scholarly journals IMPLEMENTASI MODEL STOKASTIK PADA PERMASALAHAN OPTIMASI PERSEDIAAN KELAPA PADA TINGKAT DISTRIBUTOR

2020 ◽  
Vol 9 (1) ◽  
pp. 90
Author(s):  
NOVI RUSTIANA DEWI ◽  
EKA SUSANTI ◽  
BAMBANG SUPRIHATIN ◽  
AGUSTINA BIDARTI ◽  
SINTA ELPATRIKA ABELIA ◽  
...  
Keyword(s):  
Lead Time ◽  
Random Variable ◽  
Inventory System ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Stochastic Inventory ◽  
Stochastic Inventory Model ◽  
Total Inventory ◽  
Stochastic Inventory Models ◽  
Product Inventory

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

THE EFFECT OF LEAD-TIME ON THE SUPPLY CHAIN: THE MEAN VERSUS THE VARIANCE

2011 ◽  
Vol 10 (01) ◽  
pp. 175-185 ◽  
Author(s):  
XIN JAMES HE ◽  
XIAOBO XU ◽  
JACK C. HAYYA
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Inventory Systems ◽  
Time Variability ◽  
Inventory Cost ◽  
Safety Stock ◽  
Stochastic Inventory ◽  
Q Model ◽  
Total Inventory ◽  
The Mean

In a study on stochastic inventory systems, Chopra et al. (Decision Sciences35(1) (2004) 1–24) argue that decreasing lead time is the right lever if they want to cut inventories, not reducing lead time variability. According to Chopra et al., reducing the mean lead time, μ, is more important than reducing the lead time variance, σ2, to reduce total inventory cost via a reduced safety stock. This paper is a criticism of Chopra et al., where the optimal z was derived based upon a predetermined Q, instead of solving the optimal z and Q simultaneously in a (z, Q) inventory system. We argue that such an approach is inappropriate because the two decision variables, z and Q, are in general interdependent, and, moreover, reducing reorder point (safety stock), z, does not necessarily decrease the total inventory cost. We demonstrate by means of a truncated lead time (z, Q) model that it is lead time variability, not mean lead time, that affects the inventory policy and total supply chain cost.

scholarly journals Analysis Of Stock Control Of Raw Materials Of Dzohir Noodles In Bengkulu

2022 ◽  
Vol 3 (1) ◽  
Author(s):  
Monika Ahmelia ◽  
Herlin Herlin ◽  
Abdul Rahman
Keyword(s):  
Wheat Flour ◽  
Lead Time ◽  
Raw Materials ◽  
Raw Material ◽  
Inventory Cost ◽  
Safety Stock ◽  
Stock Control ◽  
Inventory Costs ◽  
Total Inventory ◽  
Research Period

This study aims to analyze the stock inventory control of Mie Dzohir's raw materials in Bengkulu. The analytical method used is Economic Order Quantity (EOQ), Reorder Point (ROP), Total Inventory Cost (TIC) and Safety Stock (SS). The results showed that to meet the raw material needs of 91,375 kg during the research period, from January 2020 to December 2020 (12 months), the number of economical purchases/EOQ of wheat flour raw materials that had to be made by the Mie Dzohir factory in Bengkulu was as much as 5,372 kg for each order with a purchase frequency of 17 times for a period from January 2020 to December 2020. Reorders or reorder points (ROP) can also be determined, namely reordering should be done when 345 kg of inventory is in warehouse, with a lead time of 1 days so as not to hamper the company's production process. The total inventory cost (TIC) can also be determined, namely the total cost of raw material inventory of Rp. 3.572.188, - therefore, it can save on inventory costs of Rp. 1.051.697,- .Safety stock (SS) of 95 kg which must be in the warehouse, this is intended therefore, there is no shortage of wheat flour raw materials if there is a delay in the delivery of raw materials.

scholarly journals Analisis Pengendalian Persediaan Bahan Baku dengan Menerapkan Metode EOQ (Economic Order Quantity) pada PT. Jatisari Furniture Work

2021 ◽  
Vol 5 (1) ◽  
pp. 215
Author(s):  
Arga Sutrisna ◽  
Rizki Ginanjar ◽  
Suci Putri Lestari
Keyword(s):  
Production Costs ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Analysis Tool ◽  
Order Quantity ◽  
Inventory Cost ◽  
Total Cost ◽  
Inventory Costs ◽  
Total Inventory

This research objectives aims to determine and analyze raw material inventory control, the ideal raw material inventory that the company must provide and the efficiency of production costs carried out by Jatisri Furniture Work in Tasikmalaya for the period 2018.11 – 2020.02. The data collection method in this study is by direct observation at Jatisari Furniture Work in Tasikmalaya. Using techniques such us interviews, observation, and documentation. These observations were made in production reports for the years 2018 – 2020. The analysis tool was carried out using the Economic Order Quantity (EOQ) method such us safety stock, reorder point, and total inventory cost. The result of the Economic Order Quantity (EOQ) analysis show that the total cost of raw the material inventory that must be incurred by the company is greater than the total cost of inventories calculated according to the EOQ method. Companies should follow the calculations from the EOQ method so that they can save on raw material inventory costs, so that production costs are more efficient.

scholarly journals Inventory model for deteriorating items with negative exponential demand, probabilistic deterioration and fuzzy lead time under partial back logging

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Nabendu Sen ◽  
Sumit Saha
Keyword(s):  
Inventory Management ◽  
Lead Time ◽  
Probability Distributions ◽  
Optimal Strategies ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Optimal Time ◽  
Inventory Cost ◽  
Total Inventory ◽  
Negative Exponential

