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
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
DESPERDICIOS EN LA INDUSTRIA: CARACTERIZACIÓN Y PROG … DO2-126
Waste is a growing concern for many businesses in all types of industries.
This technical note takes a look at the types of waste Ohno identified while improving Toyota’s production system, including waste arising from surplus production, waste caused by waiting time, waste brought about by faulty units, waste arising from excess inventory, waste due to unnecessary movement, waste due to unnecessary processes and waste caused by excessive transport. This material also explains the different methods to avoid them and eliminate them.Academic Area:Operations & Supply Chain Management