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  Subjects -> ENGINEERING (Total: 2235 journals)
    - CHEMICAL ENGINEERING (188 journals)
    - CIVIL ENGINEERING (178 journals)
    - ELECTRICAL ENGINEERING (102 journals)
    - ENGINEERING (1194 journals)
    - ENGINEERING MECHANICS AND MATERIALS (374 journals)
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    - INDUSTRIAL ENGINEERING (60 journals)
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ENGINEERING (1194 journals)            First | 3 4 5 6 7 8 9 10 | Last

International Review of Applied Sciences and Engineering     Full-text available via subscription  
International Scholarly Research Notices     Open Access   (Followers: 197)
Inverse Problems in Science and Engineering     Hybrid Journal   (Followers: 2)
Ionics     Hybrid Journal  
IPTEK The Journal for Technology and Science     Open Access  
IRBM News     Full-text available via subscription  
Ironmaking & Steelmaking     Hybrid Journal   (Followers: 4)
Irrigation and Drainage Systems     Hybrid Journal   (Followers: 1)
ISA Transactions     Full-text available via subscription   (Followers: 1)
IT Professional     Full-text available via subscription   (Followers: 7)
Johnson Matthey Technology Review     Open Access   (Followers: 2)
Journal of Advanced Manufacturing Systems     Hybrid Journal   (Followers: 6)
Journal of Aerosol Science     Hybrid Journal   (Followers: 1)
Journal of Aerospace Engineering     Full-text available via subscription   (Followers: 45)
Journal of Alloys and Compounds     Hybrid Journal   (Followers: 10)
Journal of Analytical and Applied Pyrolysis     Hybrid Journal   (Followers: 3)
Journal of Analytical Science & Technology     Open Access   (Followers: 5)
Journal of Analytical Sciences, Methods and Instrumentation     Open Access   (Followers: 2)
Journal of Applied Analysis     Hybrid Journal  
Journal of Applied and Industrial Sciences     Open Access  
Journal of Applied Engineering Sciences     Open Access  
Journal of Applied Logic     Full-text available via subscription  
Journal of Applied Physics     Hybrid Journal   (Followers: 77)
Journal of Applied Probability     Full-text available via subscription   (Followers: 6)
Journal of Applied Research and Technology     Open Access  
Journal of Applied Science and Technology     Full-text available via subscription   (Followers: 1)
Journal of Applied Sciences     Open Access   (Followers: 5)
Journal of Architectural Engineering     Full-text available via subscription   (Followers: 5)
Journal of ASTM International     Full-text available via subscription   (Followers: 3)
Journal of Automation and Control     Open Access   (Followers: 2)
Journal of Aviation Technology and Engineering     Open Access   (Followers: 9)
Journal of Biological Dynamics     Open Access   (Followers: 1)
Journal of Biomedical Science     Open Access   (Followers: 3)
Journal of Biomolecular NMR     Hybrid Journal   (Followers: 4)
Journal of Biosciences     Open Access  
Journal of Catalysis     Hybrid Journal   (Followers: 7)
Journal of Catalyst & Catalysis     Full-text available via subscription   (Followers: 1)
Journal of Central South University     Hybrid Journal   (Followers: 1)
Journal of China Coal Society     Open Access   (Followers: 1)
Journal of China Universities of Posts and Telecommunications     Full-text available via subscription   (Followers: 2)
Journal of China University of Mining and Technology     Full-text available via subscription   (Followers: 1)
Journal of Cleaner Production     Hybrid Journal   (Followers: 15)
Journal of Coal Science and Engineering (China)     Hybrid Journal  
Journal of Cold Regions Engineering     Full-text available via subscription   (Followers: 3)
Journal of Combinatorial Designs     Hybrid Journal   (Followers: 3)
Journal of Combustion     Open Access   (Followers: 7)
Journal of Communications     Open Access   (Followers: 19)
Journal of Complex Systems     Open Access   (Followers: 1)
Journal of Computational and Nonlinear Dynamics     Full-text available via subscription   (Followers: 5)
Journal of Computational and Theoretical Nanoscience     Full-text available via subscription  
Journal of Computational Biology     Hybrid Journal   (Followers: 7)
Journal of Computational Design and Engineering     Open Access  
Journal of Computational Electronics     Hybrid Journal   (Followers: 4)
Journal of Computational Engineering     Open Access   (Followers: 1)
Journal of Computing and Information Science in Engineering     Full-text available via subscription   (Followers: 2)
Journal of Coupled Systems and Multiscale Dynamics     Full-text available via subscription  
Journal of Dairy Science     Hybrid Journal   (Followers: 16)
Journal of Display Technology     Hybrid Journal   (Followers: 1)
Journal of Dynamic Systems, Measurement, and Control     Full-text available via subscription   (Followers: 12)
Journal of Dynamical and Control Systems     Hybrid Journal   (Followers: 3)
Journal of Earthquake Engineering     Hybrid Journal   (Followers: 8)
Journal of Elasticity     Hybrid Journal   (Followers: 3)
Journal of Electroceramics     Hybrid Journal  
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 3)
Journal of Electronic Imaging     Partially Free   (Followers: 2)
Journal of Electronic Testing     Hybrid Journal   (Followers: 1)
Journal of Electronics Cooling and Thermal Control     Open Access   (Followers: 2)
Journal of Electrostatics     Hybrid Journal   (Followers: 1)
Journal of Emerging Trends in Engineering and Applied Sciences     Full-text available via subscription  
Journal of Energy Engineering     Full-text available via subscription   (Followers: 9)
Journal of Energy Resources Technology     Full-text available via subscription   (Followers: 6)
Journal of Engineering     Open Access   (Followers: 1)
Journal of Engineering and Computer Innovations     Open Access  
Journal of Engineering and Technological Sciences     Open Access  
Journal of Engineering and Technology     Open Access   (Followers: 5)
Journal of Engineering and Technology Research     Open Access  
Journal of Engineering Design     Hybrid Journal   (Followers: 15)
Journal of Engineering Education     Hybrid Journal   (Followers: 1)
Journal of Engineering Entrepreneurship, The     Full-text available via subscription   (Followers: 3)
Journal of Engineering for Gas Turbines and Power     Full-text available via subscription   (Followers: 15)
Journal of Engineering Mathematics     Hybrid Journal  
Journal of Engineering Mechanics     Full-text available via subscription   (Followers: 12)
Journal of Engineering Physics and Thermophysics     Hybrid Journal  
Journal of Engineering Research     Open Access  
Journal of Engineering Thermophysics     Hybrid Journal  
Journal of Engineering, Computers and Applied Sciences     Open Access  
Journal of Engineering, Design and Technology     Hybrid Journal   (Followers: 16)
Journal of Environmental & Engineering Geophysics     Full-text available via subscription  
Journal of Environmental Engineering     Full-text available via subscription   (Followers: 31)
Journal of Environmental Engineering and Landscape Management     Hybrid Journal   (Followers: 8)
Journal of Environmental Engineering and Science     Hybrid Journal   (Followers: 1)
Journal of Experimental Nanoscience     Hybrid Journal   (Followers: 1)
Journal of Fire Sciences     Hybrid Journal   (Followers: 3)
Journal of Flood Risk Management     Hybrid Journal   (Followers: 9)
Journal of Fluids Engineering     Full-text available via subscription   (Followers: 18)
Journal of Fourier Analysis and Applications     Hybrid Journal  
Journal of Fuel Cell Science and Technology     Full-text available via subscription   (Followers: 2)
Journal of Functional Analysis     Full-text available via subscription  
Journal of Fundamental and Applied Sciences     Open Access  
Journal of Geological Research     Open Access   (Followers: 1)