The effect of lead time plays an important role in inventory management. It is also important to study the optimal strategies when the lead time is not precisely known to the decision makers. The aim of this paper is to examine the inventory model for deteriorating items with fuzzy lead time, negative exponential demand, and partially backlogged shortages. This model is unique in its nature due to probabilistic deterioration along with fuzzy lead time. The fuzzy lead time is assumed to be triangular, parabolic, trapezoidal numbers and the graded mean integration representation method is used for the defuzzification purpose. Moreover, three different types of probability distributions, namely uniform, triangular and Beta are used for rate of deterioration to find optimal time and associated total inventory cost. The developed model is validated numerically and values of optimal time and total inventory cost are given in tabular form, corresponding to different probability distribution and fuzzy lead-time. The sensitivity analysis is performed on variation of key parameters to observe its effect on the developed model. Graphical representations are also given in support of derived optimal inventory cost vs. time.

scholarly journals ANALISIS KINERJA MANAJEMEN PERSEDIAAN DI BARJAZ COMPANY MENGGUNAKAN PENDEKATAN EOQ

2018 ◽  
Vol 8 (1) ◽  
pp. 203
Author(s):  
I Made Antony Dwi Putra ◽  
Agoes Ganesha Rahyuda
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Study Data ◽  
Inventory System ◽  
Raw Material ◽  
Inventory Cost ◽  
Safety Stock ◽  
Analysis Techniques ◽  
Inventory Turnover ◽  
Total Inventory

A large amount of inventory in the company makes high inventory cost, while low inventory will risk the occurrence of shortage of inventory. The research was conducted at Barjaz Company, to find out how the raw material inventory system applied by the company, and whether the system is efficient or not. Methods of data collection is done by conducting interviews to parties related to inventory and observation on the object under study. Data analysis techniques used are; EOQ analysis, determining safety stock, determining reorder point, determining maximum inventory, calculating inventory turnover and calculating total inventory cost. The results show that the inventory system applied today is still not effective. Companies should conduct inventory control system using EOQ method. With the implementation of EOQ, the company's inventory turnover value increased and the company issued a total inventory cost of Rp 1,099,982, lower than the company's inventory control system at Rp 1,671,100.

scholarly journals Simulation-Based Optimization of a Two-Echelon Continuous Review Inventory Model with Lot Size-Dependent Lead Time

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1014
Author(s):  
Ibrahim Alharkan ◽  
Mustafa Saleh ◽  
Mageed Ghaleb ◽  
Abdulsalam Farhan ◽  
Ahmed Badwelan
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Shop Floor ◽  
Lot Size ◽  
Continuous Review ◽  
Inventory Costs ◽  
Size Dependent ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Total Inventory

This study analyzes a stochastic continuous review inventory system (Q,r) using a simulation-based optimization model. The lead time depends on lot size, unit production time, setup time, and a shop floor factor that represents moving, waiting, and lot size inspection times. A simulation-based model is proposed for optimizing order quantity (Q) and reorder point (r) that minimize the total inventory costs (holding, backlogging, and ordering costs) in a two-echelon supply chain, which consists of two identical retailers, a distributor, and a supplier. The simulation model is created with Arena software and validated using an analytical model. The model is interfaced with the OptQuest optimization tool, which is embedded in the Arena software, to search for the least cost lot sizes and reorder points. The proposed model is designed for general demand distributions that are too complex to be solved analytically. Hence, for the first time, the present study considers the stochastic inventory continuous review policy (Q,r) in a two-echelon supply chain system with lot size-dependent lead time L(Q). An experimental study is conducted, and results are provided to assess the developed model. Results show that the optimized Q and r for different distributions of daily demand are not the same even if the associated total inventory costs are close to each other.

Economic Order Quantity Model for Minimizing Total Inventory Cost at PT PQR in Indonesia

2015 ◽  
Vol 21 (4) ◽  
pp. 1053-1056
Author(s):  
Bachtiar H. Simamora
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Traditional Practice ◽  
Inventory Costs ◽  
Eoq Model ◽  
Total Inventory

The purpose of this research is to see whether an Economic Order Quantity model can be used to reduce cost of inventory significantly in PT PQR, manufacturer of spring and sponge mattresses in Pekanbaru, Indonesia. The research was conducted on three main materials required in producing spring and sponge mattresses. Using Economic Order Quantity (EOQ) model to analyze historical demand on main materials, it is proven that with EOQ model the company can save by more than 45% from procuring and inventory costs of those materials. The research continues to forecast the sales demand to get the annual requirement of materials needed in 2014 and calculate the EOQ model again. The results show that, comparing with traditional practice done by company, EOQ model can reduce costs up to 118 million rupiah per year.

Review on Inventory Controlling of Building Materials Supply Chain from Uncertainty Demands in Civil Engineering

2012 ◽  
Vol 174-177 ◽  
pp. 3441-3443
Author(s):  
Bin Yang
Keyword(s):  
Supply Chain ◽  
Building Materials ◽  
Simulated Annealing Algorithm ◽  
Supply And Demand ◽  
Cost Models ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Total Inventory ◽  
Annealing Algorithm ◽  
The Difference

Inventory control is a necessary strategy that enterprises use to offset the effect of uncertainties in manufacturing, supply and demand. Normally, probability distribution is used to analyze the uncertainty problems, however, this analysis can’t be completed with inadequate data, resulting in an increase in inventory costs. The paper establishes inventory cost models of single supply chain member under uncertainty demands and applies Simulated Annealing Algorithm to imitate the models in 52 weeks to seek for the optimal speaking for amount and anew speaking for point so that compares the difference of supply chain total inventory cost and the sufficing rate of order for goods between independently and collaborated controlling strategy in supply chain, and in order to provide the necessary theoretical supports for the enterprises to establish supply chain partnerships and possibly improve the supply chain capability of providing external integration.

Sign in / Sign up

Export Citation Format

Share Document