Resource Allocation Modeling

Combine entities, model using resources, group entities, create composite and batched entities

Resourcesare commodities shared by the entities in your model. Entities in an event-based system can acquire and release resources. You determine what resources represent in your model. Resources can represent supplies, machines, or any supplementary material that entities acquire to complete a task.

Blocks

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Composite and Batched Entities

Composite Entity Creator	Create composite entities
Composite Entity Splitter	Split composite entities
Entity Batch Creator	Create batch of entities
Entity Batch Splitter	Split batch entities

Resources

Resource Acquirer	Acquire entity resources
Resource Pool	Pool entity resources
Resource Releaser	Release entity resources

Find Entities

Entity Find

Find entities

Topics

集团Entities Using Batching

This example shows how to create, process, and split batched entities using Entity Batch Creator and Entity Batch Splitter blocks.

Model Using Resources

Use resource blocks to share commodities in your model.

Set Resource Amount with Attributes

Use theSelected Resourcestable of theResource Acquirerblock to receive the resource amount definition from the block dialog box or an entity attribute.

Optimize SimEvents Models by Running Multiple Simulations

UseSimulink.SimulationInputobject to create simulation sets to test the results and to perform model optimization.

Model Resource Allocation Using Composite Entity Creator block

Combine entities from different paths.

Find and Extract Entities in SimEvents Models

Common workflows involvingEntity Findblock to find and extract entities.

Resource Scheduling Using MATLAB Discrete-Event System and Data Store Memory Blocks

This example shows how to model resource scheduling using data exchange between the MATLAB Discrete-Event System block and the Data Store Memory block.

Featured Examples

Resource Allocation from Multiple Pools

A technique for allocating resources from multiple resource pools. It shows how to choose a pool from which to draw a resource, based on given criteria.

Open Model

Dining Philosophers Problem

The Dining Philosophers problem is a classical problem, originally formulated by E.W. Dijkstra, to demonstrate classical problems in computer science and the programming of concurrent or parallel processes.

Open Model

Optimization of Shared Resources in a Batch Production Process

Model and optimize the use of shared resources in a system, to identify resource deficiencies and improve capacity planning. The example is based on a batch production process, where production orders are processed only according to the availability of batch reactors. In the example, SimEvents® entities represent both the production orders of the manufacturing process, and the batch reactors that are required to process them. Later in the example, we will find the optimal resource capacities of the system by applying the Genetic Algorithm solver of MATLAB Global Optimization Toolbox.

Open Script

Modeling a Kanban Production System

A production system that uses kanbans to manage production activities. Analysis of simulation results highlights problems in the system and suggests ways to improve its performance.

Open Model

Job Scheduling and Resource Estimation for a Manufacturing Plant

Model a manufacturing plant. The plant consists of an assembly line that processes jobs based on a pre-determined schedule. This example walks you through a workflow for:

Open Script

Modeling Machine Failure

Model random failures and scheduled maintenance of a machine during regular operation. In the model, the machine can transition between three different states.

Open Model

Inventory Management

Build a simple inventory management system for a retail store. This example includes:

Open Model

SimEvents Documentation

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