Scheduling and capacity planning in QC laboratories are challenging and complex. That growing complexity is, more and more, a hurdle that keeps organizations from fully optimizing their lab operations. Binocs, instead, embraces that complexity and optimizes QC laboratory efficiency in 6 ways:
One integrated planning
Lab scheduling still heavily relies on the supervisor’s knowledge and experience to manage the schedule of his/her team. As supervisors are often using (disintegrated) excel documents, it’s difficult to keep oversight.
With Binocs, all your data is in one place. See it as a network of information that Binocs can automatically navigate (even when your best planner is on holiday). It relies on the same information model to intelligently support organizations, from short-term scheduling to long term decision making.
… covering all labs including outsourcing
Labs are often silos, and each silo has its own schedule. It’s challenging to organize resource exchange between labs cost-effectively.
Binocs connects different labs and departments within your organization. Hence it’s easy to see: where do I have a lack of resources, and where do I have an excess of resources? Based on that information, you can share team members and equipment with other teams. By connecting the different labs, Binocs applies smart FIFO: aligning scheduling between labs to optimize the service level of the entire release.
Ways to increase efficiency of the QC labs:
Optimize trade-off between efficiency and service level
Labs want two things: execute samples with as little resources as possible (efficiency) while making sure samples are executed without delay (planning adherence). Planners need to make that trade-off constantly. However, still too often, what to prioritize depends on the planner’s interpretation. In short, there is too little consistency in what to prioritize when.
- If stability samples are nearing the max pull date, Binocs understands their priority should increase (triggering a campaign right now).
- If you have low priority samples, low priority project work, for example, Binocs should prioritize efficiency: delay these samples and campaign them with the ones coming in next week.
Save time with automated scheduling
Making a schedule is time-consuming because there are a lot of variables that need to be taken into account: team member & equipment availabilities, competences, priorities, due dates, …
Binocs automates the most time-consuming part (puzzling everything together) and, in a click of a button, proposes a schedule. The planner can use his/her time to fine-tune further and optimize. Three cool things about the scheduling algorithm:
- Binocs takes into account the priority of samples and slack of demand (earliest due date first) to decide what to schedule first. This optimizes on-time delivery.
- Execution constraints, team member constraints, equipment constraints, team member preferences, team member competencies… can be easily defined & are taken into account automatically.
- You can update the schedule automatically multiple times a day. Each analyst sees what has changed in their own schedule.
No double data entry – a step towards zero input!
Let’s face it: scheduling often involves a lot of different systems, data sources, excel documents… And unfortunately, more often than not, these systems are unable to communicate. Needless to say that this is inefficient, too rigid, and time-consuming (double data entry).
The philosophy at Binocs is moving from double data entry to ZERO data entry! Binocs offers automatic interfacing with LIMS, LES, ERP, … For example:
- Binocs can capture demand from ERP (for example goods received)
- Received samples from LIMS are sent to Binocs
- But also: Binocs can cover the demand which is not in LIMS (for example project work).
Look into the future with forwarding looking KPIs
Most QC KPIs show past performance: what was our on-time delivery, what was our throughput, what was our turn-around,…
In Binocs, KPIs also show what’s ahead of you. What will be our on-time delivery? What will be our throughput? What will be our turn-around? In short, it supports your decision making on both sides of the fence: what do we know about the past (backward-looking)? And what do we expect in the future (forward-looking)?