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  Subjects -> ENGINEERING (Total: 2070 journals)
    - CHEMICAL ENGINEERING (171 journals)
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    - ELECTRICAL ENGINEERING (88 journals)
    - ENGINEERING (1148 journals)
    - ENGINEERING MECHANICS AND MATERIALS (320 journals)
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ENGINEERING (1148 journals)            First | 3 4 5 6 7 8 9 10 | Last

Journal of Alloys and Compounds     Hybrid Journal   (Followers: 8)
Journal of Analytical and Applied Pyrolysis     Hybrid Journal   (Followers: 3)
Journal of Analytical Science & Technology     Open Access   (Followers: 4)
Journal of Analytical Sciences, Methods and Instrumentation     Open Access   (Followers: 1)
Journal of Applied Analysis     Full-text available via subscription  
Journal of Applied and Industrial Sciences     Open Access  
Journal of Applied Logic     Full-text available via subscription  
Journal of Applied Physics     Hybrid Journal   (Followers: 212)
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  
Journal of Aviation Technology and Engineering     Open Access   (Followers: 6)
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  
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  
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: 6)
Journal of Communications     Open Access   (Followers: 17)
Journal of Complex Systems     Open Access  
Journal of Computational and Nonlinear Dynamics     Full-text available via subscription   (Followers: 5)
Journal of Computational and Theoretical Nanoscience     Full-text available via subscription   (Followers: 1)
Journal of Computational Biology     Hybrid Journal   (Followers: 6)
Journal of Computational Electronics     Hybrid Journal   (Followers: 1)
Journal of Computational Engineering     Open Access  
Journal of Computing and Information Science in Engineering     Full-text available via subscription   (Followers: 2)
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: 9)
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: 1)
Journal of Electrostatics     Hybrid Journal  
Journal of Energy Engineering     Full-text available via subscription   (Followers: 7)
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  
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: 11)
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: 15)
Journal of Environmental & Engineering Geophysics     Full-text available via subscription  
Journal of Environmental Engineering     Full-text available via subscription   (Followers: 28)
Journal of Environmental Engineering and Landscape Management     Hybrid Journal   (Followers: 7)
Journal of Experimental Nanoscience     Hybrid Journal   (Followers: 3)
Journal of Fire Sciences     Hybrid Journal   (Followers: 2)
Journal of Flood Risk Management     Hybrid Journal   (Followers: 7)
Journal of Fluids Engineering     Full-text available via subscription   (Followers: 15)
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 Guidance, Control, and Dynamics     Full-text available via subscription   (Followers: 67)
Journal of Healthcare Engineering     Full-text available via subscription   (Followers: 2)
Journal of Heat Transfer     Full-text available via subscription   (Followers: 26)
Journal of Humanitarian Engineering     Open Access   (Followers: 1)
Journal of Hydraulic Engineering     Full-text available via subscription   (Followers: 14)
Journal of Hyperspectral Remote Sensing     Open Access   (Followers: 1)
Journal of Imaging Science and Technology     Full-text available via subscription  
Journal of Industrial and Production Engineering     Hybrid Journal   (Followers: 3)
Journal of Industrial Engineering and Management     Open Access   (Followers: 4)
Journal of Inequalities and Applications     Open Access  
Journal of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 1)
Journal of Integrated Design and Process Science     Hybrid Journal   (Followers: 1)
Journal of Intelligent and Fuzzy Systems     Hybrid Journal   (Followers: 9)
Journal of Inverse and Ill-posed Problems     Full-text available via subscription   (Followers: 1)
Journal of Irrigation and Drainage Engineering     Full-text available via subscription   (Followers: 12)
Journal of K-Theory     Full-text available via subscription   (Followers: 1)
Journal of King Saud University - Engineering Sciences     Open Access  
Journal of Konbin     Open Access  
Journal of Liquid Chromatography & Related Technologies     Hybrid Journal   (Followers: 9)
Journal of Management in Engineering     Full-text available via subscription   (Followers: 10)

