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Journal Cover Journal of Quality in Maintenance Engineering
  [SJR: 0.851]   [H-I: 29]   [4 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1355-2511
   Published by Emerald Homepage  [312 journals]
  • Airline maintenance strategies – in-house vs. outsourced – an
           optimization approach
    • First page: 114
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose This study offers a new mathematical modeling approach to help airlines identify which types of heavy aircraft maintenance checks be performed in-house or outsourced. Design/methodology/approach This study offers a mathematical model to minimize the total cost of heavy maintenance programs over a planning period subject to performing all maintenance programs on time and other side constraints. Findings The results are very encouraging and somewhat counter-intuitive. The solutions recommend that more expensive and labor intensive checks be outsourced. A detailed analyses of the total maintenance cost breakdown is presented with implications and recommendation Originality/value To the best of our knowledge, the literature on quantitative models for airline in-house and outsourced maintenance checks is very limited. We believe the model and airline cases presented in this paper can help airlines with their strategic maintenance strategies and will initiate further studies in this important area.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:44Z
      DOI: 10.1108/JQME-08-2015-0038
  • A SWOT analysis of reliability centered maintenance framework
    • First page: 130
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose The paper aims at using well established methodology Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis – in order to identify the important factors for Reliability Centered Maintenance (RCM) implementation. Design/methodology/approach The paper demonstrates a SWOT analysis for different 19 frameworks of RCM to make a strategic decision for implementing RCM in different organizations. The various 19 frameworks are grouped together into three clusters, namely Group A, Group B and Group C based on their qualitative or theoretical, quantitative and practical approach respectively. Findings The strengths and weaknesses are identified by internal factors while the opportunities and threats are identified by external factors of an organization for each group of frameworks. Also, it was observed that each group of frameworks has a unique set of strengths and weaknesses. Research limitations/implications In this paper, the SWOT analysis for RCM implementation is limited to the comparison of various 19 RCM frameworks which are available in literatures and based on internal or external factors of an organization. Practical implications The SWOT analysis also suggests that the implementation of RCM is not an easy task for any practitioner and one should weigh in all the opportunities and threats before arriving at any strategic decision. Originality/value A unique approach applied to analysis the frameworks of RCM.The SWOT analysis of Various RCM frameworks will help the practitioner to take any strategic decision for RCM implementation in an organization
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:46Z
      DOI: 10.1108/JQME-01-2015-0002
  • Cleaning historical maintenance work order data for reliability analysis
    • First page: 146
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose Identify quality issues with using historical work order data from computerised maintenance management systems (CMMS) for reliability analysis. Develop an efficient and transparent process to correct these data quality issues to ensure data is fit for purpose in a timely manner. Design/methodology/approach This paper develops a rule-based approach to data cleansing and demonstrates the process on data for heavy mobile equipment from a number of organisations. Findings Although historical work order records frequently contain missing or incorrect functional location, failure mode, maintenance action and work order status fields we demonstrate it is possible to make these records fit for purpose by using a) data in the freeform text fields, b) an understanding of the maintenance tactics and practices at the operation, and c) knowledge of where the asset is in its life cycle. We demonstrate that it is possible to have a repeatable and transparent process to deal with the data cleaning activities. Originality/value How engineers deal with raw maintenance data and the decisions they make in order to produce a data set for reliability analysis is seldom discussed in detail. Assumptions and actions are often left undocumented. This paper describes typical data cleaning decisions we all have to make as a routine part of our analysis and presents a process to support the data cleaning decisions in a repeatable and transparent fashion.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:45Z
      DOI: 10.1108/JQME-04-2015-0013
  • Representation of replacement rules in the form of a matrix
    • First page: 164
