Life Cycle Cost Of Equipment Research Articles

Research on the evaluation method of power grid equipment input–output efficiency based on LCC

The quantitative evaluation of the comprehensive efficiency of the equipment has important significance for making accurate maintenance and other decisions. From the perspective of equipment life cycle cost, this paper constructed the fixed cost function and dynamic cost function of power equipment and obtained the economic life model. The total cost of the whole life cycle of the optimal economic life was obtained by the derivation method. Then, a comprehensive performance evaluation index system including reliability, availability, maintainability and economy had been established. The comprehensive efficiency evaluation model based on economic life and the equipment maintenance optimization model based on comprehensive efficiency evaluation were designed. At last, taking 35 kV circuit breaker as an example, the economic life model and comprehensive efficiency evaluation model were analyzed and calculated. The results proved the correctness of the comprehensive efficiency evaluation model designed in this paper, which could provide technical guidance and support for the selection and maintenance of power equipment.

Разработка календарно-плановых производственных показателей на основе модели жизненного цикла оборудования

The article is devoted to the problem of substantiation and regulation of calendar and planned production indicators. Estimation of the equipment life cycle cost at the stage of investment in its acquisition and commissioning will make it possible to make decisions on the usefulness period, on the indicators of production capacity and the level achieved, on the permissible values of equipment downtime, the expediency of working on its maintenance and other indicators related to the use of production equipment.

Optimisation of medical equipment replacement using stochastic dynamic programming

In this paper, the medical equipment replacement strategy is optimised using a multistage stochastic dynamic programming (SDP) approach. The outcome is an optimal path which shows whether to keep an existing piece of medical equipment (defender) or replace it with a more economical alternative (challenger). We assume that each decision can result in a number of different possible outcomes, each with a known probability. Contrary to deterministic dynamic programming, the state at the next stage is not completely determined by the state and policy decision at the current stage. Instead, the next stage depends on the operation and maintenance cost which is modelled as a stochastic variable. A Keep-Replace sequence of the highest returns (lowest costs) is the result of solving the problem using forward decision making. The benefit of the SDP solution versus that of keeping medical equipment until the end of its expected life is investigated for three scenarios: (1) no revenue for the defender and the challenger, (2) equal revenues for both, and (3) higher revenue for the challenger. The percentage of benefits relative to the current acquisition cost for the three scenarios are 616.9%, 728.2%, and 789.29%, respectively. Each percentage represents the relative difference between the equipment life cycle cost of the optimal sequence and that of the conventional sequence.

Research on Equipment Life Cycle Cost Prediction Based on GA-LSSVM

Penalty parameter γ and kernel parameter σ 2 are two important parameters of LSSVM. In this paper, the GA-LSSVM prediction model is constructed, which the genetic algorithm was used to optimize the parameters. Comparing with LSSVM model, the GA-LSSVM model improves the disadvantage that the parameters can only obtained by experience. Also in order to check model prediction accuracy, the posterior difference method(PDM) was used. The calculation results show that the GA-LSSVM model has higher prediction accuracy than other models, and it is a feasible and reliable method for equipment life cycle cost prediction, also the model can be extended to other prediction fields.

Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost

Heavy civil and mining construction industries rely greatly on the usage of heavy equipment. Managing a heavy-equipment fleet in a cost-efficient manner is key for long-term profitability. To ensure the cost-efficiency of equipment management, practitioners are required to accurately quantify the equipment life-cycle cost, instead of merely depending on the empirical method. This study proposes a data-driven, simulation-based analytics to quantify the life-cycle cost of heavy equipment, incorporating both maintenance and ownership costs. In the proposed methodology, the K-means clustering and expectation-maximization (EM) algorithms are applied for input modeling to distinguish the maintenance stages, and to further generate corresponding distributions of these points. These distributions then are used to quantify the uncertainties embedded in the equipment costs through simulations. A historical data set of ownership and maintenance costs for a mining truck model was used to demonstrate the feasibility and validity of the proposed approach. This approach was proven to be effective in predicting the cumulative total cost of equipment, which provides analytical decision support for equipment-management practitioners.

