Product Code Database
A man-hour or human-hour is the amount of manual labor performed by the average worker in one hour. It is used for estimation of the total amount of uninterrupted labor required to perform a task. For example, researching and writing a college paper might require eighty man-hours, while preparing a family banquet from scratch might require ten man-hours.
Man-hours exclude the breaks that people generally require from work, e.g. for rest, eating, and other bodily functions. They count only pure labor. Managers count the man-hours and add break time to estimate the amount of time a task will actually take to complete. Thus, while one college course's written paper might require twenty man-hours to carry out, it almost certainly will not get done in twenty consecutive hours. Its progress will be interrupted by work for other courses, meals, sleep, and other human necessities.
This is, of course, only appropriate to certain types of activities. It is of most use when considering 'piece-work', where the activity being managed consists of discrete activities having simple dependencies, and where other factors can be neglected. Therefore, adding another person to a packaging team will increase the output of that team in a predictable manner. In transport industry, this concept is superseded by passenger-mile and tonne-mile for better costing accuracy.
In reality, other factors intervene to complicate this model. If some elements of the task have a natural timespan, adding more staff will have a reduced effect: although having two chefs will double the speed of some elements of food preparation, they roast a chicken no faster than one chef. Some tasks also have a natural number of staff associated with them: the time to chop the vegetables will be halved with the addition of the second chef, but the time to carve the chicken will remain the same. Economies of scale and diseconomies of scale further lead to a non-linear relationship between the number of workers doing a given task and the amount of time it takes them to complete it. Some tasks cannot be done by less than a required minimum number of workers (e.g. lifting heavy loads) or they will be done with drastically better efficiency if the workforce exceeds a minimum efficient scale. In other cases an excessive number of workers might get in each other's way, reducing efficiency and the per person productivity of the individual worker.
Another example is the adage, "Just because a woman can make a baby in nine months, it does not follow that nine women can make a baby in one month." This adage is often cited in systems development to justify the belief that adding more staff to a project does not guarantee it will get done quicker.
Another problem with this model, as Fred Brooks noted, is that organization, training, and co-ordination activities could more than outweigh the potential benefits of adding extra staff to work on a task, especially if considered only over a shorter time period.
A related concept is productive machine hours (PMH). More details in the paper "Influence of Terrain Conditions and Thinning Regimes on Productivity of a Track-Based Steep Slope Harvester".
(Solicitation Number 05-0002-02: Support Services for the Office of Naval Research for the Legislative Affairs Office (United States Navy Office of Naval Research: Arlington, Virginia, USA, 2004)
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