Types Of Spare Parts Research Articles

Implementasi Metode EOQ dan ROP dalam Manajemen Persediaan Bahan Shoe Piston dengan Dukungan Teknologi RFID: Studi Kasus pada PT XYZ

PT XYZ is a manufacturing company in the automotive sector, with six production departments producing different types of spare parts. This research aims to address the stock shortages experienced by PT XYZ to prevent recurrence in the future. The methods used include linear regression for demand forecasting, EOQ and ROP methods for inventory management and determining reorder timing. The research findings indicate that linear regression is suitable for demand forecasting as it shows an increasing trend, indicating a positive relationship between time and demand. The combination of EOQ and ROP can save costs up to Rp 23,651,327,- from the initial costs as per company policy, and reduce ordering frequency to twice a year. The recommended safety stock for materials is 14 coils per month, with reorder required when stock reaches 140 coils. This research is expected to encourage the implementation of linear regression, EOQ, and ROP methods in the company, and propose the use of RFID technology for inventory monitoring in both raw material and finished goods warehouses

Discussion about the maintenance period and spare parts of electric multiple units

This article firstly discusses the problem about maintenance period of electric multiple units (EMU); Secondly, the types of spare parts and process of calculating the quantity of them during the life cycle period for 30 years are introduced. At last, the determination process of preventive maintenance(PM) and corrective maintenance (CM) spare parts is introduced in detail by taking the secondary suspension of bogie system as example.

An activity based costing decision model for life cycle economic assessment in spare parts logistic management

This article proposes an activity-based costing decision model that considers the life cycle of physical assets particularly, the logistics costs of non-repairable spare parts. The Weibull based failure rate behavior along the life cycle is considered to have a more realistic representation of the demand and a more accurate computation of the logistics costs associated with the different types of spare parts. Thus, through the use of this model it is possible to evaluate different inventory policies and their respective parameters in order to define efficient long-term inventory policies. Also, it represents a decision-making tool for assessing the effects of the different failure rates of each critical spare part. Finally, it can be used as an optimization tool for supporting the design of logistics policies namely, in terms of stock and service levels, and costs. The activity-based life-cycle costing (AB-LCC) model proposed here mitigates limitations of both activity-based costing (ABC) and life-cycle costing (LCC) approaches through a novel combination of these concepts. Theoretical and managerial contributions and several applications and extensions of the AB-LCC model are expected as it is discussed at the end of the article. Specifically, the model presented here is a valuable tool for maintainers to manage critical non-repairable spare parts inventories.

Component replacement and reordering policies for spare parts experiencing two-phase on-shelf deterioration

Spare parts provisioning strategies for critical components are essential for maintenance management in a wide range of industrial applications. In practice, some types of spare parts may suffer from on-shelf deterioration, which will not only affect the reliability and availability of the parts themselves but also the overall operational costs. In this context, a natural question that arises is: “Should we use new parts or degraded ones first for component replacement?” Indeed, developing mathematical models to answer this question has both theoretical and practical values. This article studies component replacement and spare parts reordering policies for a system with spare parts experiencing on-shelf deterioration. A two-phase continuous-time Markov chain is utilized to model the on-shelf deterioration process for each spare part, and two different part consumption strategies, i.e., Degraded-First (DF) and New-First (NF) strategies, are formulated. An optimization framework and a solution algorithm are developed for the two strategies to determine the optimal order intervals and order quantities of spare parts for a fixed planning horizon. The monetary performance measures of the two strategies are studied and compared to a random selection (RS) alternative. Numerical examples show that when the overall system-wise replacement demand rate is approximately independent of the part consumption strategies, the DF strategy leads to the biggest savings compared to the RS strategy while the NF strategy results in the highest expected cost among the three alternatives.

Method of Spare Parts Prediction Models Evaluation Based on Grey Comprehensive Correlation Degree and Association Rules Mining: A Case Study in Aviation

Probability of spare parts sufficiency is crucial in the process of the normal operation of businesses, especially for the airline company. However, higher support sufficiency could inevitably lead to the increase of inventory cost of spare parts and restrict a company’s efficiency. Therefore, it is important for businesses to reduce material cost on the premise of normal operation in order to accurately predict spare parts requirements based on reasonable models. The purpose of this paper is to solve problems with the evaluation of spare parts prediction models and to improve efficiency of company. Firstly, this paper summarizes a series of prediction models of spare parts requirements and applies the grey comprehensive correlation degree to rank the models. Secondly, the method of association rules mining is used to discover the association relationships between the types of spare parts and the prediction models. Finally, a case study in aviation is given to demonstrate the feasibility of the methodology, and optimal prediction models are recommended for aircraft spare parts. In accordance with the association relationships, the applicable prediction model can be provided in terms of different types of spare parts. This model will greatly enhance the work efficiency of spare parts prediction and improve the prediction tasks for the aircraft companies.

