Short answer

When developing composite materials, prioritize optimizing the 'time' parameter in the water absorption process, informed by a systematic analysis of causal relationships and multi-criteria preferences.

Field: Commercial Production
Source: IJIEM - Indonesian Journal of Industrial Engineering and Management (2021)
Method: Multi-Criteria Decision Analysis (MCDA) combining DEMATEL (Decision-Making Trial and Evaluation Laboratory) and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations).
Evidence: Strong effect

Integrating DEMATEL for causal analysis with PROMETHEE for multi-criteria decision-making effectively ranks composite water absorption parameters, prioritizing 'time' for lean and efficient production. This commercial production research insight is drawn from a 2021 study published in IJIEM - Indonesian Journal of Industrial Engineering and Management. Using Multi-criteria decision analysis (mcda) combining dematel (decision-making trial and evaluation laboratory) and promethee (preference ranking organization method for enrichment evaluations)., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When developing composite materials, prioritize optimizing the 'time' parameter in the water absorption process, informed by a systematic analysis of causal relationships and multi-criteria preferences.

Study

Commercial ProductionHigh ImpactStrong effect

Optimizing Composite Water Absorption with DEMATEL-PROMETHEE for Lean Manufacturing

IJIEM - Indonesian Journal of Industrial Engineering and Management · 2021

Key Findings

01The DEMATEL method successfully established a cause-and-effect relationship among water absorption parameters.
02Weights assigned by DEMATEL were: final weight (0.182), initial weight (0.114), length (0.290), thickness (0.242), and time (0.244).
03PROMETHEE analysis, using DEMATEL weights, ranked 'time' as the most critical parameter (-0.0079), followed by length (-0.2166) and thickness (-0.2742).

Application

Design takeaway

How to apply

Use the DEMATEL-PROMETHEE methodology to analyze and rank critical parameters in any complex manufacturing process where multiple factors interact and influence outcomes, such as curing times, material ratios, or environmental controls.

Project actions

01When choosing parameters for your design project, think about how they might influence each other (cause and effect).
02Consider using multi-criteria decision-making tools to rank your design choices based on different important factors.

Method & Evidence

AimHow can a combined DEMATEL-PROMETHEE methodology be used to effectively rank and prioritize parameters in the water absorption process of composite development for improved resource distribution and lean manufacturing?

MethodMulti-Criteria Decision Analysis (MCDA) combining DEMATEL (Decision-Making Trial and Evaluation Laboratory) and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations).

ProcedureThe DEMATEL method was employed to identify causal relationships and assign weights to various parameters influencing water absorption in composites. Subsequently, the PROMETHEE method utilized these weights to perform a net outranking analysis, ultimately ranking the parameters based on their overall impact and preference. The study used existing literature data for parameter evaluation.

ContextComposite material manufacturing, specifically focusing on the water absorption process.

Variables

IV["Parameters of water absorption process (final weight, initial weight, length, thickness, time)","Weights assigned by DEMATEL"]

DV["Net outranking results from PROMETHEE","Ranking of parameters"]

CV["Composite material type","Environmental conditions during absorption (implicitly assumed constant in literature data)"]

Strengths & Limitations

Strengths

+Combines two powerful decision-making tools for a comprehensive analysis.
+Provides a clear cause-and-effect mechanism alongside ranking.
+Offers practical implications for lean manufacturing.

Limitations

The chosen methods can be complex to implement without specific software. Relying on existing data might not reflect the unique conditions of your specific design context.

Reliability & validity

The reliability of the DEMATEL-PROMETHEE model depends on the quality of the input data and the expertise in applying the methods. Validity is supported by its ability to provide a structured, logical ranking and its claimed success in real-world applications, though direct validation in this specific study is based on literature data.

Think critically

To what extent can the DEMATEL-PROMETHEE model be generalized to other material processing techniques beyond composite water absorption, and what are the potential challenges in adapting it?

Design Principles

"Employ integrated decision-making frameworks (like DEMATEL-PROMETHEE) to systematically analyze and prioritize process parameters for optimized manufacturing outcomes."

This research offers a robust framework for designers and manufacturers to systematically evaluate and prioritize critical process parameters in composite development. By providing a clear cause-and-effect understanding and a ranked output, it enables more informed decisions regarding resource allocation and process optimization, directly contributing to leaner and more effective manufacturing outcomes.

What This Means for Your Design

This study shows how to use two smart methods (DEMATEL and PROMETHEE) to figure out which part of making composite materials is most important. They found that controlling the 'time' spent absorbing water is the best way to make the process more efficient and save resources.

How to use in your project

1.Reference this study when discussing the selection and prioritization of design parameters, especially in manufacturing processes.
2.Use the DEMATEL-PROMETHEE framework as a model for your own decision-making process, adapting it to your specific design challenge.

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Quick Cite

Paragraph starter

This research by Maduekwe and Oke (2021) demonstrates the utility of integrating DEMATEL and PROMETHEE methodologies for optimizing composite water absorption processes. Their findings highlight 'time' as a critical parameter, offering a data-driven approach to resource allocation and lean manufacturing that can inform the systematic evaluation of process parameters in complex design projects.

Source

IJIEM - Indonesian Journal of Industrial Engineering and Management

An Evaluation of Water Absorption Process Parameters for Composites by Deploying A Novel DEMATEL Method-PROMETHEE Method

journal · 2021

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Questions About This Research

What does the research say about optimizing composite water absorption with dematel-promethee for lean manufacturing?: When developing composite materials, prioritize optimizing the 'time' parameter in the water absorption process, informed by a systematic analysis of causal relationships and multi-criteria preferences. Evidence: IJIEM - Indonesian Journal of Industrial Engineering and Management (2021).
Why does "Optimizing Composite Water Absorption with DEMATEL-PROMETHEE for Lean Manufacturing" matter for design?: This research offers a robust framework for designers and manufacturers to systematically evaluate and prioritize critical process parameters in composite development. By providing a clear cause-and-effect understanding and a ranked output, it enables more informed decisions regarding resource allocation and process optimization, directly contributing to leaner and more effective manufacturing outcomes.
How can designers apply this research?: When developing composite materials, prioritize optimizing the 'time' parameter in the water absorption process, informed by a systematic analysis of causal relationships and multi-criteria preferences.
What were the main findings?: The DEMATEL method successfully established a cause-and-effect relationship among water absorption parameters.. Weights assigned by DEMATEL were: final weight (0.182), initial weight (0.114), length (0.290), thickness (0.242), and time (0.244).. PROMETHEE analysis, using DEMATEL weights, ranked 'time' as the most critical parameter (-0.0079), followed by length (-0.2166) and thickness (-0.2742).
What research method was used?: Multi-Criteria Decision Analysis (MCDA) combining DEMATEL (Decision-Making Trial and Evaluation Laboratory) and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations)..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2021 journal from IJIEM - Indonesian Journal of Industrial Engineering and Management.
What should I do differently in my next project?: Use the DEMATEL-PROMETHEE methodology to analyze and rank critical parameters in any complex manufacturing process where multiple factors interact and influence outcomes, such as curing times, material ratios, or environmental controls.
What are the limitations?: The study relied on literature data, which may not fully capture the nuances of specific real-world manufacturing environments. The complexity of the DEMATEL-PROMETHEE model might require specialized software or expertise for implementation.