Core Depot Maintenance Policy and the Impact on CINCs.

1997 ◽  
Author(s):  
Kerry M. Brown
Keyword(s):  
Maintenance Policy ◽  
Depot Maintenance ◽  
The Impact

Training and Skills Requirements for British Rail Depot Maintenance Staff

1988 ◽  
Vol 202 (2) ◽  
pp. 119-124 ◽  
Author(s):  
J P Crosby
Keyword(s):  
Electrical Engineering ◽  
Training Programme ◽  
Rolling Stock ◽  
Maintenance Policy ◽  
Training Strategy ◽  
Training Requirements ◽  
Depot Maintenance ◽  
Regional Workshop ◽  
Training Schemes ◽  
The Impact

The changing technologies and skill requirements in the maintenance of traction, rolling stock and plant and machinery have demanded a reappraisal of the training requirements for mechanical and electrical engineering regional workshop staff. This has led to the development of a modular training programme, which includes segments of training appropriate to the work location and the potential of the individuals. An investigation of conventional training schemes within British Rail's Mechanical and Electrical Engineering Department was undertaken. The training procedures operating in other transport organizations were also analysed. All types of work progressed in mechanical and electrical engineering areas and depots have been considered, including coach body making, plumbing, welding, as well as fitting and electrical work. Proposals in respect of mechanical and electrical engineering depot strategy which incorporates the impact of design and development of new products have also been considered. Also included are the implications of the significant change in the maintenance policy introduced in April 1987 for all British Rail's traction and rolling stock, with its emphasis on component changing. The information gathered from these various sources has enabled key areas for training development to be identified and the future training strategy to be formulated.

scholarly journals An optimal production/maintenance strategy under lease contract with warranty periods

2016 ◽  
Vol 22 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Zied Hajej ◽  
Nidhal Rezg ◽  
Gharbi ali
Keyword(s):  
Failure Rate ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Production Rates ◽  
Optimal Production ◽  
Content Type ◽  
Total Cost ◽  
Lease Contract ◽  
Optimal Maintenance ◽  
The Impact

Purpose – The purpose of this paper is to investigate the optimal production policy and maintenance strategy for leased equipment under a lease contract with warranty periods. In order to have steady revenue, the lessor (owner) of the equipment may provide guaranty periods to encourage the lessee to sign a lease contract with a longer lease period. Design/methodology/approach – Under this production/maintenance scheme, the mathematical model of the expected total cost is developed and the optimal production planning and the corresponding optimal maintenance policy are derived by choosing the optimal warranty periods for the lessee in order to minimize the total cost. Findings – The influence of the production rates variation in the equipment degradation is considered by an increased failure rate according to both time and production rates. The impact of warranty periods on optimal maintenance planning will be studied thereafter. Finally, numerical examples are given to illustrate the analytical study and the effects of the warranty periods variation during the lease periods on the maintenance policy and consequently on the total cost. Originality/value – The paper proposes a new idea of production and maintenance coupling in the leasing aspect. This study shows that it has a novelty and originality relative to this type of problem which considers and proposes a new maintenance strategy for leasing contract. This originality characterized by the influence of two factors on the equipment maintenance strategy. First factor is the influence of the production variation production rates on the machine degradation degree that is new in the literature charactering by analytical equation that shows the evolution of the machine failure rate according to its use (which is in our case the production rate for each period) respecting in the same time the continuity of the equipment reliability for a period to another.

Eastern European welfare states: the impact of the politics of globalization

2000 ◽  
Vol 10 (2) ◽  
pp. 146-161 ◽  
Author(s):  
Bob Deacon
Keyword(s):  
Social Policy ◽  
Global Economy ◽  
Social Problems ◽  
Transition Process ◽  
Welfare States ◽  
Social Costs ◽  
Early Years ◽  
Maintenance Policy ◽  
Transition To Capitalism ◽  
The Impact

This article is divided into four parts. First there is a summary of the social policy of the old state-socialist regimes, some description of the legacy of social problems which they bequeathed to those making the transition to capitalism and a brief summary of the major social costs of the early years of the transition process. Second, the broad social-policy strategies of the new governments of Eastern Europe and the former USSR are reviewed as they have attempted to manage both the legacy of social problems from the past and the new social costs of transition. Third, in more detail developments in five specific fields are described: levels of public expenditure on social welfare; income maintenance policy; health and medical care; housing; and education. The article concludes by attempting to explain these changes, asking whether the policy changes have been motivated by a perceived need to reduce social provision, with a view to becoming more competitive within the global economy.

scholarly journals Optimal Condition-Based Maintenance Strategy for Multi-Component Systems under Degradation Failures

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4346
Author(s):  
Kui Wang ◽  
Chao Deng ◽  
Lili Ding
Keyword(s):  
Critical Level ◽  
Condition Based Maintenance ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Optimal Monitoring ◽  
Long Run ◽  
Component Systems ◽  
Maintenance Decision ◽  
The Impact