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Journal Cover   Journal of Quality in Maintenance Engineering
  [SJR: 0.443]   [H-I: 27]   [6 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1355-2511
   Published by Emerald Homepage  [309 journals]
  • Applying human factor analysis tools to a railway brake and wheel
           maintenance facility
    • Authors: Sarbjeet Singh et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose This paper demonstrates three techniques to extract human factor information from specific railway maintenance tasks. It describes the techniques and shows how these tools can be applied to identify improvements in maintenance practices and workflow. Design/methodology/approach Three case studies were conducted on single group of technicians (N=19) at a railway maintenance workshop in Luleå, Sweden. Case study I examined the posture of the technicians while they were changing the brake shoes of freight wagons; the study employed the Standard Nordic Questionnaire and a videotape using the Ovako Working Posture Analysis System (OWAS). Case study II looked at maintenance repair times required to change the wheel axle on freight wagons at the workshop. A video filming method suggested by the European Agency for Safety and Health at Work was used to measure actual maintenance time. Finally, case study III considered the technicians’ (N=19) perception of work demands, their control over the work and their social support while performing maintenance tasks (brake shoe and wheel axle maintenance); to this end, the case study used a demand control support questionnaire. Findings In the first case study, the Standard Nordic Questionnaire confirmed that technicians at this particular railway vehicle maintenance workshop suffer from back and shoulder pain. The Ovako Working Posture Analysis showed that 21% of the working time required to fit the brake wedge and cotter pin fits into two OWAS categories: category 3, where “change is required as soon as possible,” and category 4, where “change is required immediately”. Problems stem from poor workplace layout, incorrect posture and inaccessibility of tools and components. In the second study, the video analysis indicated that the working time to change the wheel axle of a freight wagon is greatly affected by poor workplace layout. The third case study showed that the technicians have lower “psychological demands” (mean=13), “higher control over work” (mean= 16) and “high social support” (mean= 22). Practical implications The objective of this study was to apply knowledge about human factors to the functional relationships between maintenance personnel, tasks and the working environment to improve safety. If the workplace layout, working posture, maintenance manuals and accessibility of tools are poorly planned, maintenance performance can be adversely affected. The results of this study should assist maintenance management to design new policies and guidelines for improving the work environment. Originality/value Three case studies were conducted at a railway maintenance workshop in Luleå, Sweden, to collect data on how human factors affect various railway maintenance tasks.
      PubDate: Thu, 29 Jan 2015 14:35:02 GMT
       
  • Optimum time-censored simple ramp-stress accelerated life test sampling
           plan for the log-logistic distribution
    • Authors: Preeti Wanti Srivastava et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose Acceptance sampling plans are designed to decide about acceptance or rejection of a lot of products on the basis of sample drawn from it. Accelerating the life test helps in obtaining information about the lifetimes of high reliability products quickly. The objective here is to formulate an optimum time censored acceptance sampling plan based on ramp-stress accelerated life test for items having log-logistic life distribution. The log-logistic life distribution has been found appropriate for highly reliable components such as power system components and insulating materials. Design/methodology/approach The inverse power relationship has been used to model stress-life relationship. It is meant for analyzing data for which the accelerated stress is non-thermal in nature, and frequently used as an accelerating stress for products such as capacitors, transformers, and insulators. The method of maximum likelihood is used for estimating design parameters. The optimal test plan is obtained by minimizing variance of test-statistic that decides on acceptability or rejectibility of lot. The optimal test plan finds optimal sample size, stress rates, sample proportion allocated to each stress and lot acceptability constant such that producer’s risk and consumer’s risk is satisfied. Findings Asymptotic variance plays a pivotal role in determining the sample size required for a sampling plan for deciding the acceptance/rejection of a lot. The sample size is minimized by optimally designing a ramp-stress accelerated life test so that the asymptotic variance is minimized. Originality/value The model suggested is of use to quality control and reliability engineers dealing with highly reliable items.
      PubDate: Thu, 29 Jan 2015 14:35:01 GMT
       
