A very basic definition of productivity – the average measure for the efficiency of a production process – would just be the ratio between process output units and process input units. The labor productivity might, for example, be four output units (such as car or netbook parts) per labor hour. If one does not focus on a specific form of process input units (such as labor hours), but instead takes all kinds of input units into account (such as materials, energy, labor etc.), we are talking about the so-called multifactor productivity. Since both process input units and process output units are often difficult to measure and compare, fiscal measurements such as revenue and costs can be used instead. Fiscal measurements are also needed for comparing different input units (work time, materials) in the already mentioned multifactor scenarios.
These considerations lead to some basic mathematical expressions:
- productivity = output / input
- labor productivity = output / labor time
- transformation efficiency = output / capacity
- multifactor productivity = output (in $) / (capital + labor + materials + services + energy) (in $)
The two main drivers that reduce productivity are waste and inefficiencies. Inefficiencies and waste can be seen as the distance between a company and the efficiency frontier.
These lecture notes were taken during 2013 installment of the MOOC “An Introduction to Operations Management” taught by Prof. Dr. Christian Terwiesch of the Wharton Business School of the University of Pennsylvania at Coursera.org.