Production target achievement model development using binary logistic regression method in PT. Hansae Karawang Indonesia  

Oleh:

Momon S., Ade ; Wijaya, Ikbal

Jenis: Article from Proceeding
Dalam koleksi: PROCEEDING The 8th International Seminar on Industrial Engineering and Management (8th ISIEM). Atria Hotel & Conference, Malang, Indonesia March 17 – 19, 2015, page PS-76.
Topik: binary logistic regression; target production; probability.
Fulltext: Paper 72 Ade Momon - Karawang Singaperbangsa University.pdf (474.07KB)

Isi artikel

PT. Hansae Karawang, Indonesia is one of garment company focusing on apparel exports to several countries in Asia, Europe and America. However in fact, PT Hansae Karawang often deal with some obstacles mainly in export goods delivery, which is frequently unable to meet market orders. This problems raises from unreachable production targets due to some problems associated with production, such as fluctuative number of man power, the machine is not available to operated well as well as working overtime to reach production targets. In this study the authors develop a model regarding production target achievement using binary logistic regression method. Binary logistic regression itself according to Kleinbaum (1994) is a mathematical modeling approach that can be used to explain the relationship between several variables X to response variables Y that are dichotomous or binary. Based on the mathematical model and using the common formulation of logistic regression. It result a mathematical models g(x) = (-132.063) + 0.029 Man power + 4251 availibility machine + 2598 Over time. With this such mathematical model, the author obtain some probabilities for production target achievement in some conditions to obtain the optimal probability.

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