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ENGINEERING (1171 journals)            First | 3 4 5 6 7 8 9 10 | Last

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: 3)
Johnson Matthey Technology Review     Open Access   (Followers: 2)
Journal of Advanced Manufacturing Systems     Hybrid Journal   (Followers: 5)
Journal of Aerosol Science     Hybrid Journal   (Followers: 1)
Journal of Aerospace Engineering     Full-text available via subscription   (Followers: 57)
Journal of Alloys and Compounds     Hybrid Journal   (Followers: 7)
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: 1)
Journal of Applied Analysis     Hybrid Journal  
Journal of Applied and Industrial Sciences     Open Access  
Journal of Applied Logic     Full-text available via subscription  
Journal of Applied Physics     Hybrid Journal   (Followers: 81)
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  
Journal of Applied Sciences     Open Access   (Followers: 5)
Journal of Architectural Engineering     Full-text available via subscription   (Followers: 6)
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: 8)
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: 6)
Journal of Catalyst & Catalysis     Full-text available via subscription  
Journal of Central South University     Hybrid Journal   (Followers: 1)
Journal of China Coal Society     Open Access  
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: 16)
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: 6)
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: 6)
Journal of Computational Design and Engineering     Open Access  
Journal of Computational Electronics     Hybrid Journal   (Followers: 4)
Journal of Computational Engineering     Open Access  
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: 15)
Journal of Display Technology     Hybrid Journal   (Followers: 2)
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: 2)
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 Energy Engineering     Full-text available via subscription   (Followers: 8)
Journal of Energy Resources Technology     Full-text available via subscription   (Followers: 6)
Journal of Engineering     Open Access  
Journal of Engineering and Computer Innovations     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: 13)
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 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: 29)
Journal of Environmental Engineering and Landscape Management     Hybrid Journal   (Followers: 8)
Journal of Experimental Nanoscience     Hybrid Journal   (Followers: 2)
Journal of Fire Sciences     Hybrid Journal   (Followers: 3)
Journal of Flood Risk Management     Hybrid Journal   (Followers: 7)
Journal of Fluids Engineering     Full-text available via subscription   (Followers: 17)
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   (Followers: 1)
Journal of Fundamental and Applied Sciences     Open Access  
Journal of Geological Research     Open Access   (Followers: 1)
Journal of Geotechnical and Geoenvironmental Engineering     Full-text available via subscription   (Followers: 18)
Journal of Global Optimization     Hybrid Journal   (Followers: 4)
Journal of Green Science and Technology     Full-text available via subscription  
Journal of Guidance, Control, and Dynamics     Full-text available via subscription   (Followers: 90)
Journal of Healthcare Engineering     Full-text available via subscription   (Followers: 2)
Journal of Heat Transfer     Full-text available via subscription   (Followers: 31)
Journal of Humanitarian Engineering     Open Access   (Followers: 1)
Journal of Hydraulic Engineering     Full-text available via subscription   (Followers: 15)
Journal of Hyperspectral Remote Sensing     Open Access   (Followers: 1)
Journal of Imaging     Open Access  
Journal of Imaging Science and Technology     Full-text available via subscription  
Journal of Industrial and Production Engineering     Hybrid Journal   (Followers: 3)

