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Data Collection: Applying Methods of Data Collection for Input Variables

Learn how to collect data and use it within logistics simulation.

Data Collection: Applying Methods of Data Collection for Input Variables
  • Duration

    2 weeks
  • Weekly study

    13 hours

Discover data collection methods

On this short course, you’ll explore the importance of input data and the appropriate collection and treatment of it for simulation.

During the course, you’ll also gain an appreciation of the possible datasets for inclusion in simulation models and will be taught to apply the correct distribution to datasets and check the goodness of fit.

What topics will you cover?

Week 1

  • The importance of input data
  • Data collection, tools and techniques – quantitative and qualitative data collection
  • Key activities in data collection
  • Data sets
  • Data treatment
  • Pitfalls

Week 2

  • Treatment of input data
  • Deterministic versus probabilistic
  • Selecting statistical distributions
  • Selecting appropriate statistical distributions
  • Fitting input data to distributions
  • Goodness of fit test
  • Modelling without data

Learning on this course

You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Describe the relationship between data and simulation
  • Apply appropriate methods of data collection for simulation
  • Identify and use probability distributions
  • Identify statistical distributions and their application in simulation
  • Experiment with fitting data to statistical distributions
  • Describe the goodness of fit test
  • Explore selecting the input model without data

Who is the course for?

This course is for anyone with a keen interest in logistics operations and how to manage them efficiently while facing uncertainties in a virtual environment.

Please note that the staff described in the ‘Who will you learn with?’ section below may be subject to change.

Who will you learn with?

Dr Jim Rowley EngD MSc BEng (Hon) CEng CMILT FHEA MIET PGCE, Assistant Professor in supply chain management, logistics, simulation and operations management at Coventry University, UK.

Who developed the course?

Coventry University

Coventry secured gold in the UK Government’s 2017 Teaching Excellence Framework (TEF) and is University of the Year for Student Experience in The Times & The Sunday Times Good University Guide 2019.

  • Established

    1992
  • Location

    Coventry

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control

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