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The Shortest Processing Time algorithm is a scheduling strategy that prioritizes tasks based on their processing time, with the shortest tasks being handled first. This approach is designed to minimize the total waiting time for all tasks. For example, if you have a large project that takes four days and a smaller one that takes one day, completing the smaller project first will result in a lower total waiting time for your clients.
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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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