Supply chain simulations using Anylogic and Excel.

Simulation are great prescriptive tools for our business, understanding when its powerful to do simulation is a key differentiator for any business.

Simulation can be used in a variety of contexts; it is most useful in capturing complex system interactions, modeling system uncertainty, or generating data to analyze, describe and visualize interactions, outcomes, and sensitivities. There are several classes of simulation models including: system dynamics; Monte Carlo Simulation; discrete time simulation; and agent based simulations.

The first session will be an introduction about simulation modelling and its different types.

We will learn what are the steps we need to do build a simulation models, also we will understand the different kinds of probabilities and distributions that helps us to assess our simulation models. In the first session, we will cover:

  • Simulation models use in supply chains.
  • Pros and cons of using simulation.
  • Learning about probability distributions.
  • Statistical performance metrics.

The second session will conduct an experimental run on excel, develop a Monte Carlo simulation and analyze our outputs. In this session, we will cover the following:

  1. Formulate and plan the study.
  2. collect data and define a model.
  3. construct model and validate.
  4. make experimental runs using random variables that fits the distribution.
  5. analyze output.

On the third session, use any logic software, a software widely used for supply chain flows and waiting lines experiments. In this session, we will create two models for an airport and a medical Centre to validate how many resources should we use in our facilities.

In this session, we will cover:

  • Creating the model in anylogic.
  • Timing waiting lines.
  • Determine utilization of resources.

Creating different scenarios for improvement.

Workshop learning outcomes

  • Why and when to use simulation in supply chains.
  • Understand, develop and test probabilities and distributions.
  • Review the steps to developing a simulation model.
  • Recognize kinds of simulation and when to apply them.
  • Construct simulation models, Discrete and time based.

Requirements

Participants are kindly requested to install the free version of these software on their devices (Mac or windows)

  • AnyLogic Personal learning edition. (free version from anylogic.com)
  • Microsoft Excel