METODE MARKOV CHAIN DALAM PENGENDALIAN PERSEDIAAN UNTUK PERENCANAAN BIAYA PERSEDIAAN BAHAN BAKU PADA TOKO AIRIN BAKERY & CAKE SHOP

Putri Rahma Novia, Fibri Rakhmawati, Rima Aprilia
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Abstract

Airin Bakery & Cake Shop produces various kinds of cakes and bread. This shop is often faced with problems that occur, namely the supply of raw materials that are insufficient or excess so that the production process does not go well. This study aims to determine the ordering capacity and the right time to order raw materials to minimize the total cost of raw material inventory using the silver meal method. The total inventory cost is Rp. 14,637,947.4 less than the cost set by the company. Inventory control, which is a stochastic process, can also be carried out without regard to safety stock, lead time, and reorder points. The stochastic process of total inventory can be described by a finite number of states. The probability of transitions between these states is described by a markov chain. The markov chain method can predict future raw material inventory costs. After making several states on the amount of raw material inventory, a prediction of the future raw material inventory costs of Rp.31.747.932,98 is obtained
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马可夫连锁店的原料成本规划与蛋糕店的原料成本
Airin面包店和蛋糕店生产各种蛋糕和面包。这个车间经常面临出现的问题,即原料供应不足或过剩,使生产过程不能顺利进行。本研究旨在利用银粉法确定原材料的订购量和合适的订购时间,以最小化原材料库存的总成本。总库存成本比公司设定的成本少14,637,947.4 Rp。库存控制是一个随机过程,也可以在不考虑安全库存、交货时间和再订货点的情况下进行。总库存的随机过程可以用有限个数的状态来描述。这些状态之间转换的概率用马尔可夫链来描述。马尔可夫链方法可以预测未来的原材料库存成本。在对原材料库存数量做了几个状态后,得到了Rp.31.747.932,98对未来原材料库存成本的预测
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