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The Shortest Processing Time (SPT) algorithm is a method used in scheduling and managing tasks. It prioritizes tasks based on their processing times, with the shortest tasks being handled first. This approach minimizes the total waiting time for all tasks. In the context of managing multiple projects, the SPT algorithm can be applied by tackling the quickest project first and then moving on to the next quickest, and so on. For example, if you have a large project that takes four days to complete and a smaller one that takes one day, you would first complete the smaller project. This way, the total waiting time for your clients is reduced, leading to increased efficiency and client satisfaction.
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To approach this type of schedule, especially if you have multiple clients, you can reduce the amount everyone must wait using the Shortest Processing Time algorithm. Simply put, always tackle the quickest task first and so on. Imagine a Monday morning in which you have one big project that takes four days to complete and a smaller project that takes one day. If you deliver the big project first on Thursday (4 days) and the small project on Friday (5 days), your clients will have waited a total of nine days. If you deliver the small project first on Monday (1 day) and the big one on Friday (5 days), your clients will have waited for a total of six days between them. This is known as the "sum of completion times."
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Can computer science teach us the secrets of life? Perhaps not, but they can shed light on how certain everyday processes work and how to exploit them...
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