Artificial Intelligence and Image Processing for Semi-finished Goods Inventory Management in Textile Industry

M. Paşa Gültaş

Article Details

Artificial Intelligence and Image Processing for Semi-finished Goods Inventory Management in Textile Industry

Authors:

M. Paşa Gültaş

Publisher:

Selcuk University

Main Topics:

Yazılım Mühendisliği (Diğer)

Journal:

Selçuk Üniversitesi Sosyal ve Teknik Araştırmalar Dergisi Issue 25, pp.20-33

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001353175

pISSN:

2146-7226

Keywords:

Abstract:

 This study investigates the application of artificial intelligence AI and image processing technologies within the textile industry, specifically focusing on optimizing production processes. The primary aim was to assess the impact of AI and image processing systems on inventory management of semi-finished products, production efficiency, and labor optimization. Findings indicate substantial improvements, including a decrease in stock discrepancies, higher on-time tracking rates, significant time savings in production, and reduced labor costs. Further analysis highlights the financial advantages of technological integration, particularly in lowering production expenses. This research contributes to the literature by demonstrating the practical benefits of these technologies in production management, offering insights that could be applicable across other manufacturing sectors. Future research should explore the wider adoption of AI and image processing technologies across various industries and investigate their potential environmental impacts within production processes.

 This study investigates the application of artificial intelligence AI and image processing technologies within the textile industry, specifically focusing on optimizing production processes. The primary aim was to assess the impact of AI and image processing systems on inventory management of semi-finished products, production efficiency, and labor optimization. Findings indicate substantial improvements, including a decrease in stock discrepancies, higher on-time tracking rates, significant time savings in production, and reduced labor costs. Further analysis highlights the financial advantages of technological integration, particularly in lowering production expenses. This research contributes to the literature by demonstrating the practical benefits of these technologies in production management, offering insights that could be applicable across other manufacturing sectors. Future research should explore the wider adoption of AI and image processing technologies across various industries and investigate their potential environmental impacts within production processes.

 This study investigates the application of artificial intelligence AI and image processing technologies within the textile industry, specifically focusing on optimizing production processes. The primary aim was to assess the impact of AI and image processing systems on inventory management of semi-finished products, production efficiency, and labor optimization. Findings indicate substantial improvements, including a decrease in stock discrepancies, higher on-time tracking rates, significant time savings in production, and reduced labor costs. Further analysis highlights the financial advantages of technological integration, particularly in lowering production expenses. This research contributes to the literature by demonstrating the practical benefits of these technologies in production management, offering insights that could be applicable across other manufacturing sectors. Future research should explore the wider adoption of AI and image processing technologies across various industries and investigate their potential environmental impacts within production processes.

 Bu çalışmada, yapay zekâ AI ve görüntü işleme teknolojilerinin tekstil endüstrisine entegrasyonunu ve üretim süreçlerinin optimizasyonuna odaklanılmıştır. Bu araştırmanın temel amacı, yapay zekâ ve görüntü işleme sistemlerinin uygulanmasını takiben yarı mamul envanter yönetimi, üretim verimliliği ve işgücü optimizasyonundaki gelişmeleri incelemektir. Sonuçlar, stok hatalarında önemli azalmalar, zamanında takip oranlarının arttığını, çeşitli üretim süreçlerinde önemli zaman tasarrufu sağladığını ve işçilik maliyetlerinde kayda değer bir azalma olduğunu ortaya koymuştur. Ayrıca üretim maliyetleri düşmüştür ve bu da teknolojik entegrasyonun olumlu finansal etkisini göstermiştir. Bu araştırma, üretim yönetiminde yapay zekâ ve görüntü işlemenin pratik bir uygulamasını sağlayarak, bu teknolojilerin operasyonel verimliliği nasıl artırabileceğini ve maliyetleri nasıl azaltabileceğini göstererek mevcut literatüre katkıda bulunmaktadır. Bulgular, diğer imalat sektörlerinin de benzer teknolojik gelişmelerden yararlanabileceğini ve hem araştırmacılar hem de endüstri uygulayıcıları için değerli bilgiler sağlayabileceğini göstermektedir. Gelecekteki araştırmalar, bu teknolojilerin farklı endüstrilerde daha geniş uygulamalarına odaklanmanın yanı sıra, üretim süreçlerinde yapay zekâ ve görüntü işlemenin çevresel etkilerini keşfetmeye odaklanabilir.

Article Details

Artificial Intelligence and Image Processing for Semi-finished Goods Inventory Management in Textile Industry

Authors:

M. Paşa Gültaş

Publisher:

Selcuk University

Main Topics:

Yazılım Mühendisliği (Diğer)

Journal:

Selçuk Üniversitesi Sosyal ve Teknik Araştırmalar Dergisi Issue 25, pp.20-33

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001353175

pISSN:

2146-7226

Digital Transformation

Production Management

Artificial Intelligence

Image Processing

Textile IndustryDijital Dönüşüm

Üretim Yönetimi

Yapay Zekâ

Görüntü İşleme

Tekstil Endüstrisi

Issues

Article Details

Authors: M. Paşa Gültaş

Publisher: Selcuk University

Main Topics: Yazılım Mühendisliği (Diğer)

Journal: Selçuk Üniversitesi Sosyal ve Teknik Araştırmalar Dergisi Issue 25, pp.20-33

Document Type: Article

Publication Date: 6/2025

Document Language: English

Document ID (Org No.): 2001353175

pISSN: 2146-7226

Issues

Authors:

M. Paşa Gültaş

Publisher:

Selcuk University

Main Topics:

Yazılım Mühendisliği (Diğer)

Journal:

Selçuk Üniversitesi Sosyal ve Teknik Araştırmalar Dergisi Issue 25, pp.20-33

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001353175

pISSN:

2146-7226