Icon of program: Simple EOQ Calculator

Simple EOQ Calculator for Android

Key Details of Simple EOQ Calculator

  • Calculate your optimal quantity order.
  • Last updated on 1/29/2014
  • There have been 5 updates
  • Virus scan status:

    Clean (it's extremely likely that this software program is clean)

Developer's Description

Calculate your optimal quantity order.
If you run a company that needs to hold stock you know you face two major costs:(1) the cost of holding inventory, and(2) the cost of ordering.Both costs work in such a way that you need to balance them; there is a trade-off: stock too much and your holding costs will eat your profits, keep your ordering frequency at high levels and your ordering costs will increase. For the sake of supply chain management efficiency there are many models available. However, one of the most utilised systems is back from 1913, the 'Economic Order Quantity' (EOQ) model, developed by Production Engineer Ford Harris.

Simple EOQ Calculator allows to calculate the order size, and hereby the reorder point, that minimises the total cost of purchasing, ordering and holding stocks. The simplicity of the model resides in its ability to calculate such optimal quantity only considering three figures: demand, ordering cost, and holding cost. Simple EOQ Calculator calculates the EOQ given an annual demand estimate, together with the total yearly orders and the total annual cost. Further, you can choose to calculate the EOQ when shortages may arise; the possibility of shortages may come from either a technical perspective (it is possible to backorder), or from a commercial possibility (customers do not cancel an order whenever there is no inventory available and wait for the backordering process).

If you consider demand is uncertain, then the calculator will make use of the 'Newsvendor model', and it will calculate the optimal monthly order given the selling price of the product, your costs, and the average monthly demand and its standard deviation. This is the most used model to calculate optimal order size when demand is unknown and only mean demand and demand variance is known.

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