Resource Allocation Modeling

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

Resources are 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 Entity CreatorCreate composite entities
Composite Entity SplitterSplit composite entities
Entity Batch CreatorCreate batch of entities
Entity Batch SplitterSplit batch entities
Resource AcquirerAcquire entity resources
Resource PoolPool entity resources
Resource ReleaserRelease entity resources
Entity FindFind entities

Topics

Group 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 the Selected Resources table of the Resource Acquirer block to receive the resource amount definition from the block dialog box or an entity attribute.

Optimize SimEvents Models by Running Multiple Simulations

Use Simulink.SimulationInput object 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 involving Entity Find block 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

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.

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Dining Philosophers Problem

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.

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Optimization of Shared Resources in a Batch Production Process

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.

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Modeling a Kanban Production System

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.

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Job Scheduling and Resource Estimation for a Manufacturing Plant

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:

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Modeling Machine Failure

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.

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Inventory Management

Inventory Management

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

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SimEvents Documentation

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