scholarly journals KEBIJAKAN PERSEDIAAN SUKU CADANG DI PT ABC MENGGUNAKAN METODE RCS (RELIABILITY CENTERED SPARES)

2018 ◽  
Vol 2 (1) ◽  
pp. 90-102
Author(s):  
Fransiskus Tatas Dwi Atmaji ◽  
Anak Agung Ngurah
Keyword(s):  
Heat Exchanger ◽  
Pressure Gauge ◽  
Spare Part ◽  
Spare Parts ◽  
Mechanical Seal ◽  
Inventory Policy ◽  
Machine Reliability ◽  
Spare Parts Inventory ◽  
Critical Components ◽  
One Year

Based on data from the production and maintenance department, the highest downtime happen in JDK machine at ABC company. High downtime caused by spare parts lacking or replacement parts when the machine damaged, it cause the engine stop longer. This study analyze and determine spare part inventory the policy, especially critical components in JDK machine. Reliability Centered Spare (RCS) method used in this study, this method essentially determines the optimal spare parts policy for a certain period. The result of research with RCS method shows that the spare parts inventory policy for all critical components of JDK machine in one year ahead by storing or stocking the following amount: packing valve: 469 pieces; teflon: 134 pieces; bearing pump: 10 pieces; mechanical seal: 26 pieces; motor pump: 10 pieces; packing pump: 141 pieces; motor driving reel: 9 pieces; bearing driving reel: 45 pieces; mechanical seal driving reel: 163 pieces; packing heat exchanger: 70 pieces; site glass: 29 pieces; and pressure gauge: 7 pieces.

scholarly journals KEBIJAKAN PERSEDIAAN SUKU CADANG DI PT ABC MENGGUNAKAN METODE RCS (RELIABILITY CENTERED SPARES)

2018 ◽  
Vol 2 (1) ◽  
pp. 84 ◽  
Author(s):  
Fransiskus Tatas Dwi Atmaji ◽  
Anak Agung Ngurah Nanda Utama Putra (Telkom University)
Keyword(s):  
Heat Exchanger ◽  
Pressure Gauge ◽  
Spare Part ◽  
Mechanical Seal

<p><em>Berdasarkan data dari bagian produksi dan bagian perawatan mesin, waktu berhenti beroperasi (downtime) untuk mesin JDK di PT.ABC adalah yang tertinggi. Tingginya downtime ini diakibatkan oleh tidak adanya spare part atau komponen pengganti saat mesin tersebut rusak sehingga waktu mesin berhenti semakin lama. Penelitian ini bertujuan untuk menganalisa dan menentukan kebijakan persediaan suku cadang, khususnya komponen-komponen kritis yang ada di mesin JDK. Metode Reliability Centered Spare (RCS) digunakan dalam penelitian ini, metode ini pada intinya bertujuan untuk menentukan kebijakan suku cadang yang optimal pada sebuah mesin dalam rentang periode tertentu. Hasil penelitian dengan metode RCS menunjukkan bahwa kebijakan persediaan suku cadang untuk semua komponen kritis mesin JDK dalam satu tahun ke depan adalah dengan melakukan penyimpanan atau persediaan komponen dengan sejumlah berikut: packing valve :469 buah; teflon:134 buah; bearing pump:10 buah; mechanical seal:26 buah; motor pump:10 buah; packing pump:141 buah;motor driving reel:9 buah; bearing driving reel:45 buah;mechanical seal driving reel:163 buah;packing heat exchanger:70 buah; site glass:29 buah; dan pressure gauge: 7 buah. </em></p>

scholarly journals An Optimal Order Quantity Of Spare Parts To Minimize Total Inventory Cost Using Periodic Review Approach (R,s,s) Method In PT. XYZ Bandung

2017 ◽  
Vol 1 (02) ◽  
Author(s):  
Feviana Betsi Purba ◽  
Luciana Andrawina ◽  
Murni Dwi Astuti
Keyword(s):  
Spare Part ◽  
Spare Parts ◽  
Optimal Order ◽  
Periodic Review ◽  
Order Quantity ◽  
Inventory Cost ◽  
Inventory Policy ◽  
Total Saving ◽  
Manufacturing Company ◽  
Total Inventory

The availability of spare parts is very crucial thing for manufacturing company in order to support the continuity of production activities. PT XYZ is a manufacturing company which produces thread into fabric. In this case, inventory control of spare part is not properly managed. Inventory position of spare parts in warehouse is always more than inventory policy of the company itself or called overstock which causes total inventory cost is always high. Company only consider on the order fulfillment of spare parts to prevent downtime on the machine that increase performance of production. Hence, order quantity of spare parts is always excessive or not optimal. In this research, global inventory policy conducted in order to minimize total inventory cost is periodic review approach (R, s, S) method. This inventory policy will be calculated using power approximation and obtained total saving cost of holding cost by 31 % while total saving cost of order cost decreased by 7 %. Overall, total inventory cost minimized by 7 % or equal to Rp138.902.742.

