Optimize Your Cold Chain. Reduce Risk. Improve Reliability.
Optimyz℠ helps laboratories and healthcare organizations identify hidden cold chain failures, eliminate temperature-excursion risk, and build sustainable process improvements using Lean Six Sigma methodologies and Akurasense® data.
Why Optimyz
Cold chain failures rarely result from a single event. They occur when people, processes, assets, and workflows operate without visibility or standardization. Optimyz provides a structured approach to uncovering risk, improving performance, and sustaining results.
Key Outcomes
Fewer specimen rejects
Reduced temperature excursions
Improved asset reliability
End-to-end process visibility
Standardized operating procedures
Continuous improvement culture
Cold Chain Process Optimization Services
Optimyz applies the proven DMAIC methodology (Eliminates defects and reduces variation by following five key phases: Define, Measure, Analyze, Improve, and Control) to laboratory cold chain operations, combining process improvement expertise with real-world performance data.
Frequently Asked Questions
What is cold chain monitoring for laboratories?
Cold chain monitoring for laboratories is the real-time tracking of temperature, location, and handling conditions for specimens and reagents as they move from storage and collection sites through transport to analysis at laboratories. Optimyz uses the data collected by Akurasense Platform for temperature across courier totes, coolers, parcel shippers, freezers, vehicles, and workflow so labs can be shown the reliability of their current cold chain and what can be done to improve it to minimize specimen rejection.
How do laboratories reduce specimen rejection from temperature excursions?
Labs reduce specimen rejection by first making the cold chain visible, then fixing the root causes of excursions. Optimyz applies the Lean Six Sigma DMAIC method: it maps the current process, measures real performance with Akurasense data, analyzes failure modes statistically, implements validated asset and procedure changes, and re-measures to confirm the rejection rate has dropped before standardizing the fix.
How does Optimyz support refrigeration compliance and audit readiness?
Lean Six Sigma cold chain optimization applies the DMAIC framework (Define, Measure, Analyze, Improve, Control) to laboratory temperature management. Rather than relying on assumptions, it uses measured operational data to identify where and why the cold chain fails, prioritizes the highest-impact failure modes, and validates improvements statistically so gains are proven and repeatable.
What is Lean Six Sigma cold chain optimization?
Optimyz produces a full digital time & location stamped temperature with chain-of-custody record for every shipment and storage, including time-stamped excursion alerts, responses to alerts and asset trip reports. This documented evidence lets laboratories demonstrate refrigeration compliance to accreditation bodies and defend specimen integrity with data rather than assumptions.
How long does an Optimyz engagement take?
A typical Optimyz engagement runs 6 to 12 months. The Define, Measure, and Analyze phases take roughly two months, the Improve cycle of redesign and re-validation runs two to six months, and the Control phase standardizes the gains and monitors performance for three to six months. Akuratemp manages the full process alongside the lab’s team.
What is the first step to work with Optimyz?
The first step is a no-obligation 30-minute scoping call. Akuratemp maps the lab’s current cold chain, identifies the highest-risk areas, and then scopes a pilot study specific to the lab’s routes, volumes, and asset types. Within weeks the lab has real data on its cold chain performance.