scholarly journals A simulation model of inventory stock usage and its adequacy assessment for aircraft

Author(s):  
I.N. Chepko ◽  
S.A. Serebryanskiy ◽  
D.V. Bogomolov ◽  
M.V. Trofimchuk ◽  
I.V. Gerasimov

The paper focuses on the main components of the logistics planning process and justifies the connection between the qualitative planning of the required number of units and the availability factor of aircraft. We consider the potential of simulation modeling as applied to the study of the complex systems behavior, and substantiate the application of such modeling in the inventory planning and control system for the operation of state aircraft. It was found that the availability factor, the health coefficient and the cost of purchasing spare parts can serve as efficiency criteria. The increased aircraft availability or serviceability is achieved by minimizing downtime due to the lack of spare parts. In our research we describe the simulation model of inventory stock usage and test the model for aircraft operating as part of an aviation regiment. The simulation model showed almost complete coincidence with the results of an analytical model of a queuing system. This means that when planning material and technical support, on the basis of this simulation model, it is possible to build more complex models for analyzing multi-inventory stocks without applying a complex mathematical apparatus. The model can be used as a tool for planning the required number of units for the operation of state aircraft.

IJOSTHE ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
R. Mayur ◽  
Baibhav Kumar

Reordering motor vehicle spare parts for the purposes of stock replenishment is an important function of the parts manager in the typical motor dealership. Meaningful reordering requires a reliable forecast of the future demand for items. Production planning and control in remanufacturing are more complex than those in traditional manufacturing. Developing a reliable forecasting process is the first step for optimization of the overall planning process. In remanufacturing, forecasting the timing of demands is one of the critical issues. The current article presents the result of examining the effectiveness of demand forecasting by time series analysis in auto parts remanufacturing. A variety of alternative forecasting techniques were evaluated for this purpose with the aim of selecting one optimal technique to be implemented in an automatic reordering module of a real time computerized inventory management system.


2021 ◽  
Vol 2021 (23) ◽  
pp. 20-30
Author(s):  
Taras Pechonchyk ◽  
◽  
Vitaliy Ivanchenko ◽  

AbstractIntroduction. Effective management of road indstry is particularly important in conditions of limited funding, as it is not possible to provide adequate funding of the economic entity that has the functions of a customer service. The cost of the customer service maintenance depends directly on the compliance with applicable regulations for these works cost determination. One of the aspects that form a considerable part of the costs of customer service is the maintenance of service vehicles.Problem Statement. Road services in the regions (hereinafter RSR) are the recipients and managers of the funds from the State Budget of Ukraine that are directed for the development and maintenance of public roads of state importance, being as well the asset holders of these roads. To perform their functions, the RSR have vehicles on their balance, the use of which involves a number of costs, including fuel and lubricants, repair, maintenance, replacement of tires, etc. The most important of the steps involved in setting the costs of vehicle maintenance is the process of cost planning. Planning has to be based on the structure of the vehicle fleet (own or leased), functional responsibilities and scope of road works.Planning is carried out for vehicles on the balance of the RSR, as well as for leased vehicles. In the case of leasing, the costs mentioned above are added by the vehicles leasing costs. These costs must be forecasted, justified and performed within the approved cost estimates of the customer service expenses.Purpose. The purpose of the article is to highlight the theoretical and methodological approaches to the calculation of planned costs for the maintenance of service vehicles of the road works customer.Materials and methods. Dialectical methods of knowledge, such as analysis and synthesis of fleet composition characteristics and approaches to cost planning methods, as well as induction, were used in writing the article to explore some aspects of the process of calculating the planned cost of maintenance of the road works customer's service vehicles.Results. The study highlights and describes the main approaches to the calculation of planned costs for the maintenance of service vehicles of the road works customer. The methodology of calculation of planned costs for the maintenance of service vehicles is explored.Conclusions. The introduction of a clear methodology and analytical toolkit for calculating all necessary expenditure items for the maintenance of the road works customer's vehicles in the cost planning process will establish the implementation of a clear mechanism for calculating the planned costs of maintenance of the road works customer's vehicles. It will also provide an automated information-analytical complex for planning of cost estimates, with information entry and reporting in standard forms and possibility of prompt response to changes in fleet composition, needs for spare parts, repairs or other expenses for the maintenance of service vehicles and making changes in cost estimates.Keywords: motor vehicles, costs, cost planning, customer service, maintenance of service vehicles


