When you want to improve something, find a metric that drives the performance you want.
Pretty obvious, as most of us subscribe to the cliché that you get what you measure, while remembering Einstein’s observation that not all that matters can be measured.
Ultimately, what the customer thinks is crucial to success. Therefore, measuring the performance in meeting the customers’ expectations is always a good place to start measuring your performance.
Amongst my favoured measures is DIFOT.
Delivered In Full On Time.
That means not only the full order delivered on the day it is originally promised, with no errors of any sort, from quality of the product to the delivery time and accuracy of the ‘paperwork’.
DIFOT is a challenging measure, as it requires the collaboration and coordination of all the functional and operational tasks required to deliver in full on time.
As you fail to reach 100% DIFOT, as most do most of the time, at least at first, the failures are used as a source of improvement initiatives.
There is very little more important to the receipt of that next order than your performance on the previous ones. Never forget that, and measure DIFOT.
Hand in hand with DIFOT, you should also measure inventory cover.
The sibling.
You can improve DIFOT by simply increasing inventory when selling a physical product. Demand is inherently difficult to forecast, as it is the future, and entirely out of your hands. The challenge is to prevent your warehouses multiplying, and clogging the operational systems. The ideal situation is ‘make to order’, the ultimate shortening of the order to delivery cycle time.
The most common and very useful measure of inventory is ‘Days cover’. How many days of normal, average, forecast sales, whichever you prefer in your circumstances, do you have on hand to meet demand? This measure is extremely useful on a ‘by product’ basis, but when applied as an average across multiple lines with differing demand levels, can become a dangerous ‘comforter’.
Counter intuitively, the products that cause the most problems are the smaller volume ones, and new products. In both cases, demand is harder to forecast. The swings from out of stock to excess inventory can be erratic, particularly when a production line is geared to the larger volume runs of an established product as a driver of operational efficiency.
To achieve a 100% DIFOT while controlling physical inventory over an extended period is the most difficult operational challenge I have come across. As a result, it is amongst the most valuable to keep ‘front and centre’. The twin measures of DIFOT and ‘Days Cover’ are a vital element in addressing that ultimate challenge of customer service.
