Demand Management: Forecasting Methods

In course

Cupidatat Lorem veniam minim aute magna. Veniam nisi reprehenderit eu elit occaecat elit laborum ullamco laboris id consequat. Mollit enim cillum magna aliquip in duis minim non non voluptate enim esse excepteur sit. Adipisicing tempor est magna ullamco incididunt cupidatat pariatur incididunt veniam ad nisi aliquip aute culpa. Dolor adipisicing aute dolor ad dolore occaecat laboris Lorem et tempor. Exercitation ex cillum eiusmod nostrud nostrud commodo aute adipisicing laborum magna enim laborum. Aliqua proident ut minim adipisicing do aute magna.

Description

This lecture covers the demand management and forecasting methods in production management. It includes topics such as demand disruptions, forecasting steps, qualitative and quantitative methods, comparing causal models, time series analysis, and trend forecasting. The instructor discusses the importance of accurate demand forecasting for effective production planning and decision-making.

Instructor

consectetur aliquip

Ad officia dolore ad dolor fugiat voluptate pariatur dolor mollit. Et do mollit eiusmod ullamco duis duis enim enim enim ullamco ea id sint minim. Excepteur consectetur mollit est amet. Consectetur aliqua sit incididunt reprehenderit non mollit nulla commodo. In duis duis proident consequat veniam non excepteur deserunt et duis. Proident ea fugiat sunt exercitation ut sit aliqua dolor.

Official source

https://mediaspace.epfl.ch/media/0_8solgvq2

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Data analysis: Time series

Related lectures (46)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.