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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  [311 journals]
  • Maintenance cost estimation: application of activity-based costing as a
           fair estimate method
    • Authors: Ahmed Haroun
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose Is to present the use of Activity-Based Costing (ABC) approach as an alternative option to the Traditional Cost Accounting System. The contribution of this study is to demonstrate, through a simple example, the application of that costing system in a service (maintenance) industry, i.e., the paper intended to develop a procedure for a cost model that help in calculating any maintenance job cost, to a reasonable degree of accuracy, based on the actual activities performed. Design/methodology/approach This research uses a simple example whereby hypothetical activities and cost data of maintaining an injector and a pump, of an internal combustion engine, are used, presented and analyzed based on the use of the developed procedure. Findings ABC system provides more accurate cost estimates rather than the traditional “order costing” methods that uses unit-level costs which are variable in relation to change in service volume. Traditional cost methods distort the costs by applying overhead uniformly over different jobs of varied complexities and activities scope. On the other hand, ABC is a useful means to distribute the overhead costs in proportion (fairly) to the actual activities performed in a specific job and, hence, enhance the rationality of decision-making, i.e., will not distort the accounting information used for cost reduction, pricing and evaluation matters. The results obtained from the analysis showed that allocating costs to the maintained injector decreased from $83.55 to $71.95 and, finally, to $67.57 when using the workshop-wide, two-stage and ABC overhead allocation methods, respectively; while that of the pump increased from $298.90 to $340.34 and, finally, to $359.48 when using the same three methods, in the same order, respectively. The result is quite fair when considering the complexity of the fuel pump, in terms of design and maintenance, when compared with the injector. Notice that using volume to allocate overhead costs results in over costing high-volume products, e.g., injectors (simple in terms of design and operation) and under costing low-volume products, e.g., pumps (more complex in terms of design and operation). The paper recommends to use ABC as a more accurate and fair method when charging maintenance job orders based on the analysis of costing two maintained items in the same premise while consuming different overhead resources. Practical implications This study attempts to analyze different methods to calculate a specific corrective maintenance job order. It strives to remedy the drawbacks of the traditional overhead costing of a job order when using principles related to the size of service, such as the direct labor cost/hours, as an allocation base. Consequently, the study proposed a new costing method, i.e., application of ABC. The traditional costing approach is considered by many firms as the best costing method. Nevertheless, it allocates overhead cost over job performed uniformly (equally) not differentiating between the complexity of the job and variety of the activities performed, e.g., using the same allocation base for “oil change” and “fuel pump adjustment” activities. So, ABC prevents cost distortions (unfairness) that could not be prevented by traditional cost accounting system. The author believes that the method presented in this paper will provide a useful management tool for costing maintenance jobs based on the appropriate selected activity drivers in maintenance workshops. The method could be applied for costing maintenance activities in maintenance of all industrial sectors. Originality/value The use of traditional costing method has proven to be distorted by applying overhead uniformly over different jobs of varied complexities and activities scope. In this paper we strive to present an effective costing alternative that outperforms the traditional ones with regard to overhead allocation. The paper aims to find reliable and fair maintenance costing method, i.e., to find out the relationships between maintenance activities and cost drivers. Although, ABC is widely used in manufacturing industry, no application or current research has presented an applicable thorough worked-out example, with the exception, to my knowledge, of one in the aeronautical industry , to implement ABC method in maintenance industry. The importance of using this method comes from the fact that it provides, relatively, accurate and fair maintenance bills that provide customer satisfaction and firm good image. Hence, the paper is relevant in this respect and intended to contribute to the practice of maintenance management.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:32Z
      DOI: 10.1108/JQME-04-2015-0015
       
  • A Markov decision process model case for optimal maintenance of serially
           dependent power system components
    • Authors: Daniel Bumblauskas
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose This paper is a case study for electrical power equipment to investigate the importance of dependence between series-connected system components in maintenance decisions. Design/methodology/approach A continuous-time Markov decision model is formulated to find a minimum cost maintenance policy for a circuit breaker as an independent component while considering a downstream transformer as a dependent component. Maintenance of the dependent component is included implicitly in terms of the costs associated with certain state-action pairs. For policy and cost comparisons, a separate model is also formulated that considers only the circuit breaker as the independent component. After uniformizing the continuous-time models to discrete time, standard methods are used to solve for the average-cost-optimal policies of each model. Findings The optimal maintenance policy and its cost differ significantly depending on whether or not the dependent component is considered. Research limitations/implications Data used are from manufacturer databases; additional model validation could be conducted if applied to an electric utility asset fleet within their generation, transmission and/or distribution system. This model and methodology are already being applied in other contexts such as industrial machinery and equipment, jet engines, amusement park rides, etc. Practical implications The outcome of this model can be utilized by asset and operations managers to make maintenance decisions based on prediction rather than more traditional time or condition based maintenance methodologies. This model is being developed for use as a module in a larger maintenance information system, specifically linking condition monitor data from the field to a predictive maintenance model. Similar methods are being applied to other applications outside the electrical equipment case detailed herein. Originality/value This model provides a structured approach for managers to decide how to best allocate their resources across a network of inter-connected equipment. Work in this area has not fully considered the importance of dependency on systems maintenance, particularly in applications with highly variable repair and replacement costs.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:30Z
      DOI: 10.1108/JQME-09-2014-0050
       
