Tag: manufacturer
The quality connection
Recently I wrote about quality rankings for automotive manufacturers and the perception of these rankings in the market. While the marketing teams at these companies must shoulder the burden to convince consumers about their products’ quality, there is a very real connection between product quality and configuration management.
In many industries where products have grown over time with constant additions of new features and flexibility to allow customers to build to order, the level of complexity is staggering. Often the number of configurations sold on an annual basis is surprisingly close to the total units sold for that same period. This “snowflake” situation is one of the worst possible scenarios in product complexity as each unit has its own signature. Obviously, the production of these products also requires flexibility in manufacturing. This may result in reduced use of automation, and often it leads to units being reconfigured where components installed during one step are either removed or modified in a later step due to a unique situation.
These one-off manufacturing processes open the door for product quality issues due to fewer controls during production. Put simply, if I can reduce the number of different things that must be done during production I should be able to do those things better.
So product management teams have direct input on product quality via product complexity. Managing the product option mix to reduce the overall number of configurations can promote the increased quality that all manufacturers are looking for.
The typical tail graph
In a previous post, I discussed two types of sales history: raw and collapsed. The collapsed sales history can be displayed in a table or spreadsheet, with a special column for volume. If this table is sorted on decreasing volume, then the most popular configurations (popcons) will be at the top. The graph with the volumes displayed in decreasing order (popcons on the left) is called the tail graph
We have drawn tail graphs for cars, computers, washing machines, lighting fixtures, trucks and tractors, and they all look basically the same. The first tail graph shown below is small but typical. It represents 2,884 tractors, with 1,997 unique configurations, or build combinations. On average, there are 1.44 units per unique configuration. The most popular configuration was ordered 23 times. The graph quickly drops to two of a kind and finally one of a kind (our technical terms are “twosies” and “onesies”). Combined, the onesies and twosies account for 2,000 tractors, or 69% of total volume. Rather high, though this number is usually at least 40%.