  First | 3 4 5 6 7 8 9 10 | Last

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]
  • Adapting the SHEL model in investigating industrial maintenance
    • Authors: Lasse Metso, Salla Marttonen, Nils Thenent, Linda Newnes
      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
       
  • Enhancing building maintenance cost performance with proper management of
           spare parts
    • Authors: Cheong Peng Au-Yong, Azlan Shah Ali, Faizah Ahmad
      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
       
  • The utilization of ISO 9004: case study of the maintenance area of a
           public transportation company
    • 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
       
  • Implementation of the overall equipment cost loss (OECL) methodology for
           comparison with overall equipment effectiveness (OEE)
    • Authors: Ratapol Wudhikarn
      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
       
  • Joint reliability based design and periodic preventive maintenance policy
           for systems sold with warranty
    • Authors: Mohamed Noomane Darghouth, Daoud Ait-Kadi, Anis Chelbi
      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
       
  • An optimal production/maintenance strategy under lease contract with
           warranty periods
    • Authors: zied HAJEJ, Nidhal Rezg, Gharbi ali
      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
       
  • Ranking of barriers for effective maintenance by using TOPSIS approach
    • Authors: Rajesh Kumar Singh, ayush gupta, Ashok Kumar, Tasmeem Ahmad Khan
      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
       
