Aplikasi Metode Always Better Control Dan Economic Order Quantity Probabilistik Pada Perencanaaan Dan Pengendalian Barang Jadi

Abstract

Perusahaan dagang merupakan perusahaan yang membeli suatu barang untuk dijual kembali tanpa mengubah bentuk atau sifat barang secara berarti. Hal tersebut mengingat bahwa tujuannnya adalah untuk menjual kembali barang tersebut diatas harga pokok agar mendapat keuntungan. Persediaan baranng di UD. Duta Bangunan mengalami permasalahan stock out dan over stock yang mengakibatkan sering dilakukannya pemesanan secara serentak, sehingga perlu dilakukan analisis pengendalian persediaan barang. Berdasarkan permasalahan diatas, maka metode yang digunakan dalam penelitian ini adalah metode analisis Always Better Control dan Economic Order Quantity Probabilistik. Metode Always Better Control membantu mengelompokkan barang kedalam kelompok A, B, dan C sehingga pihak manajemen dapat mengetahui perlakuan untuk setiap kelompoknya. Metode Economic Order Quantity Probabilistik memperhitungkan lead time dan permintaan barang oleh konsumen yang tidak pasti sehingga di harapkan tidak terjadi stock out dan over stock. Hasil penelitian menunujukkan bahwa terdapat 44 jenis barang (17,19%) barang yang tergolong kelompok A dengan penggunaan anggaran sebesar 49,95% dari total investasi barang. Kelompok B terdapat 80 jenis barang (31,25%) dengan penggunaan anggaran sebesar 30,69% dari total investasi barang. Sedangkan kelompok C terdapat 132 jenis barang (51,56%) dari seluruh barang dengan penggunaan anggaran sebesar 19,36% dari total investasi barang. Jumlah pemesanan optimal untuk kelompok A bervariasi mulai dari 6-771 unit, kelompok B bervariasi mulai dari 7-125 unit, dan kelompok C bervariasi mulai dari 13-760 unit. Sedangkan untuk ROP kelompok A bervariasi antara 1-687 unit, kelompok B bervariasi antara 1-21 unit, dan kelompok C bervariasi antara 1-43 unit. Untuk safety stock barang kelompok A bervariasi antara 0-37 unit, untuk kelompok B bervariasi antara 0-6 unit, dan untuk kelompok C bervariasi antara 0-15 unit.

Reducing Spare Part Inventory Cost with Shortage Elimination through Probabilistic Economic Order Quantity

“…Probabilistic EOQ is defined as the optimal ordered quantity that minimizes the total inventory cost (Chopra and Meindl, 2004). This model can be used in various situations, such as (i) the demand is certainly known, but the lead time is not certainly known, (ii) the demand is not certainly known, but the lead time is certainly known, or (iii) the demand as well as the lead time is not certainly known (Aprilia, Dahda and Ismiyah, 2020). According to Aprilia, Dahda, and Ismiyah (2020), the Probabilistic EOQ is calculated based on this following formula: with the additional information: EOQ = optimal ordered quantity D = demand S = ordering cost per order H = carrying cost per unit The calculation of safety stock on Probabilistic EOQ plays an important role in preventing shortage.…”

“…This model can be used in various situations, such as (i) the demand is certainly known, but the lead time is not certainly known, (ii) the demand is not certainly known, but the lead time is certainly known, or (iii) the demand as well as the lead time is not certainly known (Aprilia, Dahda and Ismiyah, 2020). According to Aprilia, Dahda, and Ismiyah (2020), the Probabilistic EOQ is calculated based on this following formula: with the additional information: EOQ = optimal ordered quantity D = demand S = ordering cost per order H = carrying cost per unit The calculation of safety stock on Probabilistic EOQ plays an important role in preventing shortage. Safety stock in an inventory that is prepared to anticipate any discrepancies between forecasting and actual demand, expected and actual lead time, and other unexpected events to minimize the possibility of shortage (Putri, 2011).…”

“…Reorder point is a time when the company has to reorder so that the arrival of the ordered spare parts can be on time. To be on time, the calculation of reorder point is carried out by considering lead time and safety stock (Aprilia, Dahda and Ismiyah, 2020). Table 4 provides information regarding reorder points for each spare part.…”

“…Probabilistic Economic Order Quantity (Probabilistic EOQ) is an appropriate inventory control model used in conditions of highly fluctuating demand and shortage (Eroglu and Ozdemir, 2007). Probabilistic EOQ requires companies to calculate safety stock to reduce the risk of shortage and anticipate fluctuating demand (Aprilia, Dahda and Ismiyah, 2020). This model allows the companies to determine the reorder point, the optimal ordered quantity, and the probability of shortage by calculating the number of safety stock (Trisnawati, 2016).…”

“…This model allows the companies to determine the reorder point, the optimal ordered quantity, and the probability of shortage by calculating the number of safety stock (Trisnawati, 2016). Previous research has shown that companies implementing probabilistic EOQ as their inventory control model are able to place the optimal quantity ordered and achieve inventory cost reduction (Tannady, H ;Pratama, Y., 2019;Kartika and Bakti, 2020;Jung and Klein, 2005;Aprilia, Dahda and Ismiyah, 2020;Eroglu and Ozdemir, 2007).…”