation, sampling and instrument limits? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Control Nuisance Variation in ExperimentsApplication relevance
  Why these connect

  Which factors affect the response and are the model assumptions defensible? Blocking and nuisance-variable control are methodological applications; a completed Latin-square design is not asserted.

• Design Experiments to Compare Process FactorsApplication relevance
  Why these connect

  Which factors affect the response and are the model assumptions defensible? Experimental-design relevance does not assert that a factorial or ANOVA study was completed on every linked project.

• Develop Design Bases and Option StudiesApplication relevance
  Why these connect

  Can the design decision be traced from need and alternatives to a controlled execution basis? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Interpret Factor Significance and Experimental VariationApplication relevance
  Why these connect

  Which factors affect the response and are the model assumptions defensible? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Maintain Experiment and Technical-Decision TraceabilityApplication relevance
  Why these connect

  Which formulation factors change functionality and manufacturing compatibility? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Plan Sampling and Supplier-Quality DecisionsApplication relevance
  Why these connect

  Is the measured difference meaningful given variation, sampling and instrument limits? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Screen Factors and Plan Confirmation TrialsApplication relevance
  Why these connect

  Which factors affect the response and are the model assumptions defensible? Factor screening is relevant to these trials; a completed fractional-factorial experiment is not asserted.

• Track Evidence Gaps and Retrieval ControlsApplication relevance
  Why these connect

  Can each technical statement and transformation be traced to its controlling record? This connection identifies where the capability can support the recorded work; it does not add a completed test or result.

• Ceramic Filtration, Membranes, and Polishing — Application ReviewCapability application review
• CIP Engineering and Cleaning-Sequence Control — Application ReviewCapability application review
• DOE, Regression, and Empirical Statistical Modeling — Application ReviewCapability application review
• Evidence Governance, Provenance, and Configuration Control — Application ReviewCapability application review
• Experiment Design and Factor ScreeningAnalytical decision brief
• Lifecycle Artifacts: Front-End and Design — Application ReviewCapability application review
• Pilots, Trials, and Production-Scale Evaluation — Application ReviewCapability application review
• Process Baselines, Variation and CapabilityAnalytical decision brief
• Product Applications, Formulation, and R&D — Application ReviewCapability application review
• Risk, Uncertainty, and Decision Support — Application ReviewCapability application review
• Sampling and Supplier-Quality ReviewAnalytical decision brief
• Statistical Quality, Measurement Systems, and Sampling — Application ReviewCapability application review