scholarly journals Engine Maintenance Cost Calculation Method

1981 ◽  
Author(s):  
C. E. Curry
Keyword(s):  
Sensitivity Analysis ◽  
Calculation Method ◽  
Operating Cost ◽  
Cost Driver ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Cost Calculation ◽  
Programmable Calculator ◽  
Engine Maintenance

The Allison projected engine operating cost technique allows calculation of engine maintenance direct operating costs for various maintenance concepts and flying programs. Cost effects resulting from predicted or measurable effects of environment or mission constraints can also be calculated. This technique may be used to develop sensitivity analysis around nominal cost driver values. The technique discussed was designed for use with a hand-held programmable calculator.

scholarly journals Effects of the Fuel Price Increase on the Operating Cost of Freight Transport Vehicles

2018 ◽  
Vol 34 ◽  
pp. 01022
Author(s):  
Adel Gohari ◽  
Nasir Matori ◽  
Khamaruzaman Wan Yusof ◽  
Iraj Toloue ◽  
Kin Cho Myint
Keyword(s):  
Operating Cost ◽  
Freight Transportation ◽  
Freight Transport ◽  
Price Increase ◽  
Cost Driver ◽  
Maintenance Cost ◽  
Percentage Increase ◽  
Effective Parameters ◽  
Fuel Price ◽  
The Impact

One of the most important criteria in freight modal choices is the transport operating cost in which fuel price changes has a significant effect on it. This paper presents the impact of fuel price increases on the operating cost of the different transport modes for the containerized freight transportation. In this study, an operating cost equation was applied to compare the operating cost of different freight transport vehicles as well as evaluation of the operating cost changes across a range of fuel prices between the current price and one-hundred percent increase. The equation consists of influential parameters such as fuel cost, driver wage and maintenance cost of a vehicle. It has been concluded that the effect of the fuel price increase on the operating cost of different freight transportation modes is not in the same rate. According to equation and effective parameters considered, comparing the results showed that truck has the highest cost, train has the largest increase in price. Finally, the ship is the most influenced vehicle in terms of operating cost percentage increase when the rate of fuel price increase, followed by train and truck.

scholarly journals Decision Making and Truck Operating Costs on Haulage Business in Lagos, Nigeria

2020 ◽  
pp. 28-37
Author(s):  
Christopher Adesola Wojuade ◽  
Jubril Oladosu
Keyword(s):  
Operating Cost ◽  
Cost Effective ◽  
Business Owners ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Financial Investment ◽  
The Subject ◽  
Fleet Operations ◽  
Regular Training ◽  
Structured Questionnaire

Aim: To evaluates how managers take decisions on variable components of freight operation and its effects on truck operating costs in haulage business in Lagos, Nigeria. Study Design: The structure of this paper is a descriptive design. It identified a gap in knowledge and employed a structured questionnaire to obtain useful information that gives a clearer understanding of the subject in a new environment. The data collected was analysed using descriptive statistics. Place and Duration of Study: Haulage companies operating in Lagos, Nigeria between June and August 2019. Methodology: The population study is 2154 staff drawn from the eight purposively selected registered haulage companies in Lagos, Nigeria. A structured questionnaire was randomly administered on 337 personnel involved in freight operations. The questionnaire survey was conducted to obtain information on company’s expenses and policy decisions on truck operating components. Result: The decision to use new truck reduces fuel consumption and maintenance cost of haulage business. Furthermore, remunerating drivers in salary is cost effective, regular training of drivers improves their performance while high empty return trips leads to revenue loss. Business owners take decisions on huge financial investment while managers handled those that are directly related to daily fleet operations. Conclusion: The study concluded that decisions on components of freight operation increases truck operating cost of the haulage companies in the study area. The study therefore recommends policy actions that will enhance productivity of haulage companies through effective decisions.

