Short answer

Before implementing lean manufacturing changes, use Discrete Event Simulation to model and test their impact on your production system.

Field: Commercial Production
Source: 'Elsevier BV' (2016)
Method: Simulation-based validation
Evidence: Strong effect

Discrete Event Simulation (DES) can be used to model and test the impact of proposed lean manufacturing improvements on a production system before they are physically implemented, reducing the risk of ineffective changes. This commercial production research insight is drawn from a 2016 study published in 'Elsevier BV'. Using Simulation-based validation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Before implementing lean manufacturing changes, use Discrete Event Simulation to model and test their impact on your production system.

Study

Commercial ProductionHigh ImpactStrong effect

Discrete Event Simulation Validates Lean Manufacturing Improvements Before Implementation

'Elsevier BV' · 2016

Key Findings

01Discrete Event Simulation can effectively model lean practices within a manufacturing system.
02Simulating lean improvement scenarios prior to implementation allows for systematic design and validation.
03This approach enables the identification of optimal lean improvements and reduces the risk of implementing ineffective changes.

Application

Design takeaway

Before implementing lean manufacturing changes, use Discrete Event Simulation to model and test their impact on your production system.

How to apply

When considering implementing new lean techniques (e.g., Kanban, 5S, value stream mapping), create a DES model of your current production line and simulate the proposed changes to predict their effect on throughput, lead time, and resource utilization.

Project actions

01When proposing lean improvements, consider how you could simulate their impact.
02Think about what data would be needed to build a simulation model of your design or system.

Method & Evidence

AimTo develop and present a methodology for using Discrete Event Simulation to model lean practices within a manufacturing system and investigate proposed lean improvement scenarios prior to their implementation.

MethodSimulation-based validation

ProcedureA methodology was developed to integrate a Lean Assessment Tool (LAT) with Discrete Event Simulation (DES). The LAT was used to assess current lean performance, and DES was then employed to model the manufacturing system. Various lean improvement scenarios were simulated within the DES model to evaluate their potential impact on system operations and performance metrics.

ContextManufacturing system optimization

Variables

IVImplementation of lean improvement scenarios

DVManufacturing system performance metrics (e.g., throughput, lead time, resource utilization)

CVInitial system configuration, operational parameters, simulation software settings

Strengths & Limitations

Strengths

+Provides a practical methodology for validating lean improvements.
+Integrates assessment tools with simulation for a comprehensive approach.

Limitations

Creating accurate simulation models can be time-consuming and requires specific software and expertise. The model is only as good as the data put into it.

Reliability & validity

Reliability would be assessed by running the simulation multiple times with the same parameters to ensure consistent results. Validity would be addressed by comparing simulation outputs to actual system data where possible, or by expert review of the model's assumptions.

Think critically

To what extent can simulation models accurately predict the real-world impact of lean improvements, considering factors like human behaviour and unforeseen disruptions?

Design Principles

"Validate operational improvements in a simulated environment before physical deployment to mitigate risk and optimize outcomes."

This approach allows design and production teams to explore the potential benefits and drawbacks of lean strategies in a virtual environment. By simulating different scenarios, organizations can identify the most effective improvements, optimize resource allocation, and avoid costly real-world trial-and-error.

What This Means for Your Design

Imagine you want to make your factory run smoother by using 'lean' ideas. This study says you can use computer software to pretend to make those changes first and see if they actually work, instead of changing things in the real factory and hoping for the best.

How to use in your project

1.Reference this study when discussing the validation of proposed design improvements or system optimizations.
2.Use the concept of simulation to justify testing design alternatives before committing to a final solution.

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Quick Cite

Paragraph starter

The methodology presented by Omogbai et al. (2016) highlights the utility of Discrete Event Simulation (DES) in validating proposed lean manufacturing improvements prior to their implementation. By modeling the existing system and simulating proposed changes, designers and engineers can systematically assess potential impacts on performance metrics, thereby de-risking the adoption of new strategies and optimizing resource allocation within production environments.

Source

'Elsevier BV'

Manufacturing System Lean Improvement Design Using Discrete Event Simulation

journal · 2016

View source

Questions About This Research

What does the research say about discrete event simulation validates lean manufacturing improvements before implementation?: Before implementing lean manufacturing changes, use Discrete Event Simulation to model and test their impact on your production system. Evidence: 'Elsevier BV' (2016).
Why does "Discrete Event Simulation Validates Lean Manufacturing Improvements Before Implementation" matter for design?: This approach allows design and production teams to explore the potential benefits and drawbacks of lean strategies in a virtual environment. By simulating different scenarios, organizations can identify the most effective improvements, optimize resource allocation, and avoid costly real-world trial-and-error.
How can designers apply this research?: Before implementing lean manufacturing changes, use Discrete Event Simulation to model and test their impact on your production system.
What were the main findings?: Discrete Event Simulation can effectively model lean practices within a manufacturing system.. Simulating lean improvement scenarios prior to implementation allows for systematic design and validation.. This approach enables the identification of optimal lean improvements and reduces the risk of implementing ineffective changes.
What research method was used?: Simulation-based validation.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2016 journal from 'Elsevier BV'.
What should I do differently in my next project?: When considering implementing new lean techniques (e.g., Kanban, 5S, value stream mapping), create a DES model of your current production line and simulate the proposed changes to predict their effect on throughput, lead time, and resource utilization.
What are the limitations?: The accuracy of the simulation is dependent on the quality of the input data and the fidelity of the model. The effectiveness of the LAT in accurately assessing current lean practices is also a factor.