Efficient Methods of One-Night Global Toy Delivery

Santa Claus1 Dr. Twinkles Holly-Jolly Tinselbottom2, Dr. Mittens Snowball III M.D

1 Head Toy Delivery Executive, Kringle Enterprise, North Pole

2 Head of R&D Department, Kringle Enterprises, North Pole

3 Chief of Medicine, Hospital of Saint Nicolas, North Pole

Abstract

With the world population now above 8 billion and three-quarters of a billion households to visit thanks to more millennials and zoomers living alone, the task of delivering toys around the world in one night is becoming increasingly difficult. Though an expansion of the naughty-list has attempted to decrease this annual burden, the nice list continues to grow, despite what your grandpa has been saying about younger generations not being as good as his. While I’m not getting any spryer, cutting-edge research from our R&D department manages to make the one-night toy delivery possible without outsourcing to FedEx [1] which would void my contract and I would lose my immortality [2]. This year we have made incremental improvements in the one-night path planning process by implementing NSGA-II, refined the clone genetics, further advanced the Sleigh integrated flight systems, and tuned upgraded from reindeer to Ramjets, switched to a new vigor serum now that we can’t source white Rhino horn, and improved our logistical warehouse network by crushing a union. All the 2022 improvements are projected to increase our Time per Household (TPH) from 8.2us up to 11.6us despite the population increase. 

Keywords: Christmas, Path Optimization, Traveling Salesman Problem, Cloning, Aeronautical Engineering, Aerial Countermeasures, Supersonic Flight, Super-human speed Vigor Serum, Parcel Delivery, Logistical Operations  

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Published by B McGraw

B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process.

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