Static Planning for Micro-Grid Power Source Based on Multi-Energy Source Hybrid Power Supply with the Minimum Operating Cost

2013 ◽  
Vol 409-410 ◽  
pp. 673-679
Author(s):  
Zhong Jing Liu ◽  
Xiao Jiang Huo ◽  
Hao Cheng ◽  
Yu Na Li
Keyword(s):  
Energy Source ◽  
Power Supply ◽  
Operating Cost ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Hybrid Power ◽  
Micro Grid ◽  
Static Planning ◽  
Minimum Operating

Because the micro-grid investors, beneficiary, management mode, etc. are fairly different from those of traditional power grid. From the perspective of micro grid users or operators, this paper analyzes the operating and maintenance cost of power pack of multi-energy source hybrid power supply, designs the micro-grid power pack model of multi-energy source hybrid power supply by use of static planning measure, aiming at the minimization of operating cost, and analyzes the power pack configuration under the condition of different minimum operating costs by case study and how to achieve the operating and maintenance profits.

scholarly journals EVALUATION OF COSTS OF HARVESTER IN CUT AND PROCESSING OF EUCALYPTUS WOOD1

2017 ◽  
Vol 41 (5) ◽  
Author(s):  
Larissa Nunes dos Santos ◽  
Haroldo Carlos Fernandes ◽  
Remo Macieira Figueiredo Silva ◽  
Márcio Lopes da Silva ◽  
Amaury Paulo de Souza
Keyword(s):  
Sensitivity Analysis ◽  
Financial Analysis ◽  
Operating Cost ◽  
Forest Harvesting ◽  
Operating Costs ◽  
Total Cost ◽  
Wood Processing ◽  
Planning And Control ◽  
Hours Of Work ◽  
And Control

ABSTRACT Before performing any financial analysis costs must be calculated. These costs should allow the planning and control over the use of the machines as well as the comparison between different investments alternatives since this is easily calculated. Generally the operating costs of forest harvesting machines are estimated until the maximum of 25,000 hours of work, and it is not possible to know whether the activity remains profitable thereafter or not. For this reason the objective of this study was to evaluate the costs from cutting activities and wood processing carried out by a forestry tractor harvester up to approximately 30,000 hours of work. Ten forest machines composed of two models of harvester (John Deere, model 1270D and 1470D) were used. A spreadsheet provided by a forestry company located in the state of Minas Gerais, containing the necessary data to estimate the operating cost of the machines and subsequent achievement of the sensitivity analysis was used. The operating cost was obtained by the sum of the fixed and variable costs. For sensitivity analysis the variation ± 20% of the most representative elements of the total cost of the machine was performed. The results for the operating cost of the harvester and forwarder was U.S. $ 190.85 h-1. Costs for repairs and maintenance, labor, fuel, and depreciation represented approximately 90% of the total cost of the machine. Despite the fact that the age of the machine has a direct influence on its operating cost, the costs did not behave in a linear fashion over the years.

scholarly journals The Ability to Pay and Willingness to Pay on Operation of Adi Soemarmo Airport Train Access Line to Airplane Passengers

2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Wahyu Chrismasto ◽  
Imam Muthohar ◽  
Danang Parikesit
Keyword(s):  
Willingness To Pay ◽  
Public Transportation ◽  
Choice Model ◽  
Contingent Valuation Method ◽  
Mode Choice ◽  
Operating Cost ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Ability To Pay ◽  
Mode Choice Model

Connectivity between transportation nodes is crucial in encouraging the movement of people and goods, including access to Adi Soemarmo Airport. Currently, access to Adi Soemarmo Airport is dominated by private vehicles and taxis compared to public transportation such as buses which can be costly for some passengers. To cut the cost of transportation in Adi Soemarmo airport, the Ministry of Transportation has built railway access to Adi Soemarmo Airport from Solo Balapan Station and vice versa. However, the scheme of train’s tariff is solely designed to accommodate only operational and maintenance cost, while the ability and willingness of passengers to pay are simply neglected. This research aims to analyse willingness to pay of airplane passenger for the operation plan of airport train based on mode choice model and contingent valuation method and finally be able to determine the tariff based on willingness to pay and train operating costs. Mode choice model uses logit binomial in terms of differences with a stated preference method, willingness to pay analysis uses the net economic value from binomial logit and train operating cost calculations use the Minister of Transportation Regulation Number PM 17 the Year 2018. The average value of willingness to pay of prospective airport train users for each car, taxi and bus users based on binomial logit model is IDR14,802.42, IDR14,121.13, IDR14,221.42. Meanwhile, the value of the ability to pay for each car, taxi and bus users is IDR60,996.90, IDR79,564.67, IDR55,117.17 and the tariff value based on train operating costs is IDR17,730.22.

