Supply Chain Planning

Supply Chain Planning

МООК
en
Английский
Subtitles available
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Introductive Level
  • Субтитры доступны на Greek

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Course details

Syllabus

  • Week 1 - Simple Forecasting Methods, Naive Forecast and Cumulative Mean
    Welcome to the exciting world of planning! This module introduces you to the professor who is teaching the courses in the Supply Chain Management Specialization. You will also construct forecasting models that enable you to predict future demand. By the end of...
  • Week 2 - Forecast Accuracy and Moving Average
    In this module, learners will cover two more sophisticated forecasting methods, the moving average and exponential smoothing.
  • Week 3 - Exponential Smoothing and Forecast Selection
    In this module, you will master one more forecasting method - exponential smoothing. In addition, you will learn how to pick the best forecasting approach and what to do with the forecast once it is implemented.
  • Week 4 - Supply Chain Planning
    In this module you will put your new forecasting skills to the test. You will analyze a real-life dataset and make recommendations on the different forecasting methods.

Prerequisite

None.

Instructors

Rudolf Leuschner, Ph.D.
Assistant Professor
Department of Supply Chain Management

Editor

Rutgers, The State University of New Jersey (/ˈrʌtɡərz/), commonly referred to as Rutgers University, or RU, is an American public research university in New Jersey. It is the largest institution of higher education in New Jersey.

Platform

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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