Des histoires venues de l&#x27;atelier.

A multi-line API site running commercial and CDMO production on shared equipment, at a major European pharma manufacturerÉtude de cas

A shared-equipment API site freed enough capacity for five extra CDMO batches a year

A major European pharma manufacturer ran commercial and CDMO production on shared equipment, planned in Excel. Bodhee Production Scheduling, deployed as a Control Tower, cut commercial lead time 2.5% and freed capacity for five extra CDMO batches a year.

A multi-line API manufacturing site of a major European API manufacturerÉtude de cas

Scheduling people, not FTEs: a multi-line API site's path to 20% capacity unlock

A multi-line API manufacturing site moved from static Excel scheduling to operator-level allocation on Bodhee — naming the operator, honouring per-shift compliance limits, and using the same model to surface a 20% capacity unlock via what-if scenarios.

Nataraj SOORKOD6 min de lecture

The 30% Problem

Cleaning, changeover, validation, and QC hold consume roughly a third of staffed time. Most schedulers treat them as fixed buffers — or don't model them at all. Here's what it costs.

3:00

Bodhee Production Scheduler

Bodhee Production Scheduler generates feasible, executable schedules from your master data, ERP feeds, and shop-floor constraints — and reschedules in real time as conditions change.

Visite produit3:00

Editorial illustration of three parallel rows of schedule blocks with a red conflict marker

Nataraj SOORKOD8 min de lecture

The silo tax — a manufacturing-economics argument for cross-functional scheduling

Production plans the line. QC plans the lab. Maintenance plans the equipment. Each plan is rational. The collision between them costs capacity that nobody invoices, nobody books, and nobody owns. That cost has a name.

Neewee's Value-Based Collaborative Company Culture

2:19

Neewee's Value-Based Collaborative Company Culture

Co-founder and CEO Harsimrat Bhasin walks through the three values that define how Neewee works — empathy for the customer, the best-idea-wins ethos, and full transparency.

Événement2:19

1:23

Neewee's Tree of Wisdom

A short film about the Tree of Wisdom — a symbol Neewee built to honour the alumni and current 'NeeBees' who shaped the company's growth journey.

Événement1:23

2:04

Neewee Culture

A short look inside Neewee — the people, the values, and the way we work to ship Adaptive Scheduling solutions for manufacturing on time, every time.

Événement2:04

Meet Bodhee — Integrated, Simple, Shop-Floor-Delivered Scheduling Solutions

4:02

Meet Bodhee — Integrated, Simple, Shop-Floor-Delivered Scheduling Solutions

An overview of Bodhee — a Manufacturing Scheduling solution powered by a Process Digital Twin that pulls data from ERP, MES, SCADA, and OT systems to deliver shop-floor-ready actions across yield, quality, productivity, and cycle time.

Explication4:02

Nataraj SOORKOD7 min de lecture

Master data drift — the quiet killer of every scheduling rollout

The day you go live is the day your scheduling model starts decaying. Routings move, BOMs change, equipment swaps in. Nobody tells the planner. Six months later the schedule looks fine and runs nothing like the plant.

Stylized illustration: a production schedule splintering into fragments by mid-morning, representing how a static daily plan loses fidelity within hours of execution

Nataraj SOORKOD6 min de lecture

Your schedule is already wrong by 9 a.m.

A static production schedule stops being a plan the moment reality starts moving. Two hours in, you're inside the variance the plan didn't allow for. The fix isn't a faster rebuild — it's a different architecture.

10–15

A multi-building API manufacturing site of a major European API manufacturerÉtude de cas

10–15% Equipment Utilisation Uplift: rebuilding production scheduling at a major European API manufacturer

A European API manufacturer retired its in-house planner for Bodhee Production Scheduling — lifting equipment utilisation 10–15% and productivity 8–10% once shelf-life, lockstep, and cross-building dependencies entered the model.

Productivity recovered across multiple APUs at a large-scale European API plant

8–12