  • Subsea maintenance service delivery: a multi-variable analysis model for
           predicting potential delays in scheduled services
    • Authors: Efosa E. Uyiomendo et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose To propose a multi-variable analysis (MVA) model for predicting potential delays in the delivery of subsea inspection, maintenance and repair (IMR) services. Design/methodology/approach Based on data from 351 subsea IMR service jobs executed between 2006 and 2008, a multi-variable analysis (MVA) model is proposed for predicting the potential delays in the delivery of IMR services in different plausible scenarios. Findings A model for predicting the delays in IMR service delivery, based on four practical variables that are readily available during the planning phase, was developed and tested. The factors contributing to delays in petroleum subsea IMR services based on importance are: water depth, weather, job complexity, job uncertainty as well as job complexity mix. Research limitations/implications The multi-variable analysis model is developed based on analyzing subsea IMR service jobs performed in the petroleum industry from 2006-2008. The model can be used in the planning stage to predict potential delays in service delivery based on practical variables available. Originality/value The research proposes a multi-variable analysis model for predicting delays in service delivery. The model is useful for predicting potential delays in service delivery and for improving the plan based on model analysis results.
      PubDate: Thu, 29 Jan 2015 14:35:00 GMT
       
  • Bottleneck-based opportunistic maintenance model for series production
           systems
    • Authors: Binghai Zhou et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose The purpose of this paper is to develop a bottleneck-based opportunistic maintenance (OM) model for the series production systems with the integration of the imperfect effect into maintenance activities. Design/methodology/approach On the analysis of availability and maintenance cost, preventive maintenance (PM) models subjected to imperfect maintenance for different equipment types are built. And then, a cost-saving function of opportunistic maintenance is established to find out an optimal opportunistic maintenance strategy, depending on whether the front-bottleneck machines adopt opportunistic maintenance strategy or not. A numerical example is given to show how the proposed bottleneck-based OM model proceeded. Findings The simulation results indicate that the proposed model is better than the methods to maintain the machines separately and the policy to maintain all machines when bottleneck machine reaches its reliability threshold. Furthermore, the relationship between opportunistic maintenance strategy and corresponding parameters is identified through sensitivity analysis. Practical implications In practical situations, the bottleneck machine always determines the throughput of the whole series production system. Whenever a PM activity is carried out on the bottleneck machine, there will be an opportunity to maintenance other machines. Under such circumstances, findings of this paper can be utilized for the determination of optimal OM policy with the objective of minimizing total maintenance cost of the system. Originality/value This paper presents a bottleneck-based OM optimization model with the integration of the imperfect effect as a new method to schedule maintenance activities for a series production system with buffers. Furthermore, to the best of our knowledge, this paper presents the first attempt to considering the bottleneck constraint on system capacity and diverse types of machines as a means to minimize the maintenance cost and ensure the system throughput.
      PubDate: Thu, 29 Jan 2015 14:34:54 GMT
       
  • Risk-based maintenance and remaining life assessment for gas turbines
    • Authors: Mohamed Khalifa et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose This work proposes a quantitative model for risk-based maintenance and remaining life assessment for gas turbines. Design/methodology/approach The proposed model uses historical failure and repair data from the operation of gas turbines. The time to failure of gas turbines is modeled using Weibull distribution. Findings The total risk is estimated considering replacement cost, repair cost, operation cost, risk of failure and turbine remaining value after a specified period of time. Originality/value The model is an effective tool to make optimal decisions regarding maintenance strategy (repair or replacement) and to assess the remaining life based on a comparison of the total risk. The literature review focuses on developing different models to make risk-based decisions regarding the selection of a maintenance strategy and maintenance interval, however, literature is silent regarding risk-based assessment of the equipment remaining life, which is the focus of present work The model is tested and applied to ageing gas turbines in a cross-country pipeline.
      PubDate: Thu, 29 Jan 2015 14:34:53 GMT
       
