Vector Analytics builds Predictive Maintenance (PdM) models, Manufacturing Intelligence (MI) solutions, and IIoT applications that empower our clients' engineers and technicians with data driven decision making on the production floor. We prioritize our clients' most significant OEE detractors and use an agile MI development process that results in frequent delivery of impactful solutions
Phrases like "digital transformation", "smart factory", "Industry 4.0", and even "Industrial IoT" are sometimes used with no clear objectives in mind. Vector Analytics uses more specific terms: we build predictive models that provide manufacturing intelligence on the production floor. Our models produce real ROI and result in true improvements in OEE. Read how MI and IIoT can expand onshore pharma manufacturing capacity.
Vector Analytics measures a model's performance not just by its accuracy, but by the measurable value it returns to the production environment. And if our client doesn't have the specificity of OEE, downtime, or maintenance reporting to adequately prioritize MI projects or measure model effectiveness, then developing that reporting becomes our first objective.
Vector Analytics works in greenfield and brownfield production environments; and from our experience the greenfield is never as "green" as our client's thought it was. Our core competency is building machine learning models, but if a client needs assistance retrofitting a brownfield line with sensors, Vector Analytics can provide that guidance.
Vector Analytics promotes the use of modern data ecosystems. If a client's data architecture and data standardization is not so well architected or standardized, Vector Analytics can help. We can assist your team by creating data lakes, warehouses, catalogs, and data architecture, standardization, and harmonization guidelines. We will not build, nor let our clients deploy, predictive maintenance models and MI solutions in poorly architected data ecosystems.
Vector Analytics engages with clients over the entire analytics development life cycle, from prototyping, to model development, to production deployment, and finally model monitoring and re-training. And at every stage of the life cycle, we seek to teach and develop your manufacturing intelligence / data science team.