Appling Digital Transformation in Intelligent Production Planning of Vietnam’s Garment Industry

Currently, the 4.0 industrial revolution is taking place across the globe, and digital transformation is considered a revolution to change how businesses operate and business models fundamentally. In Vietnam, the industrial garment manufacturing sector accounts for 12−16% of the country’s total export turnover, accounting for 5.2% of the global market share. This paper presents the digital transformation in industrial garment production using IoT devices to collect production data on sewing lines and methods to digitize the sewing line data industry. After digitizing the sewing line data, the paper proposes an intelligent planning method to improve production efficiency and reduce the time to execute garment contracts. The planning method is based on applying the Real-RCPSP problem combined with the Cuckoo Search algorithm to find a feasible schedule for assigning the resources executing tasks. The experiment results show that the garment contract execution time decreased from 5.97% to 33.99%, depending on the dataset.