Research on Purchasing Strategy of 110 kV Cable Accessories based on Life Cycle Cost Management

Cable accessories, as an important part of cable system, we often only focus on its initial acquisition costs and ignore the late costs in its life cycle. In order to maximize the economic benefits and to play the use of cable accessories, we need to introduce an equipment life cycle cost management (LCC) for 110kV cable accessories. In this paper, a life cycle cost management of 110kV cable accessories is studied, and an evaluation model of cable accessories purchase based on LCC is established. The LCC theory is applied to the bidding and purchasing of cable accessories, which can make the purchased and managed reasonably, and save the social resources effectively.

Otimização da frequência de inspeções em PSV usando análise estatística de dados

O presente trabalho demonstra como a aplicação de métodos analíticos qualitativos pode ser apoiada pela análise estatística de dados de falha de equipamentos para a determinação de uma política adequada e custo-eficiente de manutenção, de forma a reduzir o custo do ciclo de vida do equipamento. Para tal, um estudo de caso foi realizado com dados de falha e manutenção de uma amostra de válvulas de segurança e alívio (PSV) de uma unidade de produção de óleo e gás da PETROBRAS. Os dados foram classificados conforme modos de falha identificados usando uma análise de modos de falha e efeitos—FMEA, e ajustados mediante o uso da distribuição de weibull. Os resultados demonstram a possibilidade de redução de freqüência de manutenção, representando 29% de redução de eventos, sem aumento do risco, além de indicar as falhas potenciais a serem bloqueadas pelo plano de inspeção.

Research on the Application of IETM in Whole Life Cycle of Equipment

Large and complex equipments produce large quantities of data in the whole life cycle and the data stored and used in paper form is extremely inconvenient, leading to increased equipment maintenance costs and inefficient use. In order to change the status, combined with the IETM performance characteristics, a set of IETM system is developed for a certain type of airborne radar, after analyzing the structure features, functionality requirements and key technologies of weaponry IETM system platform. Proved through practice, the system can improve equipment maintenance efficiency, reduce human and material resources of the equipment maintenance and support end reduce the equipment life cycle cost.

The Study on Engineering Cost Control based on Life Cycle Costing Theory

Sewage treatment cost function model, support the important means of cost control and decision making. As environment the understanding and the understanding of the system of transport quantitative description pollutants environment has become an increasingly complex models. In addition, the construction of urban sewage treatment plants in many as models also include the understanding of the problems such as decision-making, solve the results of the analysis and assessment, policy makers need to use the experience and knowledge, because knowledge of the limitations of cognitive ability, will take a lot of uncertainty. Therefore, the author of this article, and consider the risk factors under the prerequisite of the equipment life cycle cost theory, the value of the research methods, such as engineering and technology to comprehensive and accurate control of uncertainty, ensure the integrity and rigorous study process.

Research on the Multi-Objective Optimization Model of System-Level BIT Testability Index Determination

By weighing reliability, maintainability, availability and life-cycle cost of equipment which are influenced by testability，the testability indexes of system level BIT are determined on the basis of maximum system reliability & maintainability and minimum the life-circle cost. The influence mathematical models of system reliability, maintainability, availability and life-circle cost are established. According to these mathematical models, the multi-objective optimization model of system-level BIT testability indexes is established. The multi-objective optimization model is solved using Non-dominated Sorting Genetic Algorithm II, and the validity of the multi-objective optimization model is proved through an example.

Building Equipment Life Cycle Cost Studies

The summary of building equipment life cycle cost of the meaning and detailed analysis of the life cycle cost of building equipment, and the establishment of the life cycle cost of building equipment, all the models. An engineering example life cycle cost of building equipment, the analysis shows that the whole life cycle cost method of building equipment and analysis of the scheme to reduce the cost of system, to enhance the system provided on the economy.

