Tag: customer fulfillment
Connect With Us
How many choice combinations does your product have? That depends.
Possible combinations
This is a question with several answers. The easiest answer is the least useful. The number of possible build combinations, or unique configurations, is easily computed by multiplying the number of options for each feature. For example, if your product has feature A with 3 options, feature B with 2 options and feature C with 4 options, then there are 24 (3 x 2 x 4) possible build combinations.
These numbers grow very rapidly. If you have 5 features, each with 4 options, there are about 1,000 build combinations (exactly 1,024). With 10 such features, the number of combinations is about 1 million (1,048,576), and with 15 features it is over 1 billion (1,073,741,824).
Comments Off
8 more definitions you need to know for product complexity analysis
1. Kit
A kit is a collection of parts that are used together for some purpose — for example, all the parts needed to implement air conditioning on a particular model of a car. A kit is assigned its own part number.
2. BOM
BOM stands for bill of materials. When a customer makes a selection of choices chooses a configuration (i.e., makes a complete set of option choices), the manufacturer translates the order into a collection of parts that are needed to assemble it. The BOM is expressed in terms of part numbers. These part numbers may refer to whole kits, composite parts or specific atomic parts. A complete vehicle, or washing machine, will contain many parts that the customer has not chosen. But these parts appear in every instance, or else they are implied by the combination of choices that the customer made.
Comments Off
Stop product complexity at the door
In any manufacturing company that builds configurable products, there is a lot of discussion around what product complexity is. What’s interesting is that when times are good and there are lots of sales, the discussion is usually around how to simplify or streamline with the goal to sell more product even faster, that complexity is keeping sales from going even higher. In bad times, the discussion typically moves to how complexity is causing undue stress on the supply chain, creating problems with parts forecasting, quality and finished goods inventory.
Rarely do these discussions end with participants really agreeing about exactly what complexity is or how to reduce it. Solutions are attempted with internal projects like SKU reduction and part number reduction initiatives driven by Six Sigma teams that mean well and do good work, but usually are chasing the tail of the complexity dog, rather than leashing it for good and guiding it to higher profits, lower forecasting errors, even shorter sales cycles.
Comments Off
Key Concepts To understanding Product Variety
1. Product
A product is something offered for sale to customers. This is deliberately vague, because we want to encompass services as well as tangible products. Most of our discussion and examples involve manufactured products, but our framework also applies to services with many variants like insurance policies and cell phone calling plans.
2. Instance
An instance of a product is a specific unit of the product: the car that Joe buys, which has a specific VIN (Vehicle Identification Number).
3. Configurable Product
A configurable product is a product where the instances are not all identical. No. 2 pencils are not configurable. Computers, cars, tractors, refrigerators and cell phones are configurable.
Optimization is the big win – but getting started is key
When I started studying complexity and realized the huge adverse impact it was having on companies, I was determined to “find it and get rid of it.” There are many places where that formula will lead to big improvements in everything – profits, service, quality and more. More and more companies are discovering how to do this. In some cases it is pretty simple. Just having the courage of their convictions that it will make things better is all that stands in the way of eliminating complexity.
Well, I found that is not completely true – at least not all the time. There are some situations where what seems to be a simple complexity elimination process turns out to be quite a bit more… complex! The real issue is not just complexity reduction. It is “optimization” of complexity. Get rid of the wasteful part and structure processes to use the right level of complexity.
The Root Cause of Product Complexity!
Emcien defines product complexity as simply the ability to predict what the next order coming into the company will be.
Think about it: If you only made product configuration A, you have 100% confidence in knowing that the next order in the door will be configuration A (assuming you get an order in the door at all, not a total given in this economy). But if you have configurations A and B, it’s harder to know and with A, B and C, it’s even harder, and so on. When you have thousands of configurations, predicting the next one is very difficult.
It’s not just the number of configurations that’s important but also how they’re distributed. If I have 10 configurations but 90% of my orders are for config A, then it’s still safe to predict that the next order is config A. But having 10 configs that have each been ordered 10% of the time is extremely complex!
Comments Off