scholarly journals A Probabilistic Modeling of the Demand and Supply for Rotable Aircraft Components (Case Study: Brake Assembly of Boeing 737-800)

AVIA ◽  
2020 ◽  
Vol 2 (1) ◽  
Author(s):  
C D W Kuswardani ◽  
E Suwondo
Keyword(s):  
Real Data ◽  
Spare Part ◽  
Service Level ◽  
Spare Parts ◽  
Demand And Supply ◽  
Safety Stock ◽  
Common Assumption ◽  
Supply Model ◽  
New Generation

Spare parts control is an important factor in every airlines company. The unavailability of the spare parts may affect the airlines operationally, thus a delay and even a cancellation may happen. A common assumption used to calculate spare part requirements is that the demand is stochastic and the supply is constant. But in real operational circumstance, both of those are stochastic. This research develops the spare parts demand and supply model, and the calculation method of service level and safety stock in the bi-variate distribution from a real data of demand and supply of a rotable component. A fit test is conducted to determine the probability density function of the distribution. An analysis is then carried out after implementing the model in a case study. Historical data of brake assembly used in Boeing 737-800 New Generation is used in the case study. The result of this research are a model to determine demand and supply of aircraft spare part components, a method to calculate service level and safety stock for probabilistic model of demand and supply, and the amount of spare parts required for a brake assembly inventory system

Time-based responsive logistics for a maintenance service network

2019 ◽  
Vol 25 (4) ◽  
pp. 589-611 ◽  
Author(s):  
Ioannis Manikas ◽  
Balan Sundarakani ◽  
Vera Iakimenko
Keyword(s):  
Case Study Research ◽  
Spare Part ◽  
Service Level ◽  
Spare Parts ◽  
Retail Banking ◽  
Distribution Centers ◽  
Service Network ◽  
Content Type ◽  
Maintenance Service

PurposeThe purpose of this paper is to identify the main reasons for spare parts logistics failures and address logistics distribution design in order to achieve the desired level of after-sales maintenance service.Design/methodology/approachThis research is based on an empirical case study on a large corporation providing worldwide with retail banking hardware, software and services. The case study focuses on the automated teller machine (ATM) part of activities, with a focus on the spare parts distribution and after-sales service network in the Eastern Europe.FindingsThe proposed network solution of multiple distribution centers with short-cut distance saving approach will enable the case study company to redesign their spare part logistics architecture in order to achieve short response time. Research findings reveal possible spare parts delivery delays and thus the service-level agreement failures with clients in the case study company.Research limitations/implicationsThis research covers a particular supply chain environment and identified research gaps. It discusses a time-based responsive logistics problem and develops a conceptual framework that would help researchers to better understand logistics challenges of installed equipment maintenance and after-sales service.Originality/valueThis case study research shows the “big picture” of spare parts logistics challenges as vital part of installed equipment after-sales and maintenance service network, as well as emphasizes how the unique context of a market like Russian Federation can set-up a distribution network efficiently. Strategies applied to handle such service-level failures, reverse logistics aspects of repairable and non-repairable spare parts to such large ATM after-sales service network based on this longitudinal case offer value for similar scale companies.

Research on Distribution of Hobbing Machine Spare Parts with Time Limits

2016 ◽  
Vol 9 (1) ◽  
pp. 58-74
Author(s):  
Hu Linqiao ◽  
Yan Ping ◽  
Jia Fei ◽  
Zhou Qiang
Keyword(s):  
Loading Rate ◽  
Spare Part ◽  
Spare Parts ◽  
Distribution Model ◽  
Split Delivery ◽  
Time Limits ◽  
Vehicle Loading ◽  
Key Factor ◽  
Service Oriented

Distribution of hobbing machine spare parts is a key factor to improve the efficiency of service-oriented spare part allocation. In order to minimize the distribution route, the distribution model of hobbing machine spare parts with time limits was put forward. The modified savings algorithm was adopted to solve the model. To improve the loading rate of classic savings algorithm, the modified savings algorithm allowed the split delivery according to customers' requirements. A case study verified that the application of modified savings algorithm ensured the shortest distribution route and improved the vehicle loading rate.

scholarly journals Evaluating The Performance of Inventory Management The Production Division of PT. Tiga Serangkai Surakarta as a Case Study

2016 ◽  
Vol 1 (1) ◽  
pp. 93
Author(s):  
Sri Maryati
Keyword(s):  
Inventory Management ◽  
System Performance ◽  
Service Level ◽  
Inventory System ◽  
Order Quantity ◽  
Safety Stock ◽  
Production Employee ◽  
The Cost

This research aims to understand the process of production and to analyze the performance of inventory system on production division of PT. Tiga Serangkai. The data has been gathered from direct observation of the process production and warehouse and the interview with the production employee, the employee of warehouse division, supervisor of purchasing and finance manager. This research demonstrates that inventory system performance of PT. Tiga Serangkai Surakarta can be optimized through the determination of inventory policy, applying a model minimum and maximum inventory that considers the safety stock in accordance with service level plan, implementing model Reorder Point (ROP) which can be used as guidelines in charging supply back, and applying the model economic ordering quantity. In doing so, they can save the cost of inventory. Keywords: inventory management, economic order quantity (EOQ), PT. Tiga Serangkai 

scholarly journals OPTIMASI PERSEDIAAN SPARE PART UNTUK MENINGKATKAN TOTAL PENJUALAN DENGAN MENGGUNAKAN SIMULASI MONTE CARLO (STUDI KASUS DI PT. ZXC)

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Iphov Kumala ◽  
I Wayan Sukania ◽  
Santo Christianto
Keyword(s):  
Monte Carlo ◽  
Fast Moving ◽  
Spare Part ◽  
Spare Parts ◽  
Safety Stock ◽  
New Model ◽  
Reorder Point ◽  
Spark Plug ◽  
Air Cleaner ◽  
Slow Moving