A dynamic predictive maintenance model considering spare parts inventory based on hidden semi-Markov model

2012 ◽  
Vol 227 (9) ◽  
pp. 2090-2103 ◽  
Author(s):  
Qinming Liu ◽  
Ming Dong ◽  
Ying Peng
Keyword(s):  
Dynamic Programming ◽  
Markov Model ◽  
Transition Probabilities ◽  
Spare Part ◽  
Spare Parts ◽  
Stochastic Dynamic ◽  
Maintenance Strategies ◽  
Spare Parts Inventory ◽  
Optimal Maintenance ◽  
Maintenance Model

The maintenance strategies optimization can play a key role in the industrial systems, in particular to reduce the related risks and the maintenance costs, improve the availability, and the reliability. Spare part demands are usually generated by the need of maintenance. It is often dependent on the maintenance strategies, and a better practice is to deal with these problems simultaneously. This article presents a stochastic dynamic programming maintenance model considering multi-failure states and spare part inventory. First, a probabilistic maintenance model called hidden semi-Markov model with aging factor is used to classify the multi-failure states and obtain transition probabilities among multi-failure states. Then, spare parts inventory cost is integrated into the maintenance model for different failure states. Finally, a double-layer dynamic programming maintenance model is proposed to obtain the optimal spare parts inventory and the optimal maintenance strategy through which the minimum total cost can be achieved. A case study is used to demonstrate the implementation and potential applications of the proposed methods.

An EOQ Based Multi-Storage Location of Spare Part Inventories: A Case Study

2013 ◽  
Vol 315 ◽  
pp. 733-738 ◽  
Author(s):  
Noor Ajian Mohd-Lair ◽  
Chuan Kian Pang ◽  
Willey Y.H. Liew ◽  
Hardy Semui ◽  
Loh Zhia Yew
Keyword(s):  
Inventory Management ◽  
Spare Part ◽  
Spare Parts ◽  
Inventory Level ◽  
Management Technique ◽  
Inventory Management System ◽  
Spare Parts Inventory ◽  
Storage Location ◽  
Manual Recording

Spare parts inventory management is very important to ensure smooth operation of maintenance department. The main objectives of inventory management of spare parts are to ensure the availability of spares and materials for the maintenance tasks and increase the productivity of the maintenance department. This research centred on the development of the Computerised Inventory Management System (CIMS) for the maintenance team at Weida Integrated Industries Sdn. Bhd. The inventory management technique used to control the spare parts inventory in this research was the basic Economic Order Quantity models (EOQ). However, the CIMS developed is unique as it has the ability in handling inventories in multiple-storage locations. The CIMS was written using the Visual Basic 2010 software. This CIMS has the abilities to keep records and process the spare parts information effectively and faster besides helping the user to perform spare parts ordering tasks compared to the current manual recording. In addition, the ordering quantity and frequency for the CIMS is determined through the EOQ technique. However, observation indicates that the overall average inventory level currently at the factory is lower than the expected overall average inventory level produced by the CIMS. This is due to the fact that the CIMS was unable to consider the opening stock in ordering the inventories. Therefore, further improvements are needed to optimize the performance of the system such as using the EOQ with the reorder point technique, the periodic or continuous review system.

scholarly journals LUMPY DEMAND FORECASTING USING LINEAR EXPONENTIAL SMOOTHING, ARTIFICIAL NEURAL NETWORK, AND BOOTSTRAP

2018 ◽  
Vol 10 (2) ◽  
pp. 107
Author(s):  
Sinta Rahmawidya Sulistyo ◽  
Alvian Jonathan Sutrisno
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Inventory Management ◽  
Spare Part ◽  
Service Level ◽  
Exponential Smoothing ◽  
Spare Parts ◽  
Forecasting Methods ◽  
Forecasting Method ◽  
Spare Parts Inventory