  • Maintenance strategy selection problem: an MCDM overview
    • Authors: Mahmood Shafiee
      First page: 378
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose Maintenance strategy selection (MSS) is considered as a complex multiple-criteria decision-making (MCDM) problem. The purpose of this paper is to present a comprehensive review on the use and application of MCDM approach and its associated case studies in the field of maintenance strategy selection. Design/methodology/approach The paper systematically classifies the published literature of both researchers and practitioners and then analyzes and reviews it methodically. Findings This paper outlines the important issues relevant to the subject, including the techniques used for data collection, the quantitative and qualitative criteria taken into account in decision-making, the maintenance strategies considered for evaluation, the methods applied to find the solution, and the type of industries being studied. In each category, the gaps are identified along with recommendations for the future research work. Practical implications Literature on classification of the MCDM models used to select the most appropriate maintenance strategy is very limited. Our proposed classification scheme not only will be useful to researchers, but also assists maintenance professionals to find the models that fit their specific needs. Originality/value The paper provides many references in the field, including the articles published in academic journals, conference papers, master and doctoral dissertations, text books and industrial reports, and suggests a classification scheme according to various attributes.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:20:34Z
      DOI: 10.1108/JQME-09-2013-0063
       
  • Availability centred maintenance for offshore wind farms
    • Authors: Lijuan Dai, Marvin Rausand, Ingrid Bouwer Utne
      First page: 403
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose Maintenance planning is a complicated decision-making process that involves the major stakeholders and the main life cycle phases of an engineering system. This article proposes an availability centred maintenance (ACM) planning approach for offshore wind farms, with special focus on the early system design phase. Design/methodology/approach The proposed approach is based on a stepwise procedure that integrates logistics consideration into reliability centred maintenance (RCM). For each step, the essential methods for systematic analysis and documentation are introduced. Findings Practical information from current offshore wind farms and lessons learned from relevant industries are included to exemplify and justify the implementation of the proposed approach. In a general way, the approach shows that valuable input can be provided to decision-making about maintainability and maintenance planning. Furthermore, the approach facilitates the initial maintenance plan to be adjusted and improved upon as additional operating experience becomes available. Research limitations/implications Offshore wind energy is still an industry in its infancy with an attendant high degree of confidentiality. There is scarcely any detailed practical information available for the production of a case study on this topic. However, the current article’s theoretical basis may be applied to identify current and future knowledge gaps, for the development of more detailed guidelines as established in the further research. Originality/value Maintenance planning of offshore wind farms is an area of current interest, although often the focus is on achieving cost reductions and not on the formal development of such a systematic approach as conceived in this article.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:19:49Z
      DOI: 10.1108/JQME-08-2013-0058
       
  • The use of 5-WHYs technique to eliminate OEE’s speed loss in a
           manufacturing firm
    • Authors: Samuel Jebaraj Benjamin, M. Srikamaladevi Marathamuthu, Uthiyakumar Murugaiah
      First page: 419
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose The paper seeks to reduce or eliminate the Overall Equipment Effectiveness (OEE’s) Speed loss in a lean manufacturing environment. Design/methodology/approach This action research study uses the lean manufacturing 5-whys analysis technique to reduce or eliminate the Speed loss. Findings The application of the 5-whys analysis technique in a manufacturing industry (XYZ Corporation) completely eliminated its top Speed loss and resulted in a valuable savings of USD 32,811.5 per annum. Practical implications The 5-whys analysis technique which has been primarily known to improve the OEE’s quality loss and changeover loss has been proven to be an effective approach to also tackle speed loss; a loss which has been regarded as the most dominating loss among all the types of OEE’s losses and a difficult one to eliminate. Originality/value Little or no attempt has been made to date to expand the use of the 5-whys analysis technique beyond its originally intended purpose. The lessons learnt in this study could be applied to other organizations. The outcome of our study has also opened the possibility of widening the horizon of the use of the 5-whys analysis technique beyond its original intended objective and could be applicable to solve other losses of OEE and non-value added activities of lean philosophy in general.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:20:46Z
      DOI: 10.1108/JQME-09-2013-0062
       
  • Development of a balanced scorecard for flight line maintenance activities
    • Authors: Heather Nachtmann, Terry Collins, Justin R. Chimka, Jingjing Tong
      First page: 436
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose The purpose of this article is to describe the development of a Balanced Scorecard (BSC) for flight line maintenance (MX) activities in the United States Air Force. Design/methodology/approach The BSC development process consists of three stages: Groundwork, design beginning with structuring of organizational strategic elements through performance measure identification and construction of the BSC framework, and finalization for continuous improvement. Findings Based on logistics expert responses we validated a case BSC for flight line MX activities within an aircraft maintenance unit. Validation was done with respect to perspective measures including mission, influencing factors, management, and information enhancement. Originality/value BSC development through identification of mission critical performance measures should improve performance of aircraft scheduling and achievement of mission objectives. Guidelines were used to develop a case validated by Air Force logistics personnel.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:19:48Z
      DOI: 10.1108/JQME-07-2012-0023
       