Integrated planning of spare parts and service engineers with partial backlogging

In this paper, we consider the integrated planning of resources in a service maintenance logistics system in which spare parts supply and service engineers deployment are considered simultaneously. The objective is to determine close-to-optimal stock levels as well as the number of service engineers that minimize the total average costs under a maximum total average waiting time constraint. When a failure occurs, a spare part and a service engineer are requested for the repair call. In case of a stock-out at spare parts inventory, the repair call will be satisfied entirely via an emergency channel with a fast replenishment time but at a high cost. However, if the requested spare part is in stock, the backlogging policy is followed for engineers. We model the problem as a queueing network. An exact method and two approximations for the evaluation of a given policy are presented. We exploit evaluation methods in a greedy heuristic procedure to optimize this integrated planning. In a numerical study, we show that for problems with more than five types of spare parts it is preferable to use approximate evaluations as they become significantly faster than exact evaluation. Moreover, approximation errors decrease as problems get larger. Furthermore, we test how the greedy optimization heuristic performs compared to other discrete search algorithms in terms of total costs and computation times. Finally, in a rather large case study, we show that we may incur up to 27% cost savings when using the integrated planning as compared to a separated optimization.

Information system design of inventory control spare parts maintenance (valuation class 5000) (case study: plant kw)

Plat KW hadn't using optimal inventory level planning yet and hadn't have an information system that well computerized. The research objective is to be able to design an information system related inventory control of spare parts maintenance. The study focused on five types of spare parts with the highest application rate during February 2013- March 2015 and included in the classification of fast on FSN analysis Grinding stones Cut 4". Cable Tie 15". Welding RB 26-32MM. Ring Plat ½" and Ring Plate 5/8 ". Inventory calculation used Economic Order Quantity (EOQ). Safety Stock (SS) and Reorder Point (ROP) methods. System analysis conducted using the framework PIECES with the proposed inventory control system. the performance of the plant KW relating to the supply of spare parts maintenance needs can be more efficient as well as problems at the company can be answered and can perform inventory cost savings amounting Rp.267.066. A computerized information system of inventory control spare parts maintenance provides a menu that can be accessed by each departments as the user needed.

Modeling Method for Predicting the Shelf Life of Spare Parts under Automatic Modeling Process

A modeling method which can predict the shelf life of various types of spare parts in a relatively short time is put forward in this article. At present, it is difficult to solve the problem of mass modeling because the shelf life prediction models for different kinds of spare parts are of great diversification. In this paper, the best fitting nonlinear variables are selected by Gram-Schmidt regression method, and the detailed steps of automatic modeling process are given, which have advantages of strong robustness and are easy in programming. Especially, it can eliminate the influence of multicollinearity among alternative models effectively. By using natural rubber heating elongation data, an example is taken to demonstrate the process of automatic modeling. The nonlinear regression models selected by automatic modeling process are consistent in Dakin equation, and the predict values of natural rubber shelf life are included in the storage period given by manufacturing plant.

M/M/R+r machining system with reneging, spares and interdependent controlled rates

The present investigation deals with the multi component machine repair problem by including the concepts of reneging and interdependent controlled rates. We consider a machining system consisting of M operating units, S 1 and S 2 warm spares of two kinds and a repair facility having R permanent repairmen and r additional removable repairmen. When all the spares are used and the operating units fail, the system works in degraded mode. By using interdependent controlled arrival and service rates and reneging parameters along with time-sharing concept, the queueing model is developed for more versatile situations encountered in production/ manufacturing industries. The solution is obtained by using recursive technique. The expressions for the queue size distribution and expected queue length are established. Some more performance indices such as expected number of failed units waiting for the service, expected number of busy repairmen, expected number of both types of spare parts functioning as standbys, etc., are obtained with the help of recursive technique. By taking numerical illustrations, the sensitivity analysis is provided to validate the analytical results.