Order Up To Level Calculator Online

Last updated on by Editorial Staff

Order Up TO Level Calculator

If your company is not considering safety stock and basic stock, you can skip these input fields and enter other fields to get the answer.

Quick Guide to Use Order Up To Level Calculator

  • Enter the “Safety Stock” in units.
  • Enter the “Basic Stock” in units.
  • Provide the “Lead Time” in days.
  • Input the “Unit Sales Per Day.”
  • Click the “Calculate” button to get the recommended order up to level.
  • Use the “Reset” button to perform new calculations

Formula

Order up to level = Target level – {Safety Stock + Basic Stock + (Lead Time in Days* Unit Sales Per Day)}.

Input Field Details

  • Safety Stock: The additional stock held by the company to prevent stockouts.
  • Basic Stock: The minimum stock level required for routine operations of the company.
  • Lead Time: The time taken from order placement to stock availability.
  • Unit Sales Per Day: The average number of units sold per day.

What is Order Up To Level?

Order Up To Level represents the inventory level at which a store should place an order to maintain the desired stock considering safety stock, basic stock, lead time, and daily sales rate.

Who Can Use This Calculator?

  • Retailers, store managers, and inventory controllers.
  • Businesses dealing with products and managing inventory levels.
  • Supply chain managers optimizing order processes.

Industries That Can Use This Calculator

Benefits of Using This Calculator

  • Optimize inventory management for efficient order placement.
  • Ensure sufficient stock levels to meet demand during lead times.
  • Minimize excess stock and associated holding costs.
  • Enhance overall supply chain efficiency.

FAQs

How often should I use this calculator?

It’s recommended to use the calculator regularly or whenever there are changes in demand patterns, lead times, or other relevant factors.

Can this calculator be used for perishable goods?

Yes, the calculator can be adapted for perishable goods, considering their specific shelf life and demand patterns.