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  1. Managing capacity in the intermediate term: aggregat … DO2-003-I

    “Notes and cases of operations often seem to be based on the analysis of operating systems in an unchanging environment. The emphasis is placed on understanding and evaluating basic characteristics of company’s operations, working under reasonably stable conditions in terms of demand and markets. However, business works differently in practice. Markets demand competition and strategic change. Operating systems should be adapted to new strategic needs. Even in situations where strategic and competitive framework is reasonably stable (where the convenience or otherwise making of changes in a coherently designed and well managed operating system could be questioned), demand does not usually remain stable in the course of time.”
    This technical note related to strategy details planning and scheduling procedures to manage dynamic capacity.

    Academic Area:
    Operations & Supply Chain Management
  2. 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
  3. 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
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