Policy determination of inventory control of batik fabric using Q and P lost sale probabilistic model through montecarlo simulation approach as the system testing analysis

2020 ◽  
Author(s):  
M. Iqbal Sabit ◽  
Agus Mansur ◽  
Faizuddin Firdaus
Keyword(s):  
Inventory Control ◽  
Probabilistic Model ◽  
Simulation Approach ◽  
System Testing ◽  
Montecarlo Simulation

scholarly journals MODULAR SIMULATION APPROACH TO SYSTEM TESTING.

1972 ◽  
Author(s):  
M Collins ◽  
D Harder ◽  
R Jones
Keyword(s):  
Simulation Approach ◽  
System Testing ◽  
Modular Simulation

scholarly journals Penerapan Sistem Pengendalian Intern atas Persediaan Barang pada PT.Mica Jaya Pratama

Owner ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Pungky Rahmawanti ◽  
Endang Masitoh ◽  
Anita Wijayanti
Keyword(s):  
Qualitative Research ◽  
Control System ◽  
Organizational Structure ◽  
Inventory Control ◽  
Internal Control ◽  
Structure Determination ◽  
Physical Control

This study aims to find out how the application of internal control over inventory of goods at PT Mica Jaya Pratama Solo. This research is a qualitative research that is by conducting both structured and unstructured interviews to determine the internal control carried out by the company. In this study the variables are the principles of internal control such as adequate separation of duties (organizational structure), determination of adequate responsibilities (system of authority), design and use of documents and adequate records (healthy practices), physical control of assets and records adequate (healthy practice), independently verify performance (HR). The result of this study is that the inventory control system at PT. Mica Jaya Pratama is in accordance with the SOP, but in an adequate separation of duties there is no division between the purchasing division and the finance division.

scholarly journals Inventory Control Analysis of Plastic Raw Materials Using Monte Carlo Simulation Approach

OPSI ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 104
Author(s):  
Lusi Mei Cahya Wulandari ◽  
Laurensia Dilawati Indrianto Putri
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Inventory Control ◽  
Raw Materials ◽  
Control Analysis ◽  
Simulation Approach

scholarly journals Audit Operasional: Solusi Atas Biaya DeadStock

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Christian - Linardo ◽  
Carmel - Meiden ◽  
Eddy - Winarso
Keyword(s):  
Inventory Control ◽  
Internal Control ◽  
Market Research ◽  
Middle Managers ◽  
Group Discussion ◽  
Management Control ◽  
Corporate Earnings ◽  
Effectiveness And Efficiency

In manufacturing company, effectiveness and efficiency of inventory control can affect the corporate earnings significantly. According to the observation, the author found a large number of dead stock at PT X. Therefore, the author decided to carry out an operational audit of inventory control in the company.The audit steps are preliminary audit, test of management control, audit in depth, reporting, and follow up. The methods used by the author to collect the data are observation for six months, focus group discussion with management, internal control questionnaires for three middle managers, and data documentation.According to the analysis’ result, author found large number of dead stock. The accumulation of dead stock disturbed corporate cash flow so that the company had to make loans to third parties and company had to pay interest charges. In addition, there’s also the exhibition cost. The accumulated expense of dead stock for 2017 was recorded at IDR 522,130,391.43.Several of main causes of the dead stock are the lack of market research, lach of control by stock keeper, and other factors. The author suggested internal improvement such as the determination of clear boundaries for inventories, and external improvement such as doing market research more often. Keywords: Operational Audit, Inventory, Effectiveness and Efficiency 

scholarly journals Determination of recovery effort for a probabilistic recovery system under various inventory control policies

Omega ◽  
2006 ◽  
Vol 34 (6) ◽  
pp. 571-584 ◽  
Author(s):  
Z. Pelin Bayındır ◽  
Rommert Dekker ◽  
Eric Porras
Keyword(s):  
Inventory Control ◽  
Control Policies ◽  
Recovery System ◽  
Recovery Effort

SERVICE LEVEL ANALYSIS OF (S - 1, S) INVENTORY POLICY FOR NEGATIVE BINOMIAL DISTRIBUTED FAILURES

2008 ◽  
Vol 25 (06) ◽  
pp. 827-835 ◽  
Author(s):  
SUNEUNG AHN ◽  
WOOHYUN KIM
Keyword(s):  
Inventory Control ◽  
Negative Binomial ◽  
Probability Model ◽  
Control Policy ◽  
Service Level ◽  
Spare Parts ◽  
Uncertain Parameters ◽  
Inventory Control Policy ◽  
Determination Of Parameters

