Apple inc has the central warehouse in California but Amazon has approximately 28 warehouses from coast to coast. What Apple has to do is to synchronize data between the central warehouse and its own 246 stores + customers. With appropriate level of the automation, this kind of operations can be done efficiently.
For Amazon, thing is more complicated than that. Amazon is known to employ many PhD graduates in operations research/industrial engineering. The reason is that Amazon's distribution environment must be mathematically solved through the optimization method. Typically, they have to determine how many facilities they should have, where serves which market, items/quantity stored in each location, how to manage transportation between warehouse-to-warehouse and warehouse to customers in order to minimize cost and increase service level.
Apple inc has the central warehouse in California but Amazon has approximately 28 warehouses from coast to coast. What Apple has to do is to synchronize data between the central warehouse and its own 246 stores + customers. With appropriate level of the automation, this kind of operations can be done efficiently.
For Amazon, thing is more complicated than that. Amazon is known to employ many PhD graduates in operations research/industrial engineering. The reason is that Amazon's distribution environment must be mathematically solved through the optimization method. Typically, they have to determine how many facilities they should have, where serves which market, items/quantity stored in each location, how to manage transportation between warehouse-to-warehouse and warehouse to customers in order to minimize cost and increase service level.
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