Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence
Industrial companies aim to minimise production costs and improve product quality by analysing work organisation levels. Workshop scheduling and line balancing are essential in realising production plans, particularly in the fashion industry. Balancing systems must optimise precise criteria while s...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Ljubljana Press (Založba Univerze v Ljubljani)
2024-09-01
|
| Series: | Tekstilec |
| Subjects: | |
| Online Access: | https://journals.uni-lj.si/tekstilec/article/view/17250 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849319342506770432 |
|---|---|
| author | May Alrasheed Mohamed Jmali Thouraya Hamdi |
| author_facet | May Alrasheed Mohamed Jmali Thouraya Hamdi |
| author_sort | May Alrasheed |
| collection | DOAJ |
| description |
Industrial companies aim to minimise production costs and improve product quality by analysing work organisation levels. Workshop scheduling and line balancing are essential in realising production plans, particularly in the fashion industry. Balancing systems must optimise precise criteria while sticking to constraints. Preserving balance needs precise parameters that align theoretical and practical production results. Manual methods overlook the balancing process, where managers rely on experience to prove balance and adjust parameters as needed. This article presents a creative automatic balancing application for fashion companies, leveraging artificial intelligence’s (AI) power. It focuses on utilising ant colony algorithms for optimal balancing. The results show the significance of these algorithms in attaining optimal balancing in production systems. The article highlights outstanding balancing results achieved through this approach, providing alignment with detailed criteria and constraints. The algorithm reliably distributes tasks among operators, improving overall productivity. Therefore, ant colony algorithms are perfect for manufacturers pursuing cost reduction, improved product quality and facilitated production processes. This article introduces an AI-based automatic balancing application for fashion companies. The ant colony algorithms achieve optimal balancing, improve inventory management and enhance productivity.
|
| format | Article |
| id | doaj-art-940b8914e3484ababa6fcd17ea956ccc |
| institution | Kabale University |
| issn | 0351-3386 2350-3696 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | University of Ljubljana Press (Založba Univerze v Ljubljani) |
| record_format | Article |
| series | Tekstilec |
| spelling | doaj-art-940b8914e3484ababa6fcd17ea956ccc2025-08-20T03:50:31ZengUniversity of Ljubljana Press (Založba Univerze v Ljubljani)Tekstilec0351-33862350-36962024-09-0167310.14502/tekstilec.66.2024009Development of Automatic Balancing Application forFashion Company Using Artificial IntelligenceMay Alrasheed0https://orcid.org/0000-0002-9482-0944Mohamed Jmali1https://orcid.org/0000-0002-5148-1751Thouraya Hamdi2https://orcid.org/0000-0002-7573-0695Department of Fashion and Textile Design, College of Arts and Design, Princess Nourah bint Abdulrahman University, Riyadh, Saudi ArabiaDepartment of Fashion and Textile Design, College of Arts and Design, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia; Textile Engineering Laboratory, University of Monastir, Monastir, TunisiaDepartment of Fashion and Textile Design, College of Arts and Design, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia Industrial companies aim to minimise production costs and improve product quality by analysing work organisation levels. Workshop scheduling and line balancing are essential in realising production plans, particularly in the fashion industry. Balancing systems must optimise precise criteria while sticking to constraints. Preserving balance needs precise parameters that align theoretical and practical production results. Manual methods overlook the balancing process, where managers rely on experience to prove balance and adjust parameters as needed. This article presents a creative automatic balancing application for fashion companies, leveraging artificial intelligence’s (AI) power. It focuses on utilising ant colony algorithms for optimal balancing. The results show the significance of these algorithms in attaining optimal balancing in production systems. The article highlights outstanding balancing results achieved through this approach, providing alignment with detailed criteria and constraints. The algorithm reliably distributes tasks among operators, improving overall productivity. Therefore, ant colony algorithms are perfect for manufacturers pursuing cost reduction, improved product quality and facilitated production processes. This article introduces an AI-based automatic balancing application for fashion companies. The ant colony algorithms achieve optimal balancing, improve inventory management and enhance productivity. https://journals.uni-lj.si/tekstilec/article/view/17250automatic balancingfashion companyartificial intelligenceant colony method |
| spellingShingle | May Alrasheed Mohamed Jmali Thouraya Hamdi Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence Tekstilec automatic balancing fashion company artificial intelligence ant colony method |
| title | Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence |
| title_full | Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence |
| title_fullStr | Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence |
| title_full_unstemmed | Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence |
| title_short | Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence |
| title_sort | development of automatic balancing application forfashion company using artificial intelligence |
| topic | automatic balancing fashion company artificial intelligence ant colony method |
| url | https://journals.uni-lj.si/tekstilec/article/view/17250 |
| work_keys_str_mv | AT mayalrasheed developmentofautomaticbalancingapplicationforfashioncompanyusingartificialintelligence AT mohamedjmali developmentofautomaticbalancingapplicationforfashioncompanyusingartificialintelligence AT thourayahamdi developmentofautomaticbalancingapplicationforfashioncompanyusingartificialintelligence |