Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing

The furniture-manufacturing industry is pressured to improve quality, productivity, and profitability, particularly within increasingly volatile market conditions. This study is focused on the development of methods for optimizing production processes in a furniture-manufacturing company through the...

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Main Authors: Kristina Klarić, Ivana Perić, Karla Vukman, Fran Papić, Miljenko Klarić, Petra Grošelj
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/13/1/14
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author Kristina Klarić
Ivana Perić
Karla Vukman
Fran Papić
Miljenko Klarić
Petra Grošelj
author_facet Kristina Klarić
Ivana Perić
Karla Vukman
Fran Papić
Miljenko Klarić
Petra Grošelj
author_sort Kristina Klarić
collection DOAJ
description The furniture-manufacturing industry is pressured to improve quality, productivity, and profitability, particularly within increasingly volatile market conditions. This study is focused on the development of methods for optimizing production processes in a furniture-manufacturing company through the application of an integrated risk management framework. By integrating Failure Mode and Effects Analysis (FMEA) with advanced multi-criteria decision-making (MCDM) techniques, specifically fuzzy AHP, fuzzy TOPSIS, and fuzzy WINGS, a hybrid model is developed to identify, prioritize, and address critical failure points while accounting for complex interdependencies. Significant failure modes, such as order inaccuracies and delivery delays, are revealed as key findings and are found to notably affect productivity and customer satisfaction. The proposed model’s ability to capture cascading effects and a nuanced prioritization enables a more precise risk assessment, thereby supporting resilience and process efficiency in the furniture-manufacturing sector. This approach is shown to not only optimize production but also provide a foundation for applying such hybrid models in other industries to manage sector-specific interdependencies effectively.
format Article
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institution Kabale University
issn 2079-8954
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publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Systems
spelling doaj-art-8e18f087dd9d4fcba6793bcad0a416132025-01-24T13:50:28ZengMDPI AGSystems2079-89542024-12-011311410.3390/systems13010014Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture ManufacturingKristina Klarić0Ivana Perić1Karla Vukman2Fran Papić3Miljenko Klarić4Petra Grošelj5Faculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, CroatiaDepartment of Forestry and Renewable Forest Resources, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaThe furniture-manufacturing industry is pressured to improve quality, productivity, and profitability, particularly within increasingly volatile market conditions. This study is focused on the development of methods for optimizing production processes in a furniture-manufacturing company through the application of an integrated risk management framework. By integrating Failure Mode and Effects Analysis (FMEA) with advanced multi-criteria decision-making (MCDM) techniques, specifically fuzzy AHP, fuzzy TOPSIS, and fuzzy WINGS, a hybrid model is developed to identify, prioritize, and address critical failure points while accounting for complex interdependencies. Significant failure modes, such as order inaccuracies and delivery delays, are revealed as key findings and are found to notably affect productivity and customer satisfaction. The proposed model’s ability to capture cascading effects and a nuanced prioritization enables a more precise risk assessment, thereby supporting resilience and process efficiency in the furniture-manufacturing sector. This approach is shown to not only optimize production but also provide a foundation for applying such hybrid models in other industries to manage sector-specific interdependencies effectively.https://www.mdpi.com/2079-8954/13/1/14furniture manufacturingFMEAhybrid MCDM modelAHPTOPSISWINGS
spellingShingle Kristina Klarić
Ivana Perić
Karla Vukman
Fran Papić
Miljenko Klarić
Petra Grošelj
Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
Systems
furniture manufacturing
FMEA
hybrid MCDM model
AHP
TOPSIS
WINGS
title Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
title_full Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
title_fullStr Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
title_full_unstemmed Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
title_short Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing
title_sort hybrid mcdm fmea model for process optimization a case study in furniture manufacturing
topic furniture manufacturing
FMEA
hybrid MCDM model
AHP
TOPSIS
WINGS
url https://www.mdpi.com/2079-8954/13/1/14
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AT franpapic hybridmcdmfmeamodelforprocessoptimizationacasestudyinfurnituremanufacturing
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