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose The propose of the article is to represent replacement policies (rules) in the form of a matrix. Visualization of replacement rules is useful for maintenance records. Matrix representation is more effective than the verbal description usually provided, as it allows better understanding of the specifics of the different replacement rules without careful research of their mathematical models. Design/methodology/approach This approach employs mathematical models to investigate the simple conditions (requirements) for replacement of system component with illustrative examples. When comparing the different replacement rules a cost structure is applied to takes into account the nature and technology of disassembly-assembly actions for the repair unit. Findings Representation of replacement rules in the matrix form is useful when describing planned replacement models, opportunity replacement models, group replacement models and others, as well as computer modeling of the renewal process. Forming simple conditions for the replacement of system components ensures the total average repair cost is minimized. These conditions can be applied in the early stages of creating a maintenance program for the machine. Practical implications Replacement matrices can be specified in a technical manual for maintenance of machines to achieve reliable operation and to reduce repair costs. Replacement matrices can be put into practical use for maintenance records and may be included in the maintenance procedures library of CMMSs. Developed in the article, the replacement matrix, the conditions for replacement of system components and the cost structure will help engineers to make decisions at the time of repair for assembly units. Originality/value Proposed in the paper is a new approach to the visualization of the replacement rules and cost structure which simplifies the analysis of options for repair actions. The proposed technique contributes to the record of maintenance actions and the decision making process for replacement.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:43Z
      DOI: 10.1108/JQME-06-2015-0022
  • Optimal maintenance level of equipment with the multiple components
    • First page: 180
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose The purpose of the paper is to provide a method for selection of an optimum level of repair by replacement of an equipment based on its cost. In a ship where the engineer has a vast variety of equipment and systems to operate and maintain within limited time frames and availability of human resources, it is often difficult to disassemble a whole equipment to replace a faulty component. It is instead a lot easier to just replace the faulty equipment with whole new equipment. However, such a decision comes at an enormous capital cost. Therefore, the key question is, can we have a model to help us arrive at a decision on the correct level of carrying out repairs ? Design/methodology/approach The paper uses a model based on cost and convolution of failure distributions of critical sub-components of an equipment. Necessary assumptions based on real life experience have been incorporated in the model. Findings The paper used an example of a particular type of motor driven sea water centrifugal pump which was commonly used in main engine sea water system, firefighting system, Air conditioning system etc. The pump had one of the highest failure rates in the ship (approximately one failure per 150 days) and the engineers found it cost and time effective to replace the entire pump on failure rather than carrying out replacement of the failed components. The model analyzed that the engineer’s hunch wasn’t off the mark. Research limitations/implications The implication of the work presented in the paper will be savings in maintenance cost and downtime due to optimal level of repairs on a multi-component equipment. The limitations of the work are assumption of independence of failures of components. This may not be true in all the cases. Further, opportunity based maintenance has also not been considered. Originality/value The originality of the paper lies in the presentation of a method for selection of an optimum level of maintenance for a multi-component equipment
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:42Z
      DOI: 10.1108/JQME-07-2014-0043
  • Optimizing production while reducing machinery lockout/tagout
           circumvention possibilities
    • First page: 188
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose The optimization of production imposes a review of facility maintenance policies. Accidents during maintenance activities are frequent, sometimes fatal, and often associated with deficient or absent machinery lockout/tagout. Lockout/tagout is often circumvented in order to avoid what may be viewed as unnecessary delays and increased production costs. To reduce the dangers inherent in such practice, this study proposes a production strategy that provides for machinery lockout/tagout while maximizing manufacturing system availability and minimizing costs. Design/methodology/approach The joint optimization problem of production planning, maintenance and safety planning is formulated and studied using a stochastic optimal control methodology. Hamilton-Jacobi-Bellman equations are developed and studied numerically using the Kushner approach based on finite difference approximation and an iterative policy improvement technique. Findings The analysis leads to a solution that suggests increasing the “comfortable” inventory level in order to provide the time required for lockout/tagout activities. It is also demonstrated that the optimization of lockout/tagout procedures is particularly important when the equipment is relatively new and the inventory level is minimal. Research limitations/implications This paper demonstrates that it is possible to integrate production, maintenance and lockout/tagout procedures into production planning while keeping manufacturing system cost objectives attainable as well as ensuring worker safety. Originality/value This integrated production and maintenance policy complements is unique and complements existing procedures by explicitly accounting for safety measures.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:44Z
      DOI: 10.1108/JQME-04-2014-0015
  • Assessing remaining useful life of lubricant using Fourier Transform
           Infrared Spectroscopy
    • First page: 202
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 2, May 2016.
