Open AccessHuman error assessment in batik enterprises located in North Sumatera using HEART method
Author(s) -
Dini Wahyuni,
Lamria Theresa Sinaga,
Irwan Budiman
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/801/1/012103
Subject(s) - business , dyeing , supply chain , indonesian , geography , human resources , excellence , operations management , marketing , engineering , management , political science , economics , linguistics , chemistry , philosophy , organic chemistry , law
Industry of batik has been growing since The United Nations Educational, Scientific and Cultural Organization (UNESCO) established the Indonesian batik as a world cultural heritage on October 2, 2009. Batik’s business began to develop in Java and extended to Sumatra, especially North Sumatra. North Sumatra’s Batik comes with a variety of distinctive ethnic motifs which appear attractive with ornamental motifs from various tribes in Sumatera Utara. In order to improve that industrial excellence, North Sumatra batik SMEs are required to further improve the performance, one of them through the supply chain management which are owned. The role of humans in the supply chain of the batik industry tends to be dominant, due to their role as producers, workers, and consumers. Errors caused by humans that have been found in the North Sumatra’s batik industry, such as design or color mistakes that are not in accordance with the wishes of the customer. This study aims to identify human error in the supply chain of North Sumatra batik SMEs in Medan City by adopting the Supply Chain Operations Reference (SCOR) model, namely plan, source, make, deliver, and return. The data processing was conducted by HEART (Human Error Assessment and Reduction Technique) method. The contribution of this paper is to demonstrate the use of HEART method to analyze human error in North Sumatera’s batik industry. The results of the study showed that the highest human error probability is in the process of batik motif design, cutting fabric, dyeing motif, dyeing cloth, and release wax from cloth.