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Cliff Holste is Supply Chain Digest's Material Handling Editor. With more than 30 years experience in designing and implementing material handling and order picking systems in distribution, Holste has worked with dozens of large and smaller companies to improve distribution performance.

Logistics News

By Cliff Holste

August 8, 2012



Does SKU Proliferation Combined With Shorter Product Life Cycle Complicate The EOQ Calculation?

For Retailers - a Major Concern is How Much Inventory is Enough without Being Too Much


The principal challenge of all retailers is to be able to purchase a sufficient quantity of the correct products so that their stores have items to sell but, at the same time, not too many so as to keep the total on-hand inventory from rising too high. The key question then is “how much”? The calculation of optimal order quantity, known as EOQ – Economic Order Quantity, also known as the Wilson Formula, is based on the optimization of holding costs and ordering costs.

The EOQ calculation assumes that the demand for products remains fairly stable, ordering costs are independent of the batch size, and the lead time remains unchanged. But in today’s uncertain economy, product stability has become a causality of extreme market fluctuation and consumer caution. What was a trendy fast mover 3 months ago may be dead now. So for EOQ to work the calculation must be run as often as possible because the company’s operating environment is constantly changing, i.e. new products are launched, old ones are removed, demand for products varies and there are changes in the company’s cost structure.

Holste Says:

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In today's uncertain economy, product stability has become a causality of extreme market fluctuation and consumer caution.
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Looking for a Better Inventory Management Tool

Mr. Jyrki Salmivuori, of Salmivuori Consulting (www.salmivuori.fi) located in Helsinki, Finland, published a book in 2009 on inventory management and ERP systems. A copy of Mr. Salmivuori’s book “Inventory Management for Small and Medium-sized Businesses” can be purchased from the above website.

In his book, Mr. Salmivuori points out that the trend toward shorter product life cycle applies not only to mobile phones and digital cameras, but also to nearly all traditional business fields. Therefore, when considering inventory optimization, the safety stock of “rising trend products” (that might be at the introduction stage or growth stage of their life cycle) can be maximized, whereas the safety stock of products that are approaching the end of their life cycle can be minimized.

How can this be carried out in practice? The answer, according to Mr. Salmivuori, is product categorization as follows:

In a traditional ABC categorization, products are divided into A, B or C categories on the basis of sales. The product category should indicate whether a specific product is at the initial or final stages of its life cycle. For this purpose, a product life cycle-based ABC+ categorization method has been developed for products. New and EOS (end of sales) products require separate categories. A rising trend, stable demand and decreasing trend can be represented using symbols '+', '=' and '-'. As a result, the ABC category of a volume product with a rising trend is ‘A+’. The category of a volume product with decreasing sales is ‘A-’ and that of a volume product with stable demand is ‘A=’.

A Min–Max range is specified for each ABC category within which the product’s stock balance must be kept. For example, the minimum level (i.e. safety stock) of an A+ product can be a quantity corresponding to the consumption of one month and the maximum level can be a quantity corresponding to the consumption of three months. Thus, the traditional ABC categorization has been replaced by the new, product life-cycle based ABC categorization.

Mr. Salmivuori states that while this method is not aimed at optimizing costs related to the ordering process, it can significantly reduce costs arising from the undervaluation of obsolete products because the stock levels can be reduced in a controlled manner following the product’s life cycle. At the same time, the capital tied to the inventory can be reduced and product availability can be improved.



Final Thoughts

Optimizing inventory level is a high priority and critical to maintaining a healthy balance sheet. The product life-cycle based analysis method described above should work well for companies, especially SMBs, looking for more clarity as to SKU velocity and appropriate min-max inventory levels. These companies should probably do ABC SKU activity profiling at least annually or even semi-annually.

 

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