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These projects are called repetitive or linear projects. The main advantages of LSM over critical path method (CPM) is its underlying idea of keeping resources continuously at work. In other words, it schedules activities in such a way that: resource utilization is maximized;
For example, if 32 hours of billable time are recorded in a fixed 40-hour week, the utilization rate would then be 32 / 40 = 80%. Note that with this second method it is possible to have a utilization rate that exceeds 100%. If 50 hours of billable time are recorded in a fixed 40-hour week, then the utilization rate would be 50 / 40 = 125%.
In operations research, the makespan of a project is the length of time that elapses from the start of work to the end. This type of multi-mode resource constrained project scheduling problem (MRCPSP) seeks to create the shortest logical project schedule, by efficiently using project resources, adding the lowest number of additional resources as possible to achieve the minimum makespan. [1]
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Higher resource utilization rates; Improved project margins; The study concluded with a return on investment (ROI) model for an average 172-person professional services firm. According to the research, over a five-year horizon, the firm could expect to invest just under $200,000 in implementation and software license costs.
The goal is to achieve 100% utilization but that is very unlikely, when weighted by important metrics and subject to constraints, for example: meeting a minimum service level but otherwise minimizing cost. A Project Resource Allocation Matrix (PRAM) is maintained to visualize the resource allocations against various projects.
Capacity utilization or capacity utilisation is the extent to which a firm or nation employs its installed productive capacity (maximum output of a firm or nation). It is the relationship between output that is produced with the installed equipment, and the potential output which could be produced with it, if capacity was fully used. [ 1 ]
In mathematical queueing theory, Little's law (also result, theorem, lemma, or formula [1] [2]) is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied by the average time W that a customer spends in the system.