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:
- Formulate and plan the study.
- collect data and define a model.
- construct model and validate.
- make experimental runs using random variables that fits the distribution.
- 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.
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