At the risk of sounding like a true boomer (technically, I'm not), let me tell you a story about my time in the Belgian army.
I got married early, so I had the privilege of being stationed close to home but in an active defense battalion. Not being the sportiest of the bunch and having a college diploma, I was directed toward an administrative job. That's where I learned blind typing, which I thought was the most useful thing I learned there.
However, I was also in charge of scheduling the guards. Simple as it may seem, it proved to be more of an intellectual challenge than typing notes and lists. Scheduling over 50 people on the day- and night watch, with different skills (soldiers, officers, dog crews, etc.), each with their own watch durations, locations, and rest periods, is much more complicated than I initially thought. When my fellow soldiers started offering me bribes, I also learned that balanced schedules are valuable to people.
Now, about 30 years later, I know that scheduling people is a difficult mathematical problem. Combining these people in teams makes it even more complex. That's why our team at Solvice has built advanced job relations into our optimization AI algorithms.
Here's a gift to any of my successors struggling with complex schedules:
𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗱𝗼𝘄𝗻 𝗮𝗻𝗱 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗼𝗿𝗱𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗷𝗼𝗯 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀
Standard routing algorithms struggle with complex tasks such as executing multiple orders in sequence, combining skills for tasks, managing pickup and delivery, and assigning specific personnel to jobs.
Our job relations - https://lnkd.in/emyq7Qfe - concept provides detailed information to schedule jobs in specific sequences, whether directly sequential, on the same route, by the same resource, or a mix of these elements.
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