ECONOMIC EVALUATION OF DIAGNOSTIC TESTS

1999 ◽  
Vol 15 (3) ◽  
pp. 480-496 ◽  
Author(s):  
Johan L Severens ◽  
Gert-Jan van der Wilt
Keyword(s):  
Sensitivity Analysis ◽  
Economic Evaluation ◽  
Random Sample ◽  
Calculation Method ◽  
Economic Evaluations ◽  
Cost Calculation ◽  
Quality Of Reporting ◽  
Methodological Review ◽  
Medline Search ◽  
The Cost

Objectives: The purpose of this review was to examine whether studies from the medical literature focusing on efficiency of diagnostic facilities reported economic evaluation methods appropriately, following guidelines for conducting and reporting economic evaluations.Methods: A Medline search was conducted, and studies that concerned a diagnostic technology and fulfilled the Drummond criteria were selected for methodological review. The reliability of selection and methodological review based on the abstracts was determined by scoring a random sample of both abstracts and full articles. lnterrater reliability was determined by scoring a random sample of abstracts by both authors. Kappa values were calculated. Nine methodological aspects were reviewed: study design, the type of economic evaluation, the comparison made, the study's perspective, the cost-effectiveness ratio used, the definition of cost-effective, the types of costs analyzed, the cost calculation method, and the use of sensitivity analysis.Results: Two hundred fifty studies published between 1992 and 1997 were found regarding efficiency of diagnosticfacilities; 134 studiesfulfilled the Drummond criteriaand were selected for methodological review. Kappavalues showed reliability of selection and methodological review and interrater reliability. The existing literatue on the economic evaluation of diagnostic facilities does not adhere well to guidelines for economic evaluation. In 95%, no perspective was mentioned, in 50% of the cases no ratio was given, in 82% the cost calculation method was not mentioned, and in 66% no sensitivity analysis was reported.Conclusions: Our review suggests that to improve the quality of reporting economic evaluations, editorial boards could issue and enforce guidelines for standard reporting of such studies.

scholarly journals Optimal placement design for picking and packing in distribution centers

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110106
Author(s):  
John Rios ◽  
Rodrigo Linfati ◽  
Daniel Morillo-Torres ◽  
Iván Derpich ◽  
Gustavo Gatica
Keyword(s):  
Optimal Allocation ◽  
Programming Model ◽  
Operating Cost ◽  
Nonlinear Integer Programming ◽  
Operating Costs ◽  
Optimal Placement ◽  
Distribution Centers ◽  
Suitable Space ◽  
Efficient Distribution

An efficient distribution center (DC) is one that receives, stores, picks and packs products into new logistics units and then dispatches them to points of sale at the minimal operating cost. The picking and packing processes represent the highest operating cost of a DC, and both require a suitable space for their operation. An effective coordination between these zones prevents bottlenecks and has a direct impact on the DC’s operational results. In the existing literature, there are no studies that optimize the distribution of the picking and packing areas simultaneously while also reducing operating costs. This article proposes an integer nonlinear integer programming model that minimizes order preparation costs. It does so by predicting customer demand based on historical data and defining the ideal area for picking and packing activities. The model is validated through a real case study of seven clients and fifteen products. It achieves a [Formula: see text] reduction in operating costs when the optimal allocation of the picking and packing areas is made.

scholarly journals Filling machine preventive maintenance using age replacement method in PT Lucas Djaja

2018 ◽  
Vol 154 ◽  
pp. 01056
Author(s):  
Fifi Herni Mustofa ◽  
Ria Ferdian Utomo ◽  
Kusmaningrum Soemadi
Keyword(s):  
Maintenance Cost ◽  
Time To Failure ◽  
High Failure Rate ◽  
Corrective Maintenance ◽  
Replacement Method ◽  
Critical Components ◽  
Age Replacement ◽  
Engine Maintenance ◽  
A Company ◽  
Mean Time

PT Lucas Djaja is a company engaged in the pharmaceutical industry which produce sterile drugs and non-sterile. Filling machine has a high failure rate and expensive corrective maintenance cost. PT Lucas Djaja has a policy to perform engine maintenance by way of corrective maintenance. The study focused on the critical components, namely bearing R2, bearing 625 and bearing 626. When the replacement of the failure done by the company is currently using the formula mean time to failure with the result of bearing R2 at point 165 days, bearing 625 at a point 205 days, and bearing 626 at a point 182 days. Solutions generated by using age replacement method with minimization of total maintenance cost given on the bearing R2 at a point 60 days, bearing 625 at the point of 80 days and bearing 626 at a point 40 days.

