Obsolescence isn’t an uncommon word –
a Google search finds more than 5.7 million entries. However, in the engineering design and
product support context it has several different meanings. First, the dictionary definition of obsolescence is the condition of no longer being used or useful. This definition is not inconsistent with the
definitions that follow, but it is also not specific enough to provide much value in a product support context.
Planned
Obsolescence – we hear this a lot.
Planned obsolescence refers to products (usually consumer products) that are designed to
be rendered obsolete by the introduction of another product that has more
functionality, higher performance, smaller size, and/or costs less. Planned obsolescence is a strategy sometimes
followed by companies that design and manufacture consumer electronics. Planned obsolescence is often confused with
“made-to-break” products [1].
Made-to-break products are products that are intentionally designed or
manufactured to fail at some point in the future (nominally after the warranty
has ended) forcing the customer to purchase a new product.
Sudden or Inventory Obsolescence - Sudden or inventory obsolescence occurs when the product design or system part specifications changes such that existing
inventories of components (e.g., spare parts) are no longer required. This type of obsolescence has been studied in the operations research literature.
DMSMS or Procurement Obsolescence –
DMSMS (Diminishing Manufacturing Sources and Material Shortages) obsolescence
is the loss or impending loss of original manufacturers of items or suppliers
of items or raw materials [2]. This type
of obsolescence is caused by the unavailability of technologies or parts that
are needed to manufacture or sustain a product.
DMSMS means that due to the length of the system’s manufacturing and
support life and possibly unforeseen life extensions to the support of the
system, the necessary parts and other resources become unavailable (or at least
unavailable from their original manufacturer) before the system’s demand for
them is exhausted. DMSMS obsolescence is
the opposite of sudden or inventory obsolescence.
Planned
obsolescence is a strategy followed by product manufacturers, DMSMS
obsolescence is a situation forced upon system sustainers (these two types of
obsolescence are not the same). DMSMS
obsolescence may be the result of the planned obsolescence of products that
drive the market for specific types of parts, e.g., if your long field life system
depends on the same parts that cell phones depend on, then planned obsolescence
strategies for cell phones drive the DMSMS obsolescence of the parts you depend
on. The “poster child” for DMSMS type
obsolescence is electronic parts. For
some electronic parts the planned obsolescence of particular products is the
primary driver behind the part’s obsolescence, but the discontinuance of parts is
also simply the result of falling demand that makes it more profitable to
dedicate manufacturing resources to other products, or changes in ownership of
product lines or companies.
All
of the types of obsolescence defined above are relevant for real product and
system segments. While it is easiest to
think of these as impacting hardware, obsolescence also has a significant
impact on software [3], materials, and even the human workforce [4].
[1] Slade, G. (2006). Made to break: Technology and obsolescence in America, Harvard University Press.
[2]
Sandborn, P. (2008). Trapped on technology's trailing edge, IEEE Spectrum, 45(1), pp. 42-45, April.
[3] Sandborn, P. (2007). Software obsolescence - Complicating the part and technology obsolescence management problem, IEEE Transactions on Components and Packaging Technologies, 30(4), pp. 886-888, December.
[4] Sandborn, P. and Prabhakar, V.J. (2015). Forecasting and impact of the loss of the critical skills necessary for supporting legacy systems, IEEE Transactions on Engineering Management, 62(3), pp. 361-371, August.
[3] Sandborn, P. (2007). Software obsolescence - Complicating the part and technology obsolescence management problem, IEEE Transactions on Components and Packaging Technologies, 30(4), pp. 886-888, December.
[4] Sandborn, P. and Prabhakar, V.J. (2015). Forecasting and impact of the loss of the critical skills necessary for supporting legacy systems, IEEE Transactions on Engineering Management, 62(3), pp. 361-371, August.