  • Multi-criteria classification of spare parts inventories - a web based
           approach
    • Authors: S. P. Sarmah, U. C. Moharana
      First page: 456
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose The purpose of the paper is to present a fuzzy rule based model to classify spare parts inventories considering multiple criteria for better management of maintenance activities to overcome production down situation. Design/methodology/approach Fuzzy rule based approach for multi-criteria decision-making is used to classify the spare parts inventories. Total cost is computed for each group considering suitable inventory policies and compared with other existing models. Findings Fuzzy rule based multi-criteria classification model provides better results as compared to aggregate scoring and traditional ABC classification. This model offers the flexibility for inventory management experts to provide their subjective inputs. Practical implications The web based model developed in this paper can be implemented in various industries such as manufacturing, chemical plants, and mining etc., which deal with large number of spares. This method classifies the spares into three categories A, B and C considering multiple criteria and relationships among those criteria. The framework is flexible enough to add additional criteria and to modify fuzzy rule base at any point of time by the decision makers. This model can be easily integrated to any customized Enterprise Resource Planning (ERP) applications. Originality/value The value of this paper is in applying fuzzy rule based approach for multi-criteria inventory classification of spare parts. This rule based approach considering multiple criteria is not very common in classification of spare parts inventories. Total cost comparison is made to compare the performance of proposed model with the traditional classifications and the result shows that proposed fuzzy rule based classification approach performs better than the traditional ABC and gives almost the same cost as aggregate scoring model. Hence, this method is valid and adds a new value to spare parts classification for better management decisions.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:19:51Z
      DOI: 10.1108/JQME-04-2012-0017
       
  • Human factors engineering in aircraft maintenance: a review
    • Authors: A. Shanmugam, T. Paul Robert
      First page: 478
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose To present a literature review on Human Factors in aircraft maintenance and to analyse and synthesize the findings in the literature on Human Factors Engineering in aircraft maintenance. Design/methodology/approach The review adopts a three-fold approach: Searching and collecting the scientific literature; sorting them on the basis of relevance and applications; and review of the scientific evidences. Broad areas of aircraft maintenance regulations are identified and each area was explored to study the level of scientific growth and publications. Notable theories, models and concepts are being summarized. Findings Application of human factor principles in aviation spread beyond the technical arena of man-machine interface. The discipline has created a great impact on aircraft design, operations and maintenance. Its applications have percolated into design of aircraft maintenance facilities, task-cards and equipment. Human factor concepts are being used for maintenance resource management. The principles are applied to shape the safety behaviour and culture in aviation maintenance workplace. Nevertheless, the review unfolds immense potential for future research. Research limitations/implications Research outcomes of non-aviation studies are also reviewed and consolidated to extend the applications to the aviation industry. Practical implications This review would be a consolidated source of information confining to the physical aspect of human factors engineering in aircraft maintenance. It is intended to serve as a quick reference guide to the researchers and maintenance practitioners. Originality/value This is a unique review based on aircraft maintenance regulations that are baseline performance standards made mandatory by regulatory authorities. Therefore, the review has been considered to be made on aircraft maintenance regulatory requirements that surpass corporate or competitive strategies in aviation maintenance organisation.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:19:55Z
      DOI: 10.1108/JQME-05-2013-0030
       
  • From measuring overall equipment effectiveness (OEE) to overall resource
           effectiveness (ORE)
    • Authors: Jose Arturo Garza-Reyes
      First page: 506
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 4, October 2015.
      Purpose Overall Equipment Effectiveness (OEE) provides a quantitative metric based on the elements availability, performance and quality for measuring the performance effectiveness of individual equipment or entire processes. Although these elements are important, other performance factors such as the efficient use of raw materials and the production environment (e.g. production system, logistics, labour, etc.) in which the equipment or process operates may also have a significant contribution to process performance. This paper presents an alternative measure derived from OEE, Overall Resource Effectiveness (ORE), which considers these factors. Design/methodology/approach The paper reviews the OEE’s background and explores its limitations. Then, it shows the conceptual and mathematical development of the ORE measure and the formulas used for its calculation. Empirical and simulation-based investigations and applications of ORE are carried out through two cases study for its validation. Findings The results derived from both the empirical and simulation-based investigations demonstrate that OEE may not be an appropriate measure for some specific processes and that ORE may offer a more complete perspective on and information of key performance indicators. Practical implications ORE can provide production managers with more complete information concerning the performance of their processes. This will allow them to take better decisions regarding the management and actions needed to improve their processes. Originality/value This paper presents a novel and alterative approach to measure the performance of manufacturing equipment and processes.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-09-03T12:20:04Z
      DOI: 10.1108/JQME-03-2014-0014
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
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