Innovation

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  1. Cocacola.es SI1-120

    This case accounts for the initiative of the gamified page cocacola.es, and the success of the platform. Further developments appeared thanks to it, such as the interactive community and a new marketing model for Coca-Cola. With the third edition of the portal, the model was not just validated, but it entered a new plan of promotions for the brand that started online but spread its influence to the offline world.

    Academic Area:
    Digital Technologies & Data Science
  2. JIT process DO1-014-I-M

    Interacitve case Study comprised of a dynamic comparison of the pull-push processes and a virtual guide of the Ford plant in Almussafes (Valencia).

    Academic Area:
    Operations & Supply Chain Management | Digital Technologies & Data Science | Innovation
  3. Proceso JIT DO1-014-M

    Interacitve case Study comprised of a dynamic comparison of the pull-push processes and a virtual guide of the Ford plant in Almussafes (Valencia).

    Academic Area:
    Operations & Supply Chain Management | Digital Technologies & Data Science | Innovation
  4. Basic statistical methods MC021-022-I

    This document introduces students to basic statistical models using step-by-step examples. It takes a look at how we can go from having sample data to data of the population by using two methods: confidence intervals and hypothesis testing. Students are then given practical examples of how these methods can be used. They are taken through each problem step by step and learn how to solve them using Excel functions.

    The examples cover cases like how to determine the optimal number of data in a sample and testing hypotheses for more than two means.

    Academic Area:
    Operations & Supply Chain Management | Others
  5. Quantitative decision analysis MC021-021-I

    This technical note introduces students to quantitative methods and modeling techniques to facilitate decision making. In order to learn how to apply scientific methods to help them choose the best possible strategy to reach their goal. Using an example, students are taught how to make a decision using expected values in order to transform non-controlled variables into a numeric value.                                                                                             

    Various examples are given so that students can learn how to make decisions based on different levels of risk aversion.

    Academic Area:
    Operations & Supply Chain Management | Others
  6. Ross Spain, S.A. SI1-145-I

    The firm Ross Spain S.A. was facing an automation challenge for the creation of quotes for their clients, due to the large amount of these that had been flooding in the previous months. To reduce the time spent on this task, the company thought of creating a spreadsheet that would allow the fast creation of quotes to match this growing demand.

    This case contains the necessary information for the student to then dedicate time to the creation of the spreadsheet that the company needs, thus fine tuning their abilities with this powerful tool.

    Academic Area:
    Digital Technologies & Data Science
  7. Ross España, S.A. SI1-145

    The firm Ross Spain S.A. was facing an automation challenge for the creation of quotes for their clients, due to the large amount of these that had been flooding in the previous months. To reduce the time spent on this task, the company thought of creating a spreadsheet that would allow the fast creation of quotes to match this growing demand.

    This case contains the necessary information for the student to then dedicate time to the creation of the spreadsheet that the company needs, thus fine tuning their abilities with this powerful tool.

    Academic Area:
    Digital Technologies & Data Science
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