  • A degradation model for maintenance improvement in respect of cost and
           availability
    • Authors: Christophe Letot et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose To highlight the need for degradation data in order to improve the reliability and the mean residual life estimation of a specific item of equipment and to adapt the preventive maintenance tasks accordingly. Design/methodology/approach An initial reliability model which uses a degradation-based reliability model that is built from the collection of hitting times of a failure threshold. The proposed maintenance model is based on the cost/availability criterion. The estimation of both reliability and optimum time for preventive maintenance are updated with all new degradation data that are collected during operating time. Findings An improvement for the occurrences of maintenance tasks which minimizes the mean cost per unit of time and increases the availability. Practical implications Inspection tasks to measure the degradation level should be realized at least one time for each item of equipment at a specific time determined by the proposed methodology. Originality/value The introduction of a criterion which helps the maintainer to decide to postpone or not the preventive replacement time depending on the measured degradation level of a specific item of equipment.
      PubDate: Thu, 29 Jan 2015 14:34:53 GMT
       
  • Performance measurement and management for maintenance: a literature
           review
    • Authors: Aditya Parida et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 21, Issue 1, March 2015. Purpose The purpose of this paper is to provide a literature review of the performance measurement in maintenance. The authors aim to discuss the background and development of the performance measurement for maintenance, besides defining the concept of performance measures for maintenance and the frameworks developed. Design/methodology/approach A detailed and extensive literature search and study was undertaken by the authors on the concept and definition of performance measurement, performance indicators, maintenance performance indicators and various performance frameworks. The history and theory of performance measurement over different phases of business and technological developments have been critically examined and analysed in this review paper. Findings This paper reviews and presents the different performance indicators (PIs) and performance measurement (PM) frameworks like; balanced scorecard, performance prism, performance pyramid and performance matrix etc, and identifies their characteristics and shortcomings. After considering related issues and challenges, frameworks and approaches for the maintenance performance measurement (MPM) are also presented, where the emerging techniques like; e-maintenance have also been discussed amongst others. More and more industries are applying the balanced and integrated MPM frameworks for their competitive survivability and sustainability. Practical implications The concept, issues and approaches considered for the MPM frameworks can be adapted by the practicing managers, while trying to define and develop an MPM framework for the operation and maintenance activities. The considerations of the advantages and limitations of different frameworks can provide insights to the managers for implementation. Originality/value Some literature reviews on MPM and MPM frameworks are available today. This paper makes an attempt to provide a detailed and relevant literature review, besides adding value in this new and emerging area.
      PubDate: Thu, 29 Jan 2015 14:34:52 GMT
       
  • Downtime analysis of drilling machines and suggestions for improvements
    • Authors: Hussan S. Al-Chalabi et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, Page 306-332, October 2014. Purpose – The purpose of this paper is to analyse and compare the downtime of four drilling machines used in two underground mines in Sweden. The downtime of these machines was compared to show what problems affect downtime and which strategies should be applied to reduce it. Design/methodology/approach – The study collects failure data from a two-year period for four drilling machines and performs reliability analysis. It also performs downtime analysis utilising a log-log diagram with a confidence interval. Findings – There are notable differences in the downtime of most of the studied components for all machines. The hoses and feeder have relatively high downtime. Depending on their downtime, the significant components can be ranked in three groups. The downtime of the studied components is due to reliability problems. The study suggests the need to improve the reliability of critical components to reduce the downtime of drilling machines. Originality/value – The method of analysing the downtime, identifying dominant factors and the interval estimation for the downtime, has never been studied on drilling machines. The research proposed in this paper provides a general method to link downtime analysis with potential component improvement. To increase the statistical accuracy; four case studies was performed in two different mines with completely different working environment and ore properties. Using the above method showed which components need to be improved and suggestions for improvement was proposed and will be implemented accordingly.
      PubDate: Tue, 14 Oct 2014 12:56:12 GMT
       
  • Component based life cycle costing in replacement decisions
    • Authors: Javad Seