Production Planning is the solution designed by ITE Consult to have your entire
production plan optimized to the smallest detail, even during your S&OP consensus
Our solution allows you to
while avoiding stock-outs and inventory costs, throughout the production process.
Material requirements planning (MRP) is a production planning, scheduling,
and inventory control system used to manage manufacturing processes.
Most MRP systems are very complex to implement and very difficult to run, so
users end up conducting their MRP manually in Excel.
An MRP system is intended to meet three objectives:
Ensure materials are available
for production & products are
ready to ship to customers
Maintain the lowest
possible material &
product inventory levels
Plan manufacturing activities,
deliver detailed schedules
and purchasing activities
Ideally, it addresses operational planning in units, financial planning, and has a
simulation capability to answer “what-if” questions.
Our value proposition →
Based on our BPC Production planning model, calculate your production and purchase plan for 12/18
rolling months, based on S&OP demand plan, initial inventory, open purchase orders, safety stock,
minimum production and purchasing batches, and manage the detailed scheduling for production
and purchase plan for the next 8 to 12 weeks.
We help you implement a platform to run MRP and calculate your production and purchase plan in
a fraction of the time, and still have the flexibility to run multiple scenarios and be fully integrated with
your S&OP and Financial Planning processes.
We help you to preview your planning before actual production takes place!
Run Rough Cut Capacity
Analyze risks and
create alternative plans
Which is our goal? →
Be able to deliver a production plan that satisfies your demand, and proposes a plan
optimizing the use of free lines capacities according to constraints and prioritization criteria.
What to produce? When to produce? How much to produce? Get your answers!
restrictions, minimun &
maximum line production
bases on unsatisfied
Once the process is complete,
the and propose
alternative plans based on optimization runs.