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MEASURING PRODUCTIVITY INDEX WITH OBJECTIVE MATRIX (OMAX) METHOD IN THE DIECASTING ALUMINUM INDUSTRY

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.9, No. 3)

Publication Date:

Authors : ; ;

Page : 13-22

Keywords : Productivity; Objective Matrix (OMAX); Traffic Light System (TLS)& Management Control;

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Abstract

Productivity in the manufacturing industry has a very important role, the manufacturing industry must have good productivity, this aims to improve the quality of the company and also increase profits for the company. The diecasting aluminum industry is one of the industries that have a high level of complexity ranging from high defective products, the mold was an overshoot, frequently changing production plans and high employee absence rates. But, the diecasting aluminum industry has the advantage that defective products can be re-melted as raw material. Every company must be able to know the factors that cause low productivity and the first step that must be done is to measure productivity itself, to measure productivity can be done using the Objective Matrix (OMAX) method after the level of productivity is known then looking for factors that cause low productivity, the factors causing low productivity are carried out by the method of Traffic Light System (TLS). The standard productivity index value on the OMAX method is 300, where this value is at the level of score 3. For the Traffic Light System method, the color indicator is green, yellow, and red. For factors that cause low productivity are given a red color with score levels ranging from level 0 to level 2 in the OMAX table. During 2017, there were three months, which had a value of productivity below the standard, namely in June (-0.02), November (-0.35), and December (-063) and the main factors that cause low productivity are high employee absence rates, and also high machine downtime.

Last modified: 2019-07-18 19:53:46