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11.10   Solutions to Order Fulfillment Problems Along the Supply Chain                          367

             Same-Day Delivery                                is received, it is entered into a database on the computer that
                                                              controls the robots. Software on the same computer searches
           We covered this topic in Chapter 3 as it related to groceries.  for the bot that is closest to the pod, and directs the bot via
           Also cited there is the increased competition. In addition to  wifi to retrieve the pod holding the item. At this point, the bot
           Amazon Fresh many other companies are active in the mar-  follows a series of QR code reflectors placed on the floor
           ket. Notable are Instacart, Postmates, and Google Express.  (like lane markers on a road) to find the correct pod, the bot
           But, same-day delivery does not only apply to groceries.  slides under the pod, lifts it, and carries it back to a specified
           Amazon is starting same-day delivery of everything in sev-  human operator. The operator picks out the correct item and
           eral large cities. Google Shopping Express is active too, and  puts it in a shipment package. Hence, the moniker goods-to-
           so are eBay, Uber Rush, and others (Bowman 2014). For a  man. At this point the bot is ready to go again. Bots travel
           discussion of one hour delivery, see Halkias (2015).  about 1.3  m a second and require recharging about every
                                                              hour for 5 min.
                                                                Kiva’s approach to automated  handling systems for
             Partnering Efforts and Outsourcing Logistics     e- fulfillment also works well with in-store re-stocking, parts
                                                              distribution, and medical device distribution operations.
           An effective way to solve order fulfillment problems is for an  Thus far, the system has proven to be more accurate and effi-
           organization to partner with other companies. For example,  cient than humans.
           several EC companies have partnered with UPS or FedEx;   At the time Kiva was originally purchased, it was also
           others with Fulfillment by Amazon and Alibaba’s Tmall (as  being used by other retailers like Walgreens, Staples, Crate
           discussed in the Opening Case of this chapter).    & Barrel, and The Gap. Almost immediately, Amazon ended
              Logistics-related partnerships can take many forms. For  Kiva support for these outside companies. In the interim a
           example, marketplaces may be managed by one of many freight  series of new robot competitors moved to fill the void. Some
           forwarders such as A & A Contract Customs Brokers, a com-  examples are Swisslog’s CarryPick (swisslog.com/carrypick),
           pany that helps other companies find “forwarders.” Forwarders  GrayOrange’s Butler (greyorange.com/products/butler), and
           help prepare goods for shipping and work with carriers to deter-  Grenzeback’s Carry AGV (grenzebach.com). While there are
           mine the optimal way to ship. Forwarders can also find the least  some differences in terms of speed, strength, and delivery tar-
           expensive prices on air carriers, and the carriers bid to fill the  gets (e.g., conveyors), almost all operate on the same goods-
           space with forwarders’ goods that need to be shipped.  to-man principle. See Tobe (2015) for details about these and
                                                              other systems.
             Using Robots for Order Fulfillment                 Another area where these seems to be interest in using
                                                              robots is with make-to-order fulfillment. Robots have long
           In 2012,  Amazon  bought a  robot company called  Kiva  been involved in manufacturing, especially in the auto indus-
           Systems for $775 million. Today, 30,000 Kiva robots have  try. Most of the older versions deployed in auto factors were
           been deployed to about 15 of Amazon’s larger fulfillment  large, cumbersome, and dedicated to a single task like weld-
           centers. The robots are used to assist workers with picking  ing or painting. More recently, smaller bots are being pro-
           and packing activities. There are several videos on the Web  duced that are “smarter, more mobile, more collaborative,
           that illustrate how they go about their work (e.g.,  vimeo.  and more adaptable” (Hagerty 2015). Some of these have
           com/113374910).                                    been designed to handle the tricky job of assembling
              They  operate  a  bit  differently  than  one  might  think  consumer- electronic items from standard parts (MTO) which
           (Valerio 2015). The items to be picked and packed reside in  is now mostly done by hand in Asia. They are also designed
           bins on moveable pallets called pods. A single pod can hold  to assist humans rather than replace them. A case in point is
           hundreds of items. Fully loaded the pods can weigh up to  a bot product from the partnership of ABB Ltd. and Rethink
           3000 lbs. At first blush, the logical thing to do would be to  Robots, Inc. They are designed to handle small parts and to
           use the man-to-goods method. In other words, if you need an  sense when parts are being assembled incorrectly. They are
           item, simply send a bot to retrieve it. In reality, Kiva works  also more programmable so they can adapt very quickly to
           the other way around—the goods-to-man method.      new requirements and uses. To see the bot in action, go to
              There are two types of bots both of which look sort of like  rethinkrobotics.com.
           big Roombas, the robot vacuum cleaners, except they are   There is a strong belief among the proponents of these
           square not round. One type, the S model, is 2 × 2.5 × 1 foot  sorts of robotic applications that they enable small compa-
           and can lift close to 1000 lbs. The other type, a G model, is a  nies to better compete against larger companies, and for com-
           bigger version and can lift up to 3000 lbs. Both of them can  panies in higher wage countries to better compete against the
           fit under the bottom section of the pods. When an item order  likes of China and other lower wage countries.
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