Integrating Digitalized Data and Optimization Method for Automated Production Planning in Sewing Lines

Dang Quoc Huu; Le Viet Ha; Tran Thi Nhung; Han Minh Phuong

doi:10.15379/ijmst.v11i1.3465

Author(s)

Dang Quoc Huu Faculty of Economic Information System and E-Commerce, Thuongmai University, Ha Noi

Le Viet Ha Faculty of Economic Information System and E-Commerce, Thuongmai University, Ha Noi

Tran Thi Nhung Faculty of Economic Information System and E-Commerce, Thuongmai University, Ha Noi

Han Minh Phuong Faculty of Economic Information System and E-Commerce, Thuongmai University, Ha Noi

Abstract

The current global landscape is undergoing a dynamic evolution marked by the onset of the 4th Industrial Revolution. This epochal transformation emphasizes digital transformation as a revolutionary catalyst, fundamentally reshaping businesses. The research presents the digital transformation in industrial sewing manufacturing by applying the Internet of Things (IoT) devices for comprehensive production data collection from sewing lines, alongside integrating data digitization techniques in the industrial sewing process. Moreover, from the data collected, the article proposes an automatic production planning method based on applying a scheduling problem combined with optimization algorithms. Based on that method, it will improve production management efficiency, competitiveness, and labor productivity, creating conditions for sustainable development and promoting global integration.

Publication Details

Page(s) 1-11

DOI 10.15379/ijmst.v11i1.3465

Published Journal: International Journal of Membrane Science and Technology, Volume: 11, Issue: 1, Year: 2024

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Keywords

Digital Transformation, PSO algorithm, Project Scheduling Problem, Optimization Algorithm

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