Journal of Industrial Engineering & Management Research (JIEMAR)
Vol. 1 No. 2 (2020): Agustus 2020

ANALISIS PENGENDALIAN KUALITAS PADA PROSES BONING SAPI WAGYU MENGGUNAKAN STATISTICAL QUALITY CONTROL (SQC) DI PT. SANTOSA AGRINDO

Hendrawan, Dandi (Unknown)
Wirawati, Sri Mukti (Unknown)
Wijaya, Hartadi (Unknown)



Article Info

Publish Date
27 Aug 2020

Abstract

PT. Santosa Agrindo (Abattoir), Kab.Serang-Gunung Kupak, Banten is a company engaged in the supply of processed meat products and beef fattening. One of the products is Wagyu beef which has been boned. This study aims to find the causes of product discrepancies and determine whether the non-conformities that occur are still within control limits or out of control using the Statistical Quality Control (SQC) method. According to the results of the P control chart graph, none of the 12 points is outside the upper or lower control limits. So there is no need for further analysis because everything is still within control limits. Meanwhile, from the results of the Pareto diagram it is known that the most dominant mismatches are 2 (two), namely the findings of feathers and lost vacum with a percentage of hair findings of 65.4% and lost vacum of 28.1%. And based on the highest percentage of mismatches, an analysis was carried out using a cause and effect diagram (fishbone) and it was found that there were several factors causing the mismatch, namely human factors inaccuracy, machine factors, namely old machine age and lack of maintenance, raw material factors, namely raw materials. which has been damaged before use and the method factor, namely the cleaning and trimming process that is not suitable

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Journal Info

Abbrev

jiemar

Publisher

Subject

Humanities Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering

Description

The aim of JIEMAR ( Journal of Industrial Engineering & Management Research is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial engineering ...