2020 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
Novi Swandari Budiarso ◽  
Winston Pontoh

The manufacturing firms have implicit and explicit goals and objectives. In order to achieve these goal and objective then manager needs accounting information. The accounting information created and used by management is intended primarily for planning and control decisions. One of the accounting information is cost accounting that can be used as a tool for planning the profit as the objective of the companies. Manufacturing costs are identified as variable costs or fixed costs under cost behavior analysis. Regression analysis is the one of the cost estimation methods in term to estimate the fixed costs and variable costs where the results of estimation are used to calculate the contribution margin.


2015 ◽  
Vol 105 (04) ◽  
pp. 215-219
Author(s):  
B. Denkena ◽  
A. Georgiadis

Die Produktionsplanung und -steuerung (PPS) steht bei der Instandhaltung komplexer Produkte vor der Herausforderung, mittelfristig Entscheidungen ohne detaillierte Kenntnis des Bauteilzustandes treffen zu müssen. Je nach Bauteildiagnose sind dann kurzfristig die Fertigungskapazitäten und Lagerbestände anzupassen. Die getroffenen Entscheidungen beeinflussen die Wirtschaftlichkeit des gesamten Instandhaltungsprozesses maßgeblich. Im Rahmen des Fachbeitrags wird eine simulationsbasierte Methode vorgestellt, um die PPS in der Instandhaltung mittels Ersatzteildisposition und Reihenfolgebildung zu optimieren. Dabei werden die Entwicklung und Ergebnisse des Ansatzes zur Ersatzteildisposition beschrieben.   Production planning and control (PPC) systems concerned with maintaining complex products are faced with the challenge of making decisions without knowing the product’s condition. After the diagnosis, the production and warehouse capacities are adapted at short notice. This article presents a simulation-based method for optimizing PPC in maintenance companies. It focuses on the development and the results of a new approach for the management of spare parts.


2015 ◽  
Vol 734 ◽  
pp. 868-872
Author(s):  
Yan Ping Sun ◽  
Mo Zhou ◽  
Guo Wang

A novel topology circuit of active compensation was discussed to be used to manage negative sequence caused by locomotive load in electrified railway. The main circuit used a three-phase two-leg compensator as active elements of shunt hybrid active compensator topology. The number of switch device in this topology was reduced by comparing with three-phase full-bridge active inverter and the cost was lower. The simulation model was developed with SIMULINK. The simulating results indicates that the shunt hybrid active compensator can restrain the problem of negative sequence which generated by locomotive load, and reduces the effect of reactive power, negative sequence, improves electric energy quality and verifies the correctness of the proposed structure and control method.


Metamorphosis ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Rakesh Kumar ◽  
Samir K. Srivastava

Sales and Operations Planning (S&OP) initially came to existence in manufacturing in the late 1980s and has been around for about three decades now. It is the long-term collaborative planning process of production levels relative to sales within the realm of a manufacturing planning and control system at the Stock Keeping Unit (SKU) level. S&OP has evolved into a major business process adopted to manage the balance and trade-off between the conflicting preferences of the supply and demand side of the supply chain and offers many value creation opportunities. It is one of the most critical business processes used to achieve best in class performance to consistently outperform competitors. It is increasingly being viewed as essential to synchronise the entire supply chain in order to improve its efficiency, as once the S&OP process is institutionalised, it will enhance supply chain efficiency in the long run. It will also help the supply chain partners to understand and overcome supply chain risks resulting from market volatility. For this, firms must develop and deploy excellent leadership capabilities so that S&OP processes are in place and supported well within and across the supply chain. Although easy to understand, S&OP can be difficult to implement. Explaining the importance and working of S&OP, defining the key S&OP objectives and the role of people, process and technology, this article tries to address many evolving S&OP related operational issues from the people, process and supply chain perspective. It also prescribes practical ways to improve and institutionalise a strong S&OP process within a firm and consequently across the supply chain. Thereafter, it provides a useful framework to forecast ownership and suggests as to what should be discussed in S&OP meetings. Finally, it highlights the need to align the plans on a continuous basis and suggests a framework for the same.