      Purpose To check the actual life of lubricating oil Design/methodology/approach Present work aims to find the remaining useful life of the lubricant based on study of periodic deterioration of oil. Chronological samples of oil were selected from the dumper of a local open cast mine. The deterioration in oil was studied using Fourier Transform Infrared Spectroscopy. Findings The data obtained from Fourier Transform Infrared Spectroscopy was used in Vector Projection approach and Analytical hierarchy process to evaluate the Remaining Useful Life of the lubricating oil. Originality/value Fourier Transform Infra Red (FTIR) spectra were used to study the periodic deterioration of oil. IR radiation with all frequencies in the range was passed through the sample. Radiations at certain frequency, depending upon the molecular structure of compounds in the sample were absorbed and rest was transmitted by the sample. A spectrum representing molecular absorption or transmission was obtained. Transmission spectra have been used in the study. Comparing the percent value of transmission peak of different chronological sample with that of fresh oil was used to represent the periodic degradation in oil.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-03-22T12:20:41Z
      DOI: 10.1108/JQME-01-2016-0001
  • Joint reliability based design and periodic preventive maintenance policy
           for systems sold with warranty
    • Authors: Mohamed Noomane Darghouth, Daoud Ait-Kadi, Anis Chelbi
      First page: 2
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose We consider a system which is a part of a complex equipment (e.g., aircraft, automobile, medical equipment, production machine, etc.), and which consists of N independent series subsystems. The purpose of this paper is to determine simultaneously the system design (reliability) and its preventive maintenance replacements periodicity which minimize the total average cost per time unit over the equipment useful life, taking into account a minimum required reliability level between consecutive replacements. Design/methodology/approach The problem is tackled in the context of reliability based design considering at the same time the burn-in of components, the warranty commitment and the maintenance strategy to be adopted. A mathematical model is developed to express the total average cost per time unit to be minimized under a reliability constraint. The total average cost includes the cost of acquiring and assembling components, the burn-in of each component, preventive and corrective replacements performed during the warranty and post-warranty periods. A numerical procedure is proposed to solve the problem. Findings For any given set of input data including components reliability, their cost and the costs of their preventive and corrective replacements, the system design (reliability) and the periodicity of preventive replacement during the post-warranty period is obtained such as the system’s total average cost per time unit is minimized. The obtained results clearly indicate that a decrease in the number of preventive maintenance actions to be performed during the post-warranty period increases the number of components to be added at each subsystem at the design stage. Research limitations/implications Given that the objective function (cost rate function) to be minimized is nonlinear and involves several integer variables, it has not been possible to derive the optimal solution. A numerical procedure based on a heuristic approach has been proposed to solve the problem finding a nearly optimal solution for a given set of input data. Practical implications This paper offers to manufacturers a comprehensive approach to look for the most economical combination of the reliability level to be given to their products at the design stage, on one hand, and the preventive maintenance policy to be adopted, on the other hand, given the offered warranty and service for the products and reliability requirements during the lifecycle. Originality/value While the reliability based design problem has been largely treated, most of the published works have focused on the development or the improvement of solving techniques used to find the optimal configuration. In this paper we provide a more comprehensive approach that considers simultaneously reliability based design, the burn-in and warranty periods, along with the maintenance policy to be adopted. We also consider the context of products whose component failures cannot be rectified through repair actions. They can only be fixed by replacement.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:10:11Z
      DOI: 10.1108/JQME-12-2014-0060
  • Ranking of barriers for effective maintenance by using TOPSIS approach
    • Authors: Rajesh Kumar Singh, ayush gupta, Ashok Kumar, Tasmeem Ahmad Khan
      First page: 18
