Abstract
In the inventory system is given operational policies relating to product inventory control, such as how much is ordered, when to order with the aim of minimizing storage and ordering costs. Customer demand and lead time affect the inventory system. This study aims to determine the densitas distribution of demand data, total inventory costs and optimal coconut supply for the two order periods using the stochastic inventory model. Stochastic inventory models can be used if there is variable uncertainty. This paper discusses the optimization of coconut inventories using a stochastic model with uncertainty about demand and lead time. It is known that demand data is uniformly distributed, based on the realization value of random variable requests can be formed in 49 scenarios. Obtained an optimal total inventory cost for the two planning periods is Rp. 45,672,910, optimal supply for period one was 26031 coconuts. Inventory levels in two period for any scenarios are
Highlights
In the inventory system is given operational policies relating to product inventory control, such as how much is ordered, when to order with the aim of minimizing storage and ordering costs
This study aims to determine the densitas distribution of demand data, total inventory costs and optimal coconut supply for the two order periods using the stochastic inventory model
International Journal of Production Economics, 196, 56–67
Summary
Pada sistem persediaan atau inventori diberikan kebijakan operasional yang berkaitan dengan pengendalian penyimpanan produk, seperti berapa banyak yang dipesan, kapan waktu pemesanan dengan tujuan meminimumkan biaya penyimpanan dan pemesanan. Konsep inventori stokastik dapat diterapkan pada permasalahan inventori dengan ketidakpastian. (Azadi at al, 2019) memperkenalkan model inventori stokastik pada permasalahan inventori produk yang mudah ruasak (Perishable). Penelitian sebelumnya membahas permasalahan inventori stokastik dengan mempertimbangkan ketidakpastian permintaan ataupun ketidakpastian waktu tunggu (lead time). Ketidakpastian permintaan dan waktu tunggu dibahas oleh (Rahdar, Wang, & Hu, 2018). Berikut diberikan model stokastik yang diperkenalkan oleh (Rahdar, Wang, & Hu, 2018). Penelitian ini bertujuan untuk mengetahui distribusi peluang dari data permintaan, total biaya persediaan dan persediaan kelapa optimal di tingkat distributor yang berlokasi di kota Palembang selama dua periode pemesanan menggunakan model persediaan stokastik yang diperkenalkan oleh (Rahdar, Wang, & Hu, 2018). Terdapat ketidakpastian permintaan pelanggan dan waktu tunggu kelapa sampai pada distributor sehingga model stokastik dapat digunakan pada optimasi persediaan
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