From Backlog
to Breakthrough.

Plans that survive contact with reality. In most process plants, the schedule the planner builds on Monday is broken by Tuesday — a delayed material, a quality hold, an unplanned breakdown, a rush order. Today, planners and supervisors absorb the disruption with phone calls, whiteboards, and overtime. Bodhee replaces that firefighting with a schedule that re-adapts in minutes against the same constraints a human would apply, and shows the planner why.

Yes. Bodhee orchestrates above MES and below planning. It consumes orders and master data from ERP (typically SAP S/4HANA or ECC, Oracle, or any other ERP), live execution events from MES and historian, quality results from LIMS, and asset events from CMMS. It then pushes back a feasible, optimised, re-adapting schedule that MES executes and ERP confirms.

APS (Advanced Planning & Scheduling) is built to optimise a plan once — typically weekly — against a snapshot of demand and capacity. Adaptive Scheduling is built to re-plan continuously against the live state of the plant. APS answers "what is the best plan for next week?"; Adaptive Scheduling answers "given everything that has changed in the last hour, what is the best plan for the next 24 hours, and which orders are now at risk?"

The Process Digital Twin (PDT) is the live representation of your plant that Bodhee reasons against — products, recipes, asset, materials, labour, quality holds, and the constraints that connect them. It is not a 3D model; it is a decision model. Every Bodhee recommendation traces back to a specific state of the PDT, which means every recommendation is explainable.

Both, plus the production batches awaiting release. Bodhee Quality Control Scheduling plans sample arrival, test execution, analyst allocation, instrument capacity, and release sequencing for batches blocked by pending results. It treats the lab as a constrained shop floor — because that is what it is.

By pulling three levers at once:

• Priority sequencing — release-blocking and deadline-critical samples are sequenced first.
• Equipment-level optimisation — the sample mix on each instrument is optimised against sample arrival times, required-by dates, and instrument capacity.
• Lab–production coordination — the lab schedule is aligned with the production release plan, so finished batches are not waiting on tests that could have run earlier.

The scheduler knows which finished batches are blocked, by which test, on which instrument, and by which analyst — and sequences accordingly. The visible outcomes are shorter lab turnaround time and fewer batches waiting on release.

Yes — with major LIMS vendors including LabWare, STARLIMS, and LabVantage. Bodhee Quality Control Scheduling reads sample registration and test status from the LIMS. Custom LIMS deployments are supported through the standard integration adapter. Writing the test schedule back from Bodhee into LIMS is technically feasible, but the recommended approach is to use Bodhee's data exports / API connectivity to integrate into LIMS outside the Bodhee environment.

As constrained queues alongside release testing, with their own priority and pull-date logic. The scheduler respects pull-date windows for stability protocols and ensures regulated tests are not starved by higher-volume release tests.

Yes. Each discipline is modelled as a distinct resource pool with its own instruments, analysts, certifications, and SOPs. A single deployment can manage a microbiology lab, a chemistry lab, and a physical-testing lab on different floors or sites under one schedule.

Customer outcomes show consistent reductions in sample backlog and lab turnaround time. Named results are published in the case-study library. Reference customers are made available after qualification stage.

Yes. The scheduler schedules around analyst skill, certification, shift, and current workload. Senior analysts are not over-allocated to routine work, and certifications are honoured automatically. Using the Bodhee side-task functionality, the lab can keep a buffer of pre-planned work (for example, a daily 9 AM status call or ad-hoc training for an analyst) ready to slot into analyst downtime without needing a new approval or re-prioritisation.

No. APS systems plan at weekly / monthly cadence against forecast and capacity assumptions. Bodhee adapts at daily / shift cadence against live plant state. They are complementary: APS sets the boundary conditions and the production targets; Bodhee adapts the schedule inside those boundaries as the plant runs.

Bodhee Quality Control Scheduling is LIMS-vendor-agnostic by design. Data exchange uses the integration pattern the customer's LIMS already supports — REST, SOAP, file import / export, or direct database read — through Bodhee-managed connectors. The scheduler reads sample registration and test status from the LIMS (and ERP for raw-material goods receipts).