This paper proposes a condition-based maintenance strategy for multi-component systems under degradation failures. The maintenance decision is based on the minimum long-run average cost rate (LACR) and the maximum residual useful lifetime (RUL), respectively. The aim of this paper is to determine the optimal monitoring interval and critical level for multi-component systems under different optimization objectives. A preventive maintenance (PM) is triggered when the degradation of component exceeds the corresponding critical level. Afterwards, the paper discusses the relationship between the critical level and the monitoring interval with regards to the LACR and RUL. Methods are also proposed to determine the optimal monitoring interval and the critical level under two decision models. Finally, the impact of maintenance decision variables on the LACR and RUL is discussed through a case study. A comparison with conventional maintenance policy shows an outstanding performance of the new model.

scholarly journals Investigating the impact of social sustainability within maintenance operations

2015 ◽  
Vol 21 (3) ◽  
pp. 310-331 ◽  
Author(s):  
Matteo M. Savino ◽  
Marco Macchi ◽  
Antonio Mazza
Keyword(s):  
Social Issues ◽  
Age Factors ◽  
Maintenance Policy ◽  
Age And Gender ◽  
Content Type ◽  
Gender And Age ◽  
Maintenance Policies ◽  
And Gender ◽  
The Impact ◽  
Criticality Analysis

Purpose – The purpose of this paper is to primarily focus on labor in maintenance areas, addressing human rights issues, labor standards and safety standards. The main issue is to investigate how these factors are considered to drive the prioritization of maintenance interventions within maintenance plans. In particular, a method for criticality analysis of production equipment is proposed considering specific labor issues like age and gender, which can be useful to steer maintenance plans toward a more social perspective. Design/methodology/approach – The authors focus on the two main social issues of SA 8000 norms, age and gender, exploring how these issues may drive the selection of maintenance policies and the relative maintenance plans. The research is conducted through fuzzy analytical hierarchy process (AHP) implemented within a failure mode effects analysis (FMEA). Findings – The research is conducted through fuzzy AHP implemented within a FMEA. The maintenance plans resulting from the FMEA driven by social issues are evaluated by a benchmark of three different scenarios. The results obtained allowed the firm to evaluate maintenance plans, considering the impact on workers’ health and safety, the environment, social issues like gender and age. Research limitations/implications – One of the main limitation of this research is that it should also encompass maintenance costs under social and safety perspective. The method developed should be extended by further study of maintenance planning decisions subject to budget constraints. Moreover, it would be worth evaluating the effect of adopting more proactive maintenance policies aimed at improving plant maintainability in view of what emerged during the test case in the presence of an aged workforce and the subsequent need to prevent and/or protect people from hidden risks. Practical implications – With reference to the results obtained from the two models of this scenario, the authors observed an increase of equipment criticality, from B class to the A class, and similarly from C class to B class. No equipment has reduced its criticality. This depends on the particular context and the relative weights of drivers indicated in its AHP matrixes. Social implications – The paper addressed the main social implication as well as other social issues represented by age and gender factors, which are normally neglected. The Action Research (AR) proved the effects resulted from considering either gender factor or gender and age factors at the same time for maintenance policy selection. All in all, an increase of criticality is evident even if “people” is a driver with less importance than “environment” and “structures.” Originality/value – The present work focussed on a new definition of a criticality ranking model to assign a maintenance policy to each component based on workers’ know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and AHP to overcome uncertainties, which can rise during a decision process when there is a need to evaluate many criteria, ranging from economic to environmental and social dimensions.

scholarly journals The impact of summer heatwaves on railway track geometry maintenance

2021 ◽  
pp. 095440972098429
Author(s):  
Ben Davies ◽  
John Andrews
Keyword(s):  
Asset Management ◽  
Response Times ◽  
Railway Track ◽  
Management Support ◽  
Maintenance Policy ◽  
Management Tools ◽  
Support Tool ◽  
Track Geometry ◽  
Maintenance Activities ◽  
The Impact

Elevated summer temperatures are a disrupting factor on the rail network. Due to the risk of a track buckling under thermal expansion forces, geometry maintenance must be delayed during heatwaves, leading to an overall decreased network availability and reliability. Track asset management support tools are used to plan and schedule a variety of maintenance activities, with tamping and stoneblowing being the primary activities for geometry maintenance. No management tools seen in the literature consider the influences of weather on the scheduling and delivery of maintenance. This paper describes a Petri net modelling approach to railway track asset management. This is demonstrated to be a highly flexible method able to capture the complexities of degradation, inspection, and maintenance, and predict the evolution of track geometry quality over time. Different maintenance strategies are tested, varying the degradation thresholds, inspection intervals, policy decisions, and maintenance response times. Excessively hot weather is introduced as an inhibiting factor for all maintenance activities, resulting in extended periods where interventions are delayed. Simulation results show that frequent inspection and timely maintenance scheduling strategies could be followed to attain a highly performing and resilient track system. This asset management support tool could be added to the suite used by the rail industry, providing guidance on maintenance policy through a summer season where heatwave disruptions are expected.