  • Investigating the impact of social sustainability within maintenance
           operations: an action research in heavy industry
    • Authors: Matteo Mario Savino, Marco Macchi, Antonio Mazza
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose The present work is primarily focused on labor in maintenance areas, addressing i) human rights issues, ii) labor standards, and iii) 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 towards a more social perspective. Design/methodology/approach We 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 Analytical Hierarchy Process (AHP) implemented within a Failure Mode Effects Analysis (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 i) workers’ health and safety, ii) the environment, iii) social issues like gender and age. Research limitations/implications One of the main limitation of this is that it should also encopass 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, we observed and increase of equipment 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. Originality/value The present work focused on a new definition of a criticality ranking model to assign a maintenance policy to each component based of workers' know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and Analytic Hierarchy Process 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.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:29Z
      DOI: 10.1108/JQME-06-2014-0038
       
  • Diagnosis and economic impact of operational variability – a case
           from the chemical forest industry
    • Authors: Jukka Mikael Rantamäki, Olli Saarela
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose This paper deals with the identification and diagnosis of operational variability in chemical processes, which is a common problem in mills but little explored in literature. The CRoss-Industry Standard Process for Data Mining (CRISP-DM) is a widely used approach in problem solving. The first purpose of this paper is to contribute to the body of knowledge on applying CRISP-DM in a pulp mill production process and the special issues that need to be considered in this context. Exact amounts of a cost increase due to variation in pulp production have not been reported previously. The second purpose of this paper is to quantify the cost of variation. Design/methodology/approach In the case studied, the variation in a pulp mill batch cooking process had increased. In order to identify the causes of variation, CRISP-DM was applied. Findings The cycle of variation was identified and found to be related to the batch cooking process cycle time. By using information from this analysis it was possible to detect otherwise unobserved defective steam nozzles. The defective equipment was repaired and improved. Further improvement was achieved when the fouling of a heat exchanger was found by analysis to be the root cause of long-term variability parameters. By applying CRISP-DM, equipment defects and fouling were identified as the root causes of the higher manufacturing costs due to increased variation were detected and estimated. The Taguchi loss function is a possible tool for estimating the cost of variation in pulp manufacturing. Originality/value This article provides new knowledge in the context of implementing CRISP-DM and the Taguchi loss function in the pulp and paper manufacturing process.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:27Z
      DOI: 10.1108/JQME-03-2014-0011
       
  • Age replacement policies for two-component systems with stochastic
           dependence
    • Authors: Zouheir Malki, Daoud Ait-Kadi, Mohamed Salah Ouali
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose In this paper, age replacement policies for two-component parallel system with stochastic dependence are investigated. The stochastic dependence considered, is modeled by a one-sided domino effect. The failure of component 1 at instant t may induce the failure of component 2 at instant t+ζ with probability p(1→2). The time delay ζ is a random variable with known probability density function h(p(1→2) ) (.). The system is considered in a failed state when both components are failed. The proposed replacement policies suggest to replace the system upon failure or at age T whichever occurs first. Design/methodology/approach In the first policy, costs and durations associated with maintenance activities are supposed to be constant. In the second replacement policy, the preventive replacement cost depends on the system’s state and age. The expected cost per unit of time over an infinite span is derived and numerical examples are presented. Findings In this paper and especially in the second policy, we find that we can get a more economical policy if we consider that the preventive replacement cost is not constant but depends on T. Originality/value In this paper, we take into account of the stochastic dependence between system components. This dependence affects the global reliability of the system and replacement's periodicity. It can be used to measure the performance of the system et introduced into design phase of the system.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:25Z
      DOI: 10.1108/JQME-03-2014-0013
       
  • eMaintenance ontologies for data quality support
    • Authors: Mustafa Ibrahim Aljumaili, Karina Wandt, Ramin Karim, Phillip Tretten
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose The purpose of this paper is to explore the main ontologies related to eMaintenance solutions and to study their application area. The advantages of using these ontologies to improve and control data quality will be investigated. Design/methodology/approach A literature study has been done to explore the eMaintenance ontologies in the different areas. These ontologies are mainly related to content structure and communication interface. Then, ontologies will be linked to each step of the data production process in maintenance. Findings The findings suggest that eMaintenance ontologies can help to produce a high quality data in maintenance. The suggested maintenance data production process may help to control data quality. Using these ontologies in every step of the process may help to provide management tools to provide high quality data. Research limitations/implications Based on this study, it can be concluded that further research could broaden the investigation to identify more eMaintenance ontologies. Moreover, studying these ontologies in more technical details may help to increase the understandability and the use of these standards. Practical implications It has been concluded in this study that applying eMaintenance ontologies by companies needs additional cost and time. Also the lack or the ineffective use of eMaintenance tools in many enterprises is one of the limitations for using these ontologies. Originality/value Investigating eMaintenance ontologies and connecting them to maintenance data production is important to control and manage the data quality in maintenance.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:23Z
      DOI: 10.1108/JQME-09-2014-0048
       
  • Improving quality of maintenance through Simplified Technical English
    • Authors: Jezdimir Knezevic
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose The purpose of a paper is to address the maintenance errors caused by the lack of understanding of maintenance manuals. English is the official language of civil aviation and all relevant maintenance manuals are written in it, but - for 80% of the global maintenance personnel who are using such manuals - English is not their native language. The majority of these users have knowledge of English that is rather limited and they are easily confused by complex sentences and by the number of meanings and synonyms that English words may have Design/methodology/approach Scientific analysis of the faulty maintenance tasks to determine the impact of the inability to maintenance personnel to correctly understand maintenance manual written in English. Findings Analysis of the maintenance processes clearly shows that ineffective communication between system designers and maintenance personnel, through maintenance documentation, is a well-recognised contributor to the occurrence of a faulty maintenance task Practical implications Significant improvements in the direction of effective communication and improvement in a quality of maintenance could be achieved by applying Simplified Technical English (ASD-STE100), the benefit of which on the quality of maintenance is presented in this paper. Originality/value Unique consideration of the Quality of Maintenance, which is to see it as a function of the comprehension of Maintenance Manuals written in English.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:21Z
      DOI: 10.1108/JQME-06-2015-0024
       
  • Diagnosing urban rail transit vehicles with FMEA and fuzzy set
    • Authors: Wei Zhu, Chen-yu Li, Xiao-yan Xiao, Wen-bin Xu
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 3, August 2015.
      Purpose The purpose of this paper is to develop an effective treatment to analyze and diagnose URT vehicle maintenance strategy. Design/methodology/approach In this paper, the technique of Failure Mode and Effects Analysis (FMEA) is introduced into the examination of urban rail transit (URT) trains firstly. Then the method of fuzzy set based assessment for FMEA is presented, which is the quantitative tool of Fuzzy-Set based treatment for FMEA in analysis and diagnoses to URT maintenance strategy. Moreover, recommendations for further improvement of the proposed approach are also provided. Initial application into the vehicle maintenance of Shanghai URT System shows, that the proposed approach has a good performance and consequently is worth further development. Findings The paper presents a FMEA and fuzzy set based theoretical approach for analyzing and diagnosing current methods in URT vehicle maintenance strategy. Practical implications With rapid development of URT systems in the world especially in those highly populated areas, much more attentions are turning to researches on URT maintenance, nevertheless, few quantitative research achievement are mentioned or applied. This paper is a tentative attempt at introducing fuzzy set theory into quantitative analysis and diagnoses of URT maintenance strategy. Originality/value The study in this paper is helpful in theory and practice of URT maintenance and its methodology could be further applied into a broad family of facility group or system in other engineering fields.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2015-07-22T12:27:19Z
      DOI: 10.1108/JQME-08-2012-0026
       
  • An evaluation of transfusion of TQM-TPM implementation initiative in an
           Indian manufacturing industry
    • Authors: Kanwarpreet Singh, Inderpreet Singh Ahuja
      First page: 134
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose The objectives of the study includes investigations of current status of TQM and TPM implementation initiatives as well as benefits attained through synergetic TQM-TPM implementation in the manufacturing organization to assess roadmap followed by Indian manufacturing entrepreneur towards affecting manufacturing performance enhancements. Design/methodology/approach The study has been carried out in the large scale manufacturing organization in the country that have implemented or are in the process of implementing TPM alone and TQM-TPM both. The study emphasizes upon comparing of business performance enhancements accrued through these quality improvement approaches. Findings The study revealed that Transfusion of TQM-TPM initiatives can significantly contribute towards the better improvement of manufacturing performance in the organisation, rather than TPM alone initiatives, also leading towards realization of core competencies for meeting global challenges. Research limitations/implications The study is conducted to develop an understanding of contributions of TQM and TPM initiatives in Indian manufacturing industry. The present study endeavors to investigate the effect of an aggressive TQM-TPM implementation plan for strategically meeting global challenges and competition. Originality/value The study highlights the contributions made by holistic TQM-TPM implementation in an Indian manufacturing enterprise.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:44:03 GMT
      DOI: 10.1108/JQME-04-2013-0017
       