Lumpy demand represents the circumstances when a demand for an item has a large proportion of periods having zero demand. This certain situation makes the time series methods might become inappropriate due to the model’s inability to capture the demand pattern. This research aims to compare several forecasting methods for lumpy demand that is represented by the demand of spare part. Three forecasting methods are chosen; Linear Exponential Smoothing (LES), Artificial Neural Network (ANN), and Bootstrap. The Mean Absolute Scaled Error (MASE) is used to measure the forecast performance. In order to gain more understanding on the effect of the forecasting method on spare parts inventory management, inventory simulation using oil and gas company’s data is then conducted. Two inventory parameters; average inventory and service level; are used to measure the performance. The result shows that ANN is found to be the best method for spare part forecasting with MASE of 0,761. From the inventory simulation, the appropriate forecasting method on spare parts inventory management is able to reduce average inventory by 11,9% and increase service level by 10,7%. This result justifies that selecting the appropriate forecasting method is one of the ways to achieve spare part inventory management’s goal.

Research on optimization of spare parts inventory policy considering maintenance priority

2018 ◽  
Vol 9 (6) ◽  
pp. 1336-1345 ◽  
Author(s):  
Yu-kun Chen ◽  
Qi Gao ◽  
Xiao-bo Su ◽  
Shun Fang ◽  
Chi-ming Guo
Keyword(s):  
Spare Parts ◽  
Inventory Policy ◽  
Spare Parts Inventory

Bruce Power Aging Obsolescence Program

2010 ◽  
Author(s):  
Ian Cruchley ◽  
Rick Dam ◽  
Ralf Gold ◽  
Brian Ferguson
Keyword(s):  
Health Status ◽  
Heat Exchangers ◽  
Single Point ◽  
Pilot Project ◽  
Spare Parts ◽  
Critical Component ◽  
Integrated Methodology ◽  
Spare Parts Inventory ◽  
Critical Components ◽  
Technical Basis

The Aging and Obsolescence Program (AOP) developed by AECL in cooperation with Bruce Power ensures that Bruce Power is able to proactively manage plant critical component vulnerabilities before failure, thereby improving unit forced outage rates and reliability. AOP involves application of INPO AP-913 guidance for aging and obsolescence. The process includes component criticality identification and prioritization, single point vulnerability identification, and development of the technical basis to support maintenance. This includes replace or repair strategies, identification of critical spare parts and stocking parameters, through to the identification and resolution of obsolescence issues. The program is applicable to all components in a plant, but is being applied initially to critical components. This includes all Bruce B criticality category 1 components and those components that have caused plant trips or outages The program was also expanded to include review of buried piping for both Bruce A and B, additional plant systems based upon health status, and heat exchangers. Critical Spare Parts and Obsolescence Assessments identify and manage critical spare parts and obsolescence for Bruce Power SSCs (structures, systems, and components) and optimize spare parts inventory, which is intended to meet both planned and un-planned demand. In order to facilitate implementation of the AOP, the project includes integration of the program into Bruce Power processes and procedures. The cooperation between Bruce Power and AECL on AOP began as a small pilot project in 2007 where the program and procedures were developed by analysis of a few select components. The paper describes the Bruce Power Aging Obsolescence Program, the novelties and improvements of this integrated methodology and progress made to date.

scholarly journals Analisa Pengendalian Persediaan Suku Cadang Pada PT. XYZ Dengan Metode Analisis ABC

2020 ◽  
Vol 2 (1) ◽  
pp. 5-13
Author(s):  
Eka Sofia. A ◽  
Darno Darno ◽  
Mitha Otik Wiraswati ◽  
Dewi Agustya Ningrum
Keyword(s):  
Spare Part ◽  
Spare Parts ◽  
Analysis Method ◽  
Cumulative Percentage ◽  
Spare Parts Inventory ◽  
Group A ◽  
Abc Analysis ◽  
Group B

Inventory can be interpreted as a stock of goods to be sold or used at a certain time,without the inventory the company will run the risk and can not meet costomer demand. This research was conducted to analyze spare part inventory using ABC analysis method and EOQ method at PT. Adiprima Suraprinta, Gresik.The results of this study are there there are 4 spare parts inventory items in group A with a cumulative percentage of 8,59% by absorbing a budget of 56,78%, there are 5 spare parts inventory items in group B with a cumulative percentage of 18,47% by absorbing a budget of 24,15%, there are 17 spare parts inventory items in group C with a cumulative percentage of 72,92% by absorbing a budget of 10%.

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