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Journal : Jurnal Titra

Standarisasi Lintasan Kerja Penjahitan Sepatu pada PT XYZ Cerianto Chandra; I Gede Agus Widyadana
Jurnal Titra Vol 5, No 2 (2017): vol 5 no 2, Juli 2017
Publisher : Jurnal Titra

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Abstract

PT. XYZ is a company engaged in manufacturing shoes. Work line at PT. XYZ have two varies cause many differences. The purpose of this study is to standardize the existing work line on PT.XYZ with the same number of people in the work line. The research was done by getting the raw time of shoes, shoe making sequence, production capacity, and working hours. Determination of the number of operators is done by line balancing in the hope that the number of people selected can have the desired line balance variance. Layout arrangements are required to support the selection of proposed work line. The results of the analysis show that the number of operators is 47 people with line balance variance of 92%. The total capacity that can be obtained with 47 people is 69613 pairs, greater than the current total production of 69493. The number of required operators reduced 40 people compared with the current conditions. The required investment cost is Rp. 1,849,070,000
Production Stock Optimization in PEL Plant Schneider Electric Manufacturing Batam Puji Lestari; I Gede Agus Widyadana
Jurnal Titra Vol 5, No 2 (2017): vol 5 no 2, Juli 2017
Publisher : Jurnal Titra

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Abstract

Schneider Electric Manufacturing Batam is a company in an electrical field that has an issue about inventory control; especially Stock L. Stock L is a stock of raw materials that are in the production area. This research heads on searching the optimal value of Stock L as the first step to reduce the causes and determine the suitable days of inventory for PEL. Finished goods that are on PEL control are classified into their families and the optimal value of Stock L is obtained using base stock level method and company calculation. Both these methods are not significantly different from its Two Sample T-Test result. Using base stock level, the value of Stock L can be reduced about 60.59% while using company calculation, the reduction of Stock L is about 63.42%. The suitable DIN for PEL is about 3 days. 
Pembagian Peti Kemas Kosong di PT. X Brigitte Trista Indah Yudhiana Sutrisno; I Gede Agus Widyadana
Jurnal Titra Vol 5, No 2 (2017): vol 5 no 2, Juli 2017
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.653 KB)

Abstract

PT. X is a company engaged in the field of shipping by providing services in the form of container rental and send the container to the ship owned by the company. The loading and un­loading of containers from aboard requires a document called Unloading Order, containing the sta­tus, quantity, and destination of the depot from the unloaded container. The distribution of emp­­ty containers is currently only done based on estimates so that there is repositioning from one depot to another because it does not have the required containers. The purpose of the re­se­arch is to find the minimum inventory value that can be used as a reference to the distribution of emp­ty containers to the depots so as to reduce the repositioning. The repositioning cost incurred by the company in 2016 is Rp 284.000.000,00 only for fuel expenditure. The minimum inventory values search using simulation methods in Excel. The simulation is an improvement model of the current condition. The model of improvement performed is the empty container distribution is done based on the difference between the current inventory amount and the minimum inventory value which is the decision variable.In addition, repositioning is also done if the depot has in­ven­to­ry amount below minimum inventory value or above depot capacity. Improved mo­dels­ can eli­mi­nate repositioning due to lack of containers. The minimum inventory value ob­tain­ed­ ­from the si­mulation for Depot 4 has an average of 107 units, Depot 8 is 50 units, and De­pot Jap­fa is 266 units. The average value is a combination of the three empty container grades, A, B, and C. The mi­nimum inventory values obtained from the simulation are then put into Unloading Order to facilitate the distribution of empty containers.