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Journal : Jurnal Titra

Pengendalian Persediaan di Distributor Hasil Daniel Kurniawan; Herry Christian Palit
Jurnal Titra Vol 1, No 2 (2013)
Publisher : Jurnal Titra

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Abstract

Hasil distributor runs a building equipment product. The service of this company is dealing with retailer's demand using make to order system. There are some sales difficulties issues in Hasil distributor, therefore in some occasion there will be an unfullfilled demand conditions. Based on issues faced by the Hasil distributor, we do the analysis to control inventory. The analysis is using forecasting method, in order to predict retailer's demand to Hasil distributor in the future. Forecasting method that are used to support the analysis are time series with moving average method, single ex smoothing, double ex smoothing, and winter method. The calculation of EOQ (Economic Order Quantity) multi item will be based on the forecasting result which will be useful for supply control in Hasil distributor and for minimizing the supply cost.The analysis is using the comparison between company method and EOQ multi item method for period of three months. Company method shows 28% fullfilled demand and 72% unfullfilled demand with lost sale IDR. 14,593,936,- while the result from EOQ multi items is 56% fullfilled demand and 44% unfullfilled demand with holding cost IDR. 56.507,-. Based on the above result, EOQ multi item method gives better result than the company method.
Perencanaan Produksi dengan Mempertimbangkan Kapsitas Produksi pada CV. X Daniel Kurniawan; Tanti Octavia
Jurnal Titra Vol 5, No 2 (2017): vol 5 no 2, Juli 2017
Publisher : Jurnal Titra

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Abstract

Production planning, capacity determination and objective value on CV. X only refers to one particular process. The planning method currently used by the company is considered less effective in achieving the company's objective. The purpose of this research is to create a plan that can maximize the achievement of production output by considering production capacity. Based on demand of the past one year, forecast demand for the next three periods conducted, which is June, July and August in 2017. Demand forecast will be used as an input in the preparation of production planning. The method used in this research is aggregate planning. The aggregate planning results are then disaggregated to determine the number of nail for each size that need to be produced and raw material needed in each period.