Open AccessMultivariate capability indices in inventory control
Author(s) -
Mustafid Mustafid,
Dwi Ispriyanti,
Sugito Sugito,
Arif Rahman Hakim
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1524/1/012095
Subject(s) - multivariate statistics , multivariate analysis , control chart , quality (philosophy) , radar chart , control (management) , clothing , computer science , statistics , mathematics , philosophy , process (computing) , epistemology , artificial intelligence , operating system , archaeology , history
Inventory control in the industry has an important role in supply chain management to produce products according to management standards or quality standards based on consumer demand. In the apparel industry, inventory control is adjusted to the type of apparel product according to consumer demand. The research aims are to derive a multivariate inventory control model with multivariate capability analysis based on several types of apparel products as quality characteristics. The method in the research uses the T 2 Hotelling multivariate control chart and the multivariate capability indices for analysis apparel inventory control by management specification standards. We derived the T 2 Hotelling multivariate control chart and the multivariate capability indices using data with the assumption that multivariate data are controlled and has multivariate normal distribution Variable research uses quality characteristics that are grouped into two types of apparel products. This model is useful as a multivariate inventory control model that can manage the amount of production and supply of products based on probabilistic consumer demand.