PT. ZXC merupakan perusahaan yang bergerak di bidang sales (showroom) dan After Sales Service termasuk penjualan spare part (Vehicle Service Part). Pada bidang spare part terdapat berbagai kategori yang ada untuk tiap spare parts berdasarkan demand atau pergerakannya, yaitu fast moving, slow moving, non moving (dead stock), dan new model. Sistem pemesanan yang dilakukan untuk memenuhi persediaan tidak berdasarkan pada jumlah permintaan yang akan datang. Penelitian dilakukan untuk dapat membantu perusahaan agar dapat meningkatkan total penjualan dengan memberikan usulan perbaikan pada pemesanan spare parts pada kategori fast moving dengan menggunakan simulasi Monte Carlo. Penelitian ini juga diharapkan dapat membantu perusahaan untuk dapat melakukan perencanaan dan pengendalian terhadap permintaan konsumen dengan memperhatikan reorder point dan safety stock yang dihasilkan dari simulasi Monte Carlo. Pada penelitian ini parts yang akan diteliti, yaitu Air Cleaner, Oil Filter, dan Spark Plug karena part tersebut merupakan part fast moving tertinggi. Dalam penelitian ini, apabila menggunakan simulasi monte carlo terjadi peningkatan total penjualan yang dilihat berdasarkan keuntungan tiap bulannya. Pada tahun 2013 hingga Juni 2015, peningkatan tertinggi sebesar 2,622% dan peningkatan terendah sebesar 0,117%. Kata Kunci: Spare Part, Sistem Pemesanan, Simulasi Monte Carlo, Reorder Point, Safety Stock.

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.

scholarly journals Assessment of the Potential Economic Impact of the Use of AM Technologies in the Cost Levels of Manufacturing and Stocking of Spare Part Products

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1429 ◽  
Author(s):  
Joaquim Minguella-Canela ◽  
Sergio Morales Planas ◽  
Joan Gomà Ayats ◽  
M. de los Santos López
Keyword(s):  
Additive Manufacturing ◽  
Economic Impact ◽  
General Equation ◽  
Spare Part ◽  
Spare Parts ◽  
Added Value ◽  
Topological Optimization ◽  
Manufacturing Technologies ◽  
The Cost

Additive manufacturing (AM) technologies are appropriate manufacturing technologies to produce low rotation products of high added value. Products in the spare parts business usually have discontinuous demand levels of reduced numbers of parts. Indeed, spare parts inventories handle myriad of products that require big immobilized investments while having an intrinsic risk of no-use (for example due to obsolescence or spoilage). Based on these issues, the present work analyses the fundamental cost factors in a real case study of a company dedicated to the supply of spare parts for fluid conduction systems. Real inventory data is assessed to determine the product taxonomy and its associated costs. A representative product of the stock is analyzed in detail on original manufacturing costs, in AM costs and then redesigned with topological optimization to reduce the AM cost levels (via design for additive manufacturing). A general equation for cost assessment is formulated. Given the specific data collected from the company, the parameters in this general equation are calculated. Finally, the general equation and the product cost reduction achieved are used to explore the potential economic impact of the use of AM technologies in the cost levels of manufacturing and stocking of spare part products.

scholarly journals Web based Information system for selling spare parts and custom bicycle frames (Case Study Of The Surabaya Minion Shop)

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Muhammad Hendra Oktaviano ◽  
Arif Senja Fitrani
Keyword(s):  
Information System ◽  
Data Collection ◽  
Research Method ◽  
Spare Part ◽  
Spare Parts ◽  
Web Based ◽  
Interview Techniques

The purpose of this research is to design and produce an Online Shop application that is a Web that can provide information on goods data related to the sale of spare parts and custom frames that they are looking for. The research method used is the waterfall method, while the techniques for data collection use observation and interview techniques. The spare part data is obtained from visiting from shop to shop and the shop itself. The result of this research is to make it easier for customers to find the spare parts they want and to make more and more bicycle enthusiasts, especially onthel mini bikes, use them.

scholarly journals Reverse engineering and CAD-CAM approach for manufacturing of spare parts. Case study

2018 ◽  
Vol 184 ◽  
pp. 03004
Author(s):  
Iulian Stănăşel ◽  
Florin Blaga ◽  
Traian Buidoş ◽  
Dan Crăciun
Keyword(s):  
Reverse Engineering ◽  
Complex Shape ◽  
Product Information ◽  
Spare Part ◽  
Spare Parts ◽  
Virtual Manufacturing ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Cad Cam

Reverse engineering represents a method to retrieve information from an existing product, information which are then used for designing a new product or to reproduce it in order to make spare parts. In this paper is presented a case study on making a spare part of complex shape from a worn part. There are presented the stages of acquisition of data by scanning, the use of reverse engineering for the realization of the 3D model, the virtual manufacturing and then the machining of the workpiece CNC machine tools.

scholarly journals Opportunity costs of a spare parts storage – a case study in a crushing soy industry

2021 ◽  
pp. 47281-47284
Keyword(s):  
Literature Review ◽  
Opportunity Cost ◽  
Spare Part ◽  
Spare Parts ◽  
Opportunity Costs ◽  
Process Improvements

The amount of money used to purchase spare parts that are kept in storage may represent a substantial opportunity cost, therefore it could be allocated in process improvements, resulting in better efficiency and bigger profits. Then, this article, besides presenting a literature review about spare parts storage accounting, it shows that the opportunity cost might represent up to 40% of the value of the spare part.

Sign in / Sign up

Export Citation Format

Share Document