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose In present context of globalisation, maintenance of production systems is very important. Many of the organisations are facing lot of problems in maintenance management. Therefore the purpose of this paper is to identify the main barriers in maintenance management and to rank them for effective maintenance strategies. Design/methodology/approach To rank the main barriers in maintenance management, Technique for order preference by similarity to ideal solution (TOPSIS) is used. For giving score to different factors a team of three experts was made. All experts were having more than ten years of experience in area of maintenance management. Findings Lack of top management support, lack of measurement of OEE and lack of strategic planning and implementation have emerged as top three barriers in implementation of maintenance systems in industries. Research limitations/implications Findings imply that for successful maintenance, top management should be very supportive for taking different initiatives, training programs etc. Organisations should try to improve overall performance of machines known as OEE rather than only machines productivity. Originality/value These findings will be highly useful for professionals from manufacturing sector in implementing effective maintenance management system.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:09:18Z
      DOI: 10.1108/JQME-02-2015-0009
  • An optimal production/maintenance strategy under lease contract with
           warranty periods
    • Authors: zied HAJEJ, Nidhal Rezg, Gharbi ali
      First page: 35
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose This paper investigates 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 Our 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 characterised 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
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:09:18Z
      DOI: 10.1108/JQME-08-2014-0046
  • Enhancing building maintenance cost performance with proper management of
           spare parts
    • Authors: Cheong Peng Au-Yong, Azlan Shah Ali, Faizah Ahmad
      First page: 51
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose Scheduled building maintenance requires appropriate and adequate spare parts to replace existing parts on a regular basis. Management of spare parts is seen as an important criterion to ensure the efficiency of scheduled maintenance. Thus, this paper aims to identify the contributors of spare parts management and investigate the relationship between these contributors and maintenance cost performance. Design/methodology/approach This research adopted a quantitative approach, which utilised questionnaire surveys to study the relationship between the contributors of spare parts management and maintenance cost performance. The data was analysed through descriptive analysis, correlation, and regression analysis. Additionally, a case study was examined to validate the results obtained from the survey. Findings The results of this research demonstrated that the quality of spare parts, budget allocation for acquisition of spare parts, and level of stocks were significantly correlated to the maintenance cost variance. Moreover, the results of the regression analysis indicated that the quality of spare parts was the significant predictor of maintenance cost variance. Originality/value This research highlights the importance of spare parts management in building maintenance. It recommends that maintenance management set up a spare parts management department for updating stocks frequently. Meanwhile, the management should avoid ad-hoc acquisition of spare parts, as this is always more expensive. The management should also select spare parts based on quality instead of lowest cost. In addition, building managers should also apply the developed regression model in practice to predict and improve maintenance performance.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:10:33Z
      DOI: 10.1108/JQME-01-2015-0001
  • Adapting the SHEL model in investigating industrial maintenance
    • Authors: Lasse Metso, Salla Marttonen, Nils Thenent, Linda Newnes
      First page: 62
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose The purpose of this paper is to identify and categorize problems in knowledge management of industrial maintenance, and support successful maintenance through adapting the SHEL model. The SHEL model has been used widely in airplane accident investigations and in aviation maintenance, but not in industrial maintenance. Design/methodology/approach The data was collected by two separate surveys with open-ended questions from maintenance customers and service providers in Finland. The collected data was coded according to SHEL model -derived themes and analysed thematically with NVivo. Findings We found that the adapted SHELO model works well in the industrial maintenance context. The results show that the most important knowledge management problems in the area are caused by interactions between Liveware and Software (information unavailability), Liveware and Liveware (information sharing), Liveware and Organisation (communication), and Software and Software (information integrity). Research limitations/implications The data was collected only from Finnish companies and from the perspective of knowledge management. In practice there are also other kinds of issues in industrial maintenance. This can be a topic for future research. Practical implications The paper presents a new systematic method to analyse and sort knowledge management problems in industrial maintenance. Both maintenance service customers and suppliers can improve their maintenance processes by using the dimensions of the SHELO model. Originality/value The SHEL model has not been used in industrial maintenance before. In addition, the new SHELO model takes also interactions without direct human influence into account. Previous research has listed conditions for successful maintenance extensively, but this kind of prioritization tools are needed to support decision making in practice.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:10:46Z