This paper deals with the analysis of uncertain parameters in the (S - 1, S) inventory control policy. In order to determine the number of spare parts under the policy, parameters in a probability model for the number of failures during a replenishment lead time should be interpreted first. In case of the negative binomial distributed failures, the presented interpretation facilitates the incorporation of experts' opinions into the estimation of uncertain parameters. Determination of parameters via their interpretation is useful for deciding a service level in the area of reliability-based inventory control.

scholarly journals The Determination Of Optimal Inventory Using Markov Chain

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Novie Novie ◽  
Haryadi Sarjono
Keyword(s):  
Markov Chain ◽  
Inventory Control ◽  
Spare Parts ◽  
Inventory Level ◽  
Research Results ◽  
Markov Chain Method ◽  
Crucial Problem ◽  
Optimal Inventory Level ◽  
A Company

The complication of inventory is a crucial problem for the company because inventory is one of the valuable assets for the company. The existence of inventory control is needed so the inventory levels that exist within the company is not in very large (optimal) therefore the costs incurred by the company can be suppressed as minimum as possible. PT NM is a company engaged in spare parts, especially branded cars in West Jakarta. The level of inventories of goods owned by  these  companies is high because The company did not want to experience stock out of stock but on one side the stock is large enough so the costs incurred  by  companies  such as storage costs of goods becomes even greater. In order to control inventory levels, this study uses a Markov Chain method that can identify optimal inventory level and the expectation of profits earned per month by making estimates of the future demand a previous demand. From the research results shows expectation of profit of each state starting from state 2 to state 10 is Rp 13.146,98921; Rp 12.246,94064; Rp 11.346,61466; Rp 10.444,64569; Rp 9.534,074035; Rp 8.584,408534; Rp 7.484,413248; Rp 5.913,288143; Rp 3.211,609986,-. While the profit expectations that earned by the company per month is Rp 694.233,333, and the optimal inventory level is 50.

scholarly journals Выбор порога селекции сигнала по уровню в обнаружителях с нормализованным индикаторным процессом

2020 ◽  
Author(s):  
S.B. Egorov ◽  
R.I. Gorbachev
Keyword(s):  
False Alarm ◽  
Probabilistic Model ◽  
Numerical Estimate ◽  
Threshold Value ◽  
Threshold Level ◽  
Probability Of False Alarm ◽  
Autonomous Mode ◽  
The Mean ◽  
The Moment

Предложена вероятностная модель работы автономного обнаружителя на этапе ожидания сигнала, когда момент появления сигнала неизвестен и по этой причине решающая статистика, сравниваемая с порогом, формируется непрерывно во времени в режиме скользящего окна . Ложная тревога в этом случае эквивалентна появлению хотя бы одного выброса помехового индикаторного процесса выше порога на максимально возможном интервале ожидания сигнала. Высота порога такова, что ложные выбросы являются редкими событиями, подчиняющимися закону Пуассона. На основе такой вероятностной модели показано, что вероятность ложной тревоги равна среднему числу ложных выбросов на максимально возможном интервале ожидания сигнала. Для обнаружителей с нормализованным индикаторным процессом получены соотношения, определяющие порог селекции сигнала по заданной вероятности ложной тревоги на заданном максимально возможном интервале ожидания сигнала. Показано, что в определении порога важную роль играет средняя квадратичная частота флюктуаций помехового индикаторного процесса. Дана численная оценка увеличения порога по сравнению с его значением, определенным по вероятности ложной тревоги в точке . Показано, что определение порога по предложенной методике особенно актуально для обнаружителей, работающих в длительном автономном режиме.This article proposes a probabilistic model of the autonomous detector in standby mode, when the moment of the signal appearance is unknown and for this reason the decisive statistics is generated continuously in time in the sliding window mode and compared with the threshold value. In this case, false alarm is equivalent to the appearance of at least one outlier of the jamming indicator process above the threshold at the maximum possible signal waiting interval. The threshold level match case when the false alarm are rare events and obey the Poisson law of distribution. Based on such a probabilistic model, we show that the probability of a false alarm is equal to the average number of false emissions at the maximum possible interval for a signal waiting. For detectors with a normalized indicator process, are obtained relations that determine the threshold for signal selection by a given probability of false alarm at a given maximum possible signal waiting interval. It is shown that in determining the threshold, the mean square frequency of fluctuations of the interference indicator process plays an important role. Also, a numerical estimate of the increase in the threshold is given compared with its value determined by the probability of false alarm at a point . It is shown that the determination of the threshold by the proposed method is especially relevant for detectors operating in a long autonomous mode.

Sign in / Sign up

Export Citation Format

Share Document