August 26, 2009 – 10:41 am
Product complexity is driven by large number of options. Companies struggle to determine which feature choices are driving complexity. They typically “randomly cut choices” to streamline and rationalize SKUs. The cost of product complexity is tremendous on engineering. The current PLM systems do not have a method to measure this and provide intelligent feedback to engineers on how to standardize platforms to reduce engineering and maintenance costs.
This article clearly details the metrics around product complexity and how to solve this issue.
August 25, 2009 – 1:55 pm
The number of build combinations depends on which features are included. The build combinations is the product mix or the marketing mix. Understanding this is important as product complexity is a key driver of process complexity.
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 [...]
By Roy Marsten
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Posted in Uncategorized
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Also tagged algorithm, analytics, BTO, build to order, choice combinations, configuration, customer fulfillment, customers, demand driven, demand shaping, features, manufacturing, options, product management, product mix, proliferation, sales data, sales history, SKU
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