Optimising age-replacement and extended non-renewing warranty policies in lifecycle costing

This paper analyses the life cycle cost of equipment protected by both base and extended warranty policies from a consumer's perspective. We assume that the equipment has two types of failure: minor and catastrophic. A minor failure can be corrected with minimal repair whereas a catastrophic failure can only be removed by a replacement. It is assumed that equipment is maintained at no charge to the consumer during the warranty period, whereas the consumer is fully charged for any maintenance on failures after the extended warranty expires. We formulate the expected life cycle cost of the equipment under a general failure time distribution, and then for special cases we prove that the optimal replacement and extended warranty policies exists where the expected life cycle cost per unit time is minimised. This is examined with numerical examples.

Selecting updated version of compressor station gas cooling system with due regard for equipment life cycle cost

An approach is proposed for selecting the most efficient updated (renovated) version of gas cooling system (GCS) based on concordance of energy and economic optimization results. This approach has been put into effect in optimizing the make-up and operation conditions of heat exchanging equipment in the course of its seasonal operation (efficiency criterion-energy cost) as well as in comparing GCS design versions with complete replacement of air cooling devices (ACD) and addition of new ACDs to the existing ones (efficiency criterion-life cycle cost). A general strategy is given for selecting the updated version of GCS of compressor stations (CS), and the characteristics of major Russian-and foreign-made ACDs are compared. An example of solution to problems of compressor stations of gas pipelines (diameter 1420 mm and operating pressure 7.45 MPa) lying under climatic conditions of the central zone of Russia is given.

Reliability and Maintainability of Machinery and Equipment, Part 2: Benchmarking, Life-Cyclecost, and Predictive Maintenance

This article is the second of two that review some of the practical machinery reliability and maintainability (R&M) activities. Adhering to these R&M activities can help the builders and users of capital-intensive machineries to improve their uptime and reduce their maintenance costs. The articles are collections of some of the published work of the author, based on fifteen years of consulting work with the automotive industry. The topics covered in the first part included accessibility of machinery and assessing machine tool builder’s R&M practices. The topics covered in the second part include benchmarking best maintainability practices, cost-effectiveness of predictive maintenance, and equipment life-cycle cost analysis. These articles review the contemporary subjects on R&M. In addition, a case study is presented that offers a road map to purchasing more reliable machinery and means of maintaining it more efficiently.

Reliability and Maintainability of Machinery and Equipment, Part 1: Accessibility and Assessing Machine Tool R&M Performance

This article is the first of two that review some of the practical machinery reliability and maintainability (R&M) activities. Adhering to these R&M activities can help the builders and users of capital-intensive machineries improve their uptime and reduce their maintenance costs. The articles are collections of some of the published work of the author, based on 15 years of consulting work with the automotive industry. The topics to be covered in the first part include accessibility of machinery and assessing machine tool builders' R&M practices; those to be covered in the second part include benchmarking best maintainability practices, cost-effectiveness of predictive maintenance, and equipment life-cycle cost analysis. These articles review the contemporary subjects on R&M. In addition, a case study is presented that offers a road map to purchasing more reliable machinery and means of maintaining it more efficiently.

Waste energy recovery: An excellent investment opportunity

As energy costs increase, harnessing of waste energy in an efficient manner is becoming increasingly more important. This paper presents a new perspective on the use of Rankine cycles as applied to thermal energy from industrial waste heat and renewable sources. It shows that Rankine cycles can efficiently and in a cost-effective manner convert waste energy to power, heat pumping and cogeneration. Economics of waste energy recovery are discussed and examples of several applications are cited. It points out that life cycle cost of equipment is a more rational purchasing criteria than the first cost. Conclusions and recommendations are given for a more rapid commercialization on these new energy conserving systems.