      DOI: 10.1108/JQME-12-2014-0059
  • Implementation of the overall equipment cost loss (OECL) methodology for
           comparison with overall equipment effectiveness (OEE)
    • Authors: Ratapol Wudhikarn
      First page: 81
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose The purposes of this article are to describe the overall equipment cost loss (OECL) methodology and an implementation of this methodology, to compare the outcomes of OECL with those of overall equipment effectiveness (OEE), and finally to identify the benefits offered by this new methodology. Design/methodology/approach The proposed methodology, OECL, combines six large loss models and a financial model in the performance evaluation of equipment. The six large losses are converted into monetary units. OECL is a new way of evaluating equipment performance that differs from the original OEE methodology and overcomes some of the limitations of OEE. This new methodology can be used to rank problematic machines by accounting for production elements together with finance elements. Findings The OECL and OEE methodologies rank problematic machines differently. Research limitations/implications Efforts were made in this research to identify factors affecting OECL outcomes, but it was found that it was not possible to apply OECL to all scenarios. Practical implications The OECL model can be implemented in a real manufacturing company to help decision-makers better determine the magnitudes of equipment problems and rank problematic pieces of equipment appropriately. Originality/value This OECL method is able to overcome some of OEE’s weaknesses. It can properly prioritise problematic machines by considering both cost and losses.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:10:13Z
      DOI: 10.1108/JQME-12-2011-0001
  • The utilization of ISO 9004: case study of the maintenance area of a
           public transportation company
    • First page: 94
      Abstract: Journal of Quality in Maintenance Engineering, Volume 22, Issue 1, March 2016.
      Purpose The continuous improvement in the performance and satisfaction of all stakeholders is a permanent management objective and part of an organisation’s strategy. To achieve this goal, organisations invest in technological upgrades, process improvements and management models that assure efficiency. This paper aims to verify the possibility of measuring the management maturity level of an organisation that is dedicated to passenger public transportation; this organisation is used as a reference framework for the self-evaluation maturity level measurement tool provided by the ISO 9004:2009 standard. Design/methodology/approach The objective of this paper was accomplished through a case study in which the selected measurement instrument was applied to the management system of the maintenance area of one of the largest subway companies in Brazil. Findings The results of the study showed that the referential method was capable of precisely and adequately measuring the maturity level of the appraised management system. The method also enabled the researchers to identify best practices for the study organisation, which can be employed by the administration to develop action plans to improve their management system. Research limitations/implications As a limitation, the results obtained by this paper cannot be generalised, because they were based on only one company. As a result, the conclusions established cannot be extended to other types of companies since their competitive priorities and management practices may be different and generate characteristics of maturity that were not considered in this work. However, these limitations can be minimized if additional researches ponder other types of organisations. Practical implications On the practical side, this paper motivates companies to improve their operations management by using the self-evaluation tool to identify gaps in their management systems and consequently plan actions to achieve the related improvements. Originality/value The ISO 9004:2009 standard provides a self-evaluation instrument that can support companies on measuring their respective management system maturity level. However, this paper was able to demonstrate that the aforesaid tool can be used in a broader way as it allows management to define action plans to boost their management systems towards a full utilisation of best management practices.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2016-01-25T04:10:24Z
      DOI: 10.1108/JQME-04-2014-0017
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