  • Managing storeroom operations using cluster-based preventative maintenance
    • Authors: Abdelhakim Abdelhadi, Layth Alwan, Xiaohang Yue
      First page: 154
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose The impact on the cost of materials used to conduct preventive maintenance is investigated. The main motivation for this work is to demonstrate how the group technology concept can be used to improve preventive maintenance operations. In assessing improvement, the impact on the cost of materials used to conduct preventive maintenance is investigated. Design/methodology/approach Based on the similarities between machines required maintenance and failure types, machines are grouped together into virtual cells using similarity coefficients. These cells, then, are used to come up with more efficient planning and scheduling procedures to conduct preventive maintenance operations including inventory of parts and the execution of maintenance operations. Findings The results demonstrated that the proposed preventive maintenance approach could provide a significant cost savings over a traditional PM program, especially in industries for which there is considerable material cost for the performance of PM. Originality/value The results presented in this paper are reliable, objective, and may be expanded by using the same concept of developing virtual cells to group other types manufacturing operations.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:43:53 GMT
      DOI: 10.1108/JQME-10-2013-0066
       
  • A nearly optimal inspection policy for a two-component series system
    • Authors: Ghofrane Maaroufi, Anis Chelbi, Nidhal Rezg, Ait-Kadi Daoud
      First page: 171
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose The purpose of this paper is to determine a nearly optimal inspection sequence for a series system consisting of two components subject to gradual deterioration and whose failures are not self-announcing and can be detected only through inspection. Design/methodology/approach The problem is tackled in the context of condition based maintenance with a maintenance model in the class of the control-limit policies for which the maintenance decision is made following inspection by comparison of the deterioration level to critical thresholds. A mathematical model is developed to express the total expected cost per time unit as a function of the inspection instants. Findings For any given series system composed of two components with known critical deterioration threshold levels, and for any given set of costs related to inspection, inactivity due to failure, and preventive and corrective replacements of each component, a nearly optimal inspection sequence of the system is derived such as the total expected cost is reduced. Research limitations/implications Due to the complexity of the cost model with the inspection instants (x1, x2, x3, ….) being the decision variables, it has not been possible to derive the optimal solution. A quasi-optimal sequence of inspection times is derived along with the corresponding total average cost per time unit. Practical implications In many practical situations in which condition based maintenance is implemented, a tradeoff between inspection costs and inactivity and replacement costs has to be balanced when determining the intervals between successive inspections at which the degradation level of the components should be assessed and compared to predetermined critical threshold levels. Inspecting too often would increase inspection costs but in the same time it would also increase the probability to avoid a failure and end up with a preventive replacement, whereas not inspecting often enough would increase the probability to end up with a failure increasing replacement and inactivity costs. Originality/value While the inspection problem has been largely treated for single component systems, inspection policies become much more complex when considering multi-component systems. A two component series system is considered in this paper.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:44:05 GMT
      DOI: 10.1108/JQME-11-2013-0074
       
  • Research study from industry-university collaboration on ‘no fault
           found’ events
    • Authors: Samir Khan
      First page: 186
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose The purpose of this article is to present the successes and barriers from an industry-university partnership on studying the impact of No Fault Found (NFF) events. As a consequence, various opportunities are explored to engage with industry to investigate the problem. A comprehensive training is also outlined to ensure that experience and troubleshooting techniques can be disseminated as guidelines across businesses. Design/methodology/approach The study was performed by Cranfield University in collaboration with industrial partners on identifying the impact of the No Fault Found (NFF) problem within engineering services. This includes discussions with maintenance engineers, outcomes from a symposium organized specifically on NFF and the authors' own experiences with the issue. Findings The paper discusses the continuing serious problem with NFF events found at various maintenance echelons, and suggests a need for formal postgraduate training to be taught within the field of maintenance management. This includes not just technical issues, but also encompassing organizational structures, cultures and behaviours. Since focusing only on one issue at a time does not suffice in dealing with the NFF problem, an integrated approach is required for modern maintenance services and operations. Research limitations/implications Higher education learning outcomes have been outlined for competent engineering personnel, to broaden their understanding on the subject area. This is based on discussions with industrial collaborators and recently published material. Practical implications This paper emphasizes the importance of the breath of interaction channels and demonstrates the opportunities for effective knowledge exchange by using the activities at Cranfield University to demonstrate their usefulness. The arguments clearly lead to the necessity of academia in this type of industrial problem. However, the presence of a university in this case is not as the sole problem solver, but the rather to act as a collaborative medium between various other outlets. Further ideas proposed, such as constructing guidelines for industries in handling NFF problems and benchmarking tools, can serve as real products that can be benefit industries. The study also aims to promote best practice in the field of maintenance management and outlines the foundations for NFF training material. Originality/value The originality of the paper is that it presents a structured methodology for engaging with industry. It also outlines a curriculum for NFF training. It essentially serves as a road-map for research and offers a detailed account of areas that need to be taken into account in order to reduce the likely event of NFF.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:44:00 GMT
      DOI: 10.1108/JQME-01-2014-0004
       
