Multi-Criteria Decision-Making Using Fuzzy Logic for Production Order Planning in a Garment Workshop

This work presents a new approach to introducing a new product in a production workshop, taking into account the products already introduced in the production lines. The proposal is based on a study of the skill requirements of the workforce and the mechanical modifications of the product, with a multi-criteria decision-making process using fuzzy logic. This approach makes it possible to select the most suitable production line, minimise the number of machine changes, and reduce the time required to adapt the workforce, while ensuring the shortest possible order processing time.

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Published
2025-07-30
DOI
https://doi.org/10.3390/engproc2025097053
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Multi-Criteria Decision-Making Using Fuzzy Logic for Production Order Planning in a Garment Workshop

Bessem Kordoghli, Mustapha Ahlaqqach, Amel Babay, Mustapha Hlyal
Manufacturing Process and Optimization
article

Multi-Criteria Decision-Making Using Fuzzy Logic for Production Order Planning in a Garment Workshop

Bessem Kordoghli, Mustapha Ahlaqqach, Amel Babay, Mustapha Hlyal
article en

Abstract

This work presents a new approach to introducing a new product in a production workshop, taking into account the products already introduced in the production lines. The proposal is based on a study of the skill requirements of the workforce and the mechanical modifications of the product, with a multi-criteria decision-making process using fuzzy logic. This approach makes it possible to select the most suitable production line, minimise the number of machine changes, and reduce the time required to adapt the workforce, while ensuring the shortest possible order processing time.

University of Monastir (TN), École Supérieure des Industries du Textile et de l'Habillement (MA), University of Hassan II Casablanca (MA)
Peace, Justice and strong institutions
Openalex Percentile: Top 73%
Manufacturing Process and Optimization
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