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PRODID:https://github.com/derhansen/sf_event_mgt
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UID:10616-8511@www.uni-passau.de
CLASS: PUBLIC
SUMMARY:Optimizing Packaging for an eCommerce Business
DESCRIPTION:In any retail business, packaging is essential for the protecti
 on and transportation of products. Excessive packaging  however, increases
  costs, and can be off-putting to environmentally-conscious customers.\n\n
 It is therefore important to reduce packaging as much as possible.\n\n\n\n
 In this work, we consider the problem of selecting packaging options for d
 ispatching eCommerce orders. In particular, we need to select around a doz
 en box sizes to use for dispatch in such a way that: (i) we can cover almo
 st all orders, (ii) the selected boxes satisfy courier restrictions on siz
 e and (iii) we optimize key metrics such as packing efficiency.\n\n\n\nWe 
 model this as a two-stage stochastic program which explicitly incorporates
  how selected boxes are used for packing for large sample of orders. We de
 monstrate this approach using data from a large UK retailer, and our resul
 ts show that significant improvements in packing efficiency are possible c
 ompared to the set of boxes currently being used for dispatch.\n\n
DTSTAMP:20241125T102309Z
DTSTART:20241126T150000Z
DTEND:20241126T160000Z
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