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Case Study Making Decisions with Data Analytics: Morning Foods Inc. David is in charge of the packing floot for Morning Food Inc., a Swiss company producing breakfast cereals for kids. He has an office next to the packing line floor, where he can supervise all to packing, limes easily, Morning Food Inc. is a small player in the Swiss market, otherwise dominated by multinationals. However, it is well known for its frugal wwrketing strategies, which include avoiding expensive mainstream media for product promotions. The company introduced a new flavor of kids' cereals this month, and the marketing team decided to insert a cookie la famous animated character, "Dogpo," in each cereal box. The cookie is to be inserted in each box on the packing Door Since this sa short-kerm promotion, the addition of Deggo is being handled mamtally Marketing handed over an allotment of 10,000 cookies to be added to the first batch and asked David to coordinate with the cookie vender for sequent bots until further notice. David immediately issued 10,000 cookies to the packing floor. Davidste packs 1,000 cookies each day and David is told that the vendor needs a three-day notice before she can deliver the next lot of cookies. The coldes need to be transported in a way that they don't break during either inbound of outbound transportation. When David received the next congruent of cookies, he found that allor the coles were already broken. He immediately placed in order with the cookie vendor and asked for earliest delivery. Tweer the vendor informed him that it would take three Bays to deliver the rest batch of cookies. As Dawid walked into the office today, be received a call from the Operations Director's office asking him to meet with the director immediately, David is now dreading a Conversation with is difficult bons Case Questions 1. What should have wide diferently? What can he do now? 2. How can short-term changes to a los production line be implemented, as described in the 3-Saggs strategies to work with supplier in this type of situation that go beyond the specified by analyties analysis 4 Wattpsnied to packaging should David.consider for the logistics of the cookies? 100 Case Study Making Decisions with Data Analytics: Morning Foods Inc. David is in charge of the packing floor for Morning Food Inc., a Swiss company producing breakfast cereals for kids. He has an office next to the packing line floor, where he can supervise all 10 packing lines casily. Moming Food Inc. is a small player in the Swiss market, otherwise dominated by multinationals. However, it is well known for its frygal marketing strategies, which include avoiding expensive mainstream media for product promotions. The company introduced a new flavor of kids cercals this month, and the marketing team decided to insert a cookie of a famous animated character, "Doggo, in each cereal box. The cookie is to be inserted in each box on the packing door. Since this is a short-term promotion, the addition of Doggo is being handled manually. Marketing handed over an allotment of 10,000 cookies to be added to the first batch and asked David to coordinate with the cookie vendor for subsequent lots until further notice. David immediately issued 10,000 cookies to the packing floor David's team packs 1,000 cookies each day and David is told that the vendor needs a three-day notice before she can deliver the next lot of cookies. The cookies need to be transported in such a way that they don't break during either inbound of outbound transportation. When David received the next consignment of cookies, he found that all of the cookies were already broken. He immediately placed in order with the cookie vendor and asked for earliest delivery. However, the vendor informed him that it would take three days to deliver the next batch of cookies As David walked into the office today, he received a call from the Operations Director's office asking him to meet with the director immediately. David is now reading i conversation with his difficult boss. Case Questions 1. What should have David done differently? What can he do now? 2. How can short-term changes to a lean production line be implemented, as described in the case? 3. Suggest strategies on working with a supplier in this type of situation that go beyond those specified by analytics analysis. 4. What other aspects related to packaging should David consider for the logistics of the cookies? InnoDUY