Author(s):  
T B Dawes ◽  
N J Boughton

This paper describes prototype management information systems used to support the transformation of a job-orientated manufacturer into a preferred supplier to the Aerospace Industry. As a jobbing manufacturer the company excelled at reactive management, responding rapidly to short lead-time demands. This approach, however, was inappropriate for the increasingly competitive production of steady state orders (‘runners’) and spare parts orders (‘repeaters’). As a result, the company experienced falling delivery performances and increasing work-in-progress, inventory levels and overtime requirements. Furthermore, there was only a modest understanding of customer requirements due to the poor visibility of the order book. There was also little awareness of internal and supplier capabilities, and the planning and control systems were non-existent, relying heavily on senior management expertise. The company, however, was reluctant to invest in new management information systems, aware of the risk of expensive systems unsuited to the company requirements. Instead, prototype solutions were developed using low-cost and readily available software, which provided the stability and visibility that the company required and formed the basis of a more long-term understanding of planning and control requirements. This paper describes the iterative prototype developments to support the new company infrastructure and quantifies the benefits that were achieved through their introduction.


2021 ◽  
pp. 25-32
Author(s):  
Dinara Olzhabayeva ◽  
Maria Petrovskaya Vladimirovna

This article discusses the features of using a multi-level simulation model of financial and economic forecasting when planning the activities of an enterprise operating in the railway industry, in particular in the segment of national and international freight transportation. The authors set a goal to show how, through the use of a multi-level simulation model of forecasting, it is possible to significantly increase the reliability of organizational and managerial decisions and ensure a more efficient allocation of resources and reduction of financial risks. The model constructed by the authors can be used to optimize costs, improve the quality of settlements with debtors and creditors, plan the cost and other indicators of financial and economic activity, the ability to build various forecast scenarios allows you to choose the most acceptable option for the company, taking into account the impact of key factors on the financial result and the level of financial risk.


2020 ◽  
Author(s):  
Huajie Jin ◽  
Haiyin Wang ◽  
Xiao Li ◽  
Weiwei Zheng ◽  
Shanke Ye ◽  
...  

Background COVID-19, an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), swept through China in 2019-2020, with over 80,000 confirmed cases reported by end of March 2020. This study estimates the economic burden of COVID-19 in 31 provincial-level administrative regions in China between January and March 2020. Methods The healthcare and societal cost of COVID-19 was estimated using bottom-up approach. The main cost components included identification, diagnosis and treatment of COVID-19, compulsory quarantine and productivity losses for all affected residents in China during the study period. Input data were obtained from government reports, clinical guidelines, and other published literature. The primary outcomes were total health and societal costs. Costs were reported in both RMB and USD (2019 value). Outcomes The total estimated healthcare and societal cost associated with the outbreak is 4.26 billion RMB (0.62 billion USD) and 2,647 billion RMB (383 billion USD), respectively. The main components of routine healthcare costs are inpatient care (41.0%) and medicines (30.9%). The main component of societal costs is productivity losses (99.8%). Hubei province incurred the highest healthcare cost (83.2%) whilst Guangdong province incurred the highest societal cost (14.6%). Interpretation This review highlights a large economic burden of the recent COVID-19 outbreak in China. These findings will aid policy makers in making informed decisions about prevention and control measures for COVID-19. Funding The author(s) received no financial support for the research, authorship, and/or publication of this article.


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