Analisis Pemeliharaan Mesin Conveyor Menggunakan Metode Preventive dan Breakdown Maintenance untuk Meminimumkan Biaya Pemeliharaan Mesin pada PT X

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Meli Amelia ◽  
Tasya Aspiranti
Keyword(s):  
Data Analysis ◽  
Preventive Maintenance ◽  
Research Method ◽  
Research Data ◽  
Maintenance Cost ◽  
Know How ◽  
Descriptive Research ◽  
Quantitative Descriptive ◽  
Engine Maintenance ◽  
Care Study

Abstract. This research aims to know how the implementation of maintenance conducted by PT X and how maintenance by PT X used the preventive and breakdown maintenance methods to minimize engine maintenance cost. The research method used in this study is care study whereas this type of research is quantitative descriptive research. Technique of collecting data in this research by obsererving, interviewing and collecting documents related to research. Data analysis used by using preventive and breakdown maintenance methods. The result of this research is PT X performs maintenance of the engine by using preventive maintenance such as routine maintenance, semi-overhaul forecast maintenance and annual maintenance and breakdown maintenance are usually performed when the machine is fully damaged or dead. PT X should implement preventive maintenance because it is more efficient at 13,2% than the company’s maintenance. Abstrak. Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan pemeliharaan mesin yang dilakukan PT X dan bagaimana pemeliharaan mesin yang yang dilakukan PT X dengan menggunakan metode preventive dan breakdown maintenance untuk meminimumkan biaya pemeliharaan mesin. Metode penelitian yang dilakukan dalam penelitian ini studi kasus sedangkan jenis penelitian ini adalah penelitian deskriptif kuantitatif. Teknik pengumpulan data dalam penelitian ini dengan melakukan observasi, wawancara dan pengumpulan dokumen-dokumen yang berkaitan dengan penelitian. Analisis data yang digunakan dengan menggunakan metode preventive dan breakdown maintenance. Hasil dari penelitian ini adalah PT X hendaknya melakukan pemeliharaan mesin dengan menggunakan preventive maintenance seperti perawatan rutin, perawatan semi overhaul dan perawatan tahunan dan breakdown maintenance biasa dilakukan saat mesin mengalami kerusakan atau mati total. PT X hendaknya melaksanakan preventive maintenance karena lebih efisien sebesar 13,2% dibandingkan pemeliharaan yang dilakukan perusahaan.

Engine Fleet-Management: The Use of Digital Twins From a MRO Perspective

2017 ◽  
Author(s):  
Joern Kraft ◽  
Stefan Kuntzagk
Keyword(s):  
Multilevel Models ◽  
Operating Cost ◽  
Maintenance Cost ◽  
Fleet Management ◽  
Component Level ◽  
The Real ◽  
Digital Twin ◽  
Digital Twins ◽  
The Individual ◽  
Life Consumption

Engine operating cost is a major contributor to the direct operating cost of aircraft. Therefore, the minimization of engine operating cost per flight-hour is a key aspect for airlines to operate successfully under challenging market conditions. The interaction between maintenance cost, operating cost, asset value, lease and replacement cost describes the area of conflict in which engine fleets can be optimized. State-of-the-art fleet management is based on advanced diagnostic and prognostic methods on engine and component level to provide optimized long-term removal and work-scoping forecasts on fleet level based on the individual operation. The key element of these methods is a digital twin of the active engines consisting of multilevel models of the engine and its components. This digital twin can be used to support deterioration and failure analysis, predict life consumption of critical parts and relate the specific operation of a customer to the real and expected condition of the engines on-wing and at induction to the shop. The fleet management data is constantly updated based on operational data sent from the engines as well as line maintenance and shop data. The approach is illustrated along the real application on the CFM56-5C, a mature commercial two-spool high bypass engine installed on the Airbus A340-300. It can be shown, that the new methodology results in major improvements on the considered fleets.

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