Maintenance work for heritage buildings in Malaysia: owners’ perspectives

2019 ◽  
Vol 31 (1) ◽  
pp. 186-195 ◽  
Author(s):  
Umi Kalsum Zolkafli ◽  
Norhanim Zakaria ◽  
Aina Mohammad Mazlan ◽  
Azlan Shah Ali
Keyword(s):  
Value Added ◽  
Simple Random Sampling ◽  
Peninsular Malaysia ◽  
Maintenance Policy ◽  
Content Type ◽  
Heritage Buildings ◽  
Maintenance Work ◽  
Questionnaire Surveys ◽  
The Impact

Purpose The purpose of this paper is to establish the impacts of good maintenance work for heritage buildings in Malaysia. This purpose is achieved through identifying factors that lead to the lack of maintenance of heritage buildings, establishing strategies to overcome the lack of maintenance of heritage buildings and analyzing the impact of good maintenance work on heritage buildings in Malaysia. Design/methodology/approach A quantitative method was employed for this study to identify the variables that most influence the maintenance of heritage buildings in Malaysia. The respondents were the owners of the heritage buildings in Peninsular Malaysia. There were 65 owners of heritage buildings identified from the official website of the Department of National Heritage, Ministry of Tourism and Culture, Malaysia. Simple random sampling was used to obtain the sample size of the targeted respondent. A total of 56 questionnaire surveys were distributed to the owners of heritage buildings. In total, 37 respondents returned the completed questionnaires, resulting in a response rate of 66 percent. The data were analyzed by Descriptive Statistics using Statistical Package for the Social Science software version 20. Findings Results show that the factors that lead to the lack of maintenance of heritage buildings are limited finance, the absence of maintenance guideline and ill-defined maintenance policy. The strategies to overcome the problem include providing a financial budget by the respective authorities, establishing a standard maintenance guideline and revising the existing policy. Research limitations/implications The paper is limited to the identification of factors that lead to a lack of maintenance and strategies to overcome the problem for the heritage buildings in Malaysia. The respondents are the owners of heritage buildings in Malaysia. The focus is given to them due to the fact that it will help them in understanding the importance of managing and operating for their buildings. Practical implications The results offer value-added information to building managers who are responsible for maintaining heritage buildings. Findings show that good maintenance work on heritage buildings can enhance the value and safety of the building as well as preventing heritage buildings from deteriorating. Social implications The quality of maintenance could be enhanced by focusing on the important variables that affect the quality of maintenance works of heritage buildings. Originality/value Limited studies had been carried out in the context of the maintenance of heritage buildings, especially in Malaysia.

An improved imperfect maintenance strategy for multiperiod randomly failing equipment with stochastic repair times

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofiene Dellagi ◽  
Mohamed Noomane Darghouth
Keyword(s):  
Failure Rate ◽  
Planning Horizon ◽  
Maintenance Cost ◽  
Equipment Failure ◽  
Maintenance Strategy ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Content Type ◽  
Proposed Model ◽  
The Impact

PurposeIn this paper, a maintenance strategy based on improved imperfect maintenance actions with stochastic repair times for multiperiod randomly failing equipment is developed. The main objective is to minimize the total maintenance cost by jointly finding the optimal preventive maintenance (PM) cycle and planning horizon.Design/methodology/approachA model based on the mathematical theory of reliability is developed to minimize the total maintenance cost by jointly finding the optimal couple: PM cycle T* and planning horizon H*. The proposed model aims to characterize the evolutionary impact of imperfect PM actions on the equipment failure rate and the resulting mean number of failures. The conventional threshold accepting (TA) algorithm is implemented to solve the proposed model. A numerical example for a given set of input parameters is presented in order to show the usefulness of the proposed model. A sensitivity analysis of some of the key parameters is performed to demonstrate the coherence of the developed maintenance policy.FindingsThe obtained results showed a sensitive trade-off between PM frequency and the total maintenance cost. Performing PM actions more frequently helps significantly to reduce the expected number of corrective maintenance actions and the corresponding total cost. It has also been found that improving the efficiency of the PM actions allows for maintaining the equipment less frequently by increasing the time between successive PM actions.Research limitations/implicationsGiven the complexity of the objective function to be minimized and the stochastic nature of the model's parameters, the authors limited this study to equally cyclic production periods over the planning horizon.Practical implicationsThe present model aims to provide an integrated maintenance/production comprehensive framework to assist planners in establishing maintenance schedules considering multiperiod randomly failing production systems and the evolutionary impact of imperfect PM actions on the equipment failure rate.Originality/valueContrary to the majority of existing works in the literature dealing with maintenance strategies, the authors consider that repair times are stochastic to provide a more realistic framework. In addition, the developed model considers the impact of imperfect maintenance on the equipment's mean time to failure. Thus, the evolutionary impact of imperfect PM actions on the equipment failure rate and the resulting mean number of failures is characterized. Simultaneously, the production planning horizon along with the length of each PM cycle is optimized in order to minimize the total maintenance cost over the planning horizon.

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