Preventive maintenance models with random maintenance quality

In real-world environments it is usually difficult to specify the quality of a preventive maintenance (PM) action precisely. This uncertainty makes it problematic to optimise maintenance policy.-This problem is tackled in this paper by assuming that the-quality of a PM action is a random variable following a probability distribution. Two frequently studied PM models, a failure rate PM model and an age reduction PM model, are investigated. The optimal PM policies are presented and optimised. Numerical examples are also given.

Modelling, simulation and optimization of maintenance considerations on condition based maintenance

Globalization has increased the pressure on organizations and companies to operate in the most efficient and economic way. This tendency promotes that companies concentrate more and more on their core businesses, outsource less profitable departments and services to reduce costs. By contrast to earlier times, companies are highly specialized and have a low real net output ratio. For being able to provide the consumers with the right products, those companies have to collaborate with other suppliers and form large supply chains. An effect of large supply chains is the deficiency of high stocks and stockholding costs. This fact has lead to the rapid spread of Just-in-Time logistic concepts aimed minimizing stock by simultaneous high availability of products. Those concurring goals, minimizing stock by simultaneous high product availability, claim for high availability of the production systems in the way that an incoming order can immediately processed. Besides of design aspects and the quality of the production system, maintenance has a strong impact on production system availability. In the last decades, there has been many attempts to create maintenance models for availability optimization. Most of them concentrated on the availability aspect only without incorporating further aspects as logistics and profitability of the overall system. However, production system operator’s main intention is to optimize the profitability of the production system and not the availability of the production system. Thus, classic models, limited to represent and optimize maintenance strategies under the light of availability, fail. A novel approach, incorporating all financial impacting processes of and around a production system, is needed. The proposed model is subdivided into three parts, maintenance module, production module and connection module. This subdivision provides easy maintainability and simple extendability. Within those modules, all aspect of production process are modeled. Main part of the work lies in the extended maintenance and failure module that offers a representation of different maintenance strategies but also incorporates the effect of over-maintaining and failed maintenance (maintenance induced failures). Order release and seizing of the production system are modeled in the production part. Due to computational power limitation, it was not possible to run the simulation and the optimization with the fully developed production model. Thus, the production model was reduced to a black-box without higher degree of details.

Análise e otimização de processo no departamento de manutenção de uma empresa industrial

As empresas no século XXI têm necessidade de reduzir os seus custos de manutenção para serem competitivas num mercado cada vez mais global, implementando a Manutenção Lean no setor diretamente responsável pela Manutenção e também estender a toda a organização. Este trabalho foi realizado no âmbito do estágio efetuado na empresa Lameirinho, empresa líder de Têxtil-Lar, localizada na zona de Guimarães e que possui um Departamento de Manutenção onde a fiabilidade e disponibilidade dos equipamentos é um aspeto importante bem como a sua manutenção a custos reduzidos. Assim, tendo como objetivo a melhoria do Departamento de Manutenção da empresa Lameirinho foi efetuada uma auditoria de Manutenção Lean com o intuito de determinar o estado atual, foram identificados problemas e oportunidades de melhoria bem como foram apresentadas soluções para os mesmos. Os benefícios que se obtêm com a implementação das soluções são, entre outros: melhor planeamento das intervenções de Manutenção com alocação no momento necessário dos recursos humanos e a disponibilização de peças assim como as intervenções de manutenção serem efetuadas quando a Produção menos necessita do equipamento produtivo; redução e eliminação das intervenções de Manutenção Corretiva de Emergência; redução dos custos de Manutenção na globalidade da empresa através dos benefícios obtidos e com impacto direto nos resultados económicos da empresa.

Manutenção e reabilitação de edifícios de saúde

Trabalho de Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Estruturas

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics

Evidencing and Sharing Value with Decision Making Models in an Industrial Maintenance Network

The objective of this thesis is to concretize the potential benefits that the industrial maintenance case network could achieve through using the value-based life-cycle model and the flexible asset management model. It is also inspected what factors prevent value creation and sharing in the maintenance contract practices of the case network. This thesis is a case study which utilizes modelling. Four scenarios were developed to demonstrate value creation in the future. The data was partly provided by the collaborating company, partly gathered from public financial statement information. The results indicate that value has been created through the past maintenance of the collaborating company’s rod mill and that profitability of the collaborating company has been mostly on satisfactory level during the past few years. Potential value might be created by increasing the share of proactive maintenance of the rod mill in the future. Profitability of the network could be improved in the future through flexible asset management operations. The main obstacle for value creation and sharing seems to be the lack of sufficient trust between the network members.

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics

Dominance and the maintenance of polymorphism in multiallelic migration-selection models with two demes

The maintenance of genetic variation in a spatially heterogeneous environment has been one of the main research themes in theoretical population genetics. Despite considerable progress in understanding the consequences of spatially structured environments on genetic variation, many problems remain unsolved. One of them concerns the relationship between the number of demes, the degree of dominance, and the maximum number of alleles that can be maintained by selection in a subdivided population. In this work, we study the potential of maintaining genetic variation in a two-deme model with deme-independent degree of intermediate dominance, which includes absence of G x E interaction as a special case. We present a thorough numerical analysis of a two-deme three-allele model, which allows us to identify dominance and selection patterns that harbor the potential for stable triallelic equilibria. The information gained by this approach is then used to construct an example in which existence and asymptotic stability of a fully polymorphic equilibrium can be proved analytically. Noteworthy, in this example the parameter range in which three alleles can coexist is maximized for intermediate migration rates. Our results can be interpreted in a specialist-generalist context and (among others) show when two specialists can coexist with a generalist in two demes if the degree of dominance is deme independent and intermediate. The dominance relation between the generalist allele and the specialist alleles play a decisive role. We also discuss linear selection on a quantitative trait and show that G x E interaction is not necessary for the maintenance of more than two alleles in two demes.

Organizational, intermediate (field), (direct and general support), and depot maintenance repair parts and special tools list : engine, gasoline, 6 HP, military standard models, DOD model 4A032-1, 4A032-2, NSN 2805-00-776-0483, 2805-00-068-7512.

"April 1977."

Aviation unit and aviation intermediate maintenance manual : Army models U-21G, RU-21E, and RU-21H.

"31 December 1976"--Vol. 2.

Field and depot maintenance : magnetos, ignition, assemblies, 2920-593-6456 and 2920-640-7743 (American Bosch types MRE6A43 and MRE6A41), end item application, engine, gasoline, 6-cylinder, continental models AOI-402-5 ... 12-cylinder, continental models AV-1790-5B ....

"April 1959."

Direct support, general support and depot maintenance manual, including repair parts and special tools lists for engine, with container, turbosupercharged, diesel, fuel injection, 90-degree "V" type, air cooled, 12-cylinder, assembly; models AVDS-1790-2M (2815-856-4996), AVDS-1790-2A and AVDS-1790-2AM (2815-856-9005).

Includes indexes.

Direct support and general support maintenance repair parts and special tools lists (including depot maintenance allowances) : engine w/container assembly, Continental models AOSI-895-5 and AOSI-895-5M (2805-649-8851).

"December 1971."

Ordnance field and depot maintenance : starter, engine, assembly 2920-753-8988, 2920-141-9508, and 2920-620-6821 (Jack & Heintz models D30, D42, and 20074-000).

"August 1959."

Direct support and general support maintenance manual for engine, with container, turbosupercharged, diesel, fuel injection, 90-degree "V" type, air-cooled, 12-cylinder, assembly; models AVDS-1790-2C, 2815-00-410-1203 and AVDS-1790-2D, 2815-00-410-1204.

Includes index.