  • Model for economic replacement time of mining production rigs including
           redundant rig costs
    • Authors: Hussan Saed Al-Chalabi, Jan Lundberg, Majid Al-Gburi, Alireza Ahmadi, Behzad Ghodrati
      First page: 207
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose This paper presents a practical model to determine the economic replacement time (ERT) of production machines. The objective is to minimise the total cost of capital equipment, where total cost includes acquisition, operating, maintenance costs and costs related to the machine’s downtime. The costs related to the machine’s downtime are represented by the costs of using a redundant machine. Design/methodology/approach Four years of cost data are collected. Data is analysed, practical optimisation model is developed and regression analysis is done to estimate the drilling rigs ERT. The artificial neural network (ANN) technique is used to identify the effect of factors influencing the ERT of the drilling rigs. Findings The results show that the redundant rig cost has the largest impact on ERT, followed by acquisition, maintenance and operating costs. The study also finds that increasing redundant costs per hour have a negative effect on ERT, while decreases in other costs have a positive effect. Regression analysis shows a linear relationship between the cost factors and ERT. Practical implications The proposed approach can be used by the decision maker in determining the economic replacement time of production machines which used in mining industry. Originality/value The research proposed in this paper provides and develops an optimisation model for economic replacement time of mining machines. This research also identifies and explains the factors that have the largest impact on the production machine’s ERT. This model for estimating the ERT has never been studied on mining drilling rigs.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:44:02 GMT
      DOI: 10.1108/JQME-07-2014-0041
       
  • Mechanization of static mechanical systems inspection planning process:
           the state of the art
    • Authors: R.M. Chandima Ratnayake
      First page: 227
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 2, May 2015.
      Purpose The purpose of this paper is to review the evolution of inspection and maintenance (I&M) practices used for aging and newly built oil and gas (O&G) facilities. It also proposes a framework and an approach for mechanizing inspection planning to perform preventive maintenance (PM) activities, taking technical condition (TC) and relative degradation (RD) into consideration. Design/methodology/approach The paper systematically collects, categorizes, and analyzes the published literature of both researchers and practitioners. It also utilizes industrial experience that has been accrued and utilized from inspection planning practices for static mechanical equipment on aging O&G production plants. Findings The paper defines significant issues in I&M of O&G assets related to: different philosophies; stakeholders’ requirements trade-off; dependability and asset deterioration challenges; items interacting with inspection planning mechanization processes and I&M optimization approaches. A framework is identified to mechanize the inspection planning process in order to reduce the effect arising from human involvement, whilst improving the effective utilization of data from different sources. The suggested approach improves the quality of an inspection program, whilst minimizing the variability and cost to the engineering contractors as well as to the owners of O&G facilities. Practical implications The mechanization of inspection planning (MIP) is vital to have inspection programs with uniform quality. The currently employed inspection practices face challenges in maintaining uniform quality from one inspection program to another due to the variability present in the planning process, especially among the different inspection planning engineers. The suggested fuzzy logic based MIP supports the minimization of the variability and increases the quality of inspection programs. Originality/value The paper provides a comprehensive review of research contributions and industrial development efforts. These will be useful to the life cycle stakeholders in both academia and industry in understanding the inspection planning problem and solution space within the O&G asset inspection and maintenance context.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: Tue, 24 Mar 2015 00:44:04 GMT
      DOI: 10.1108/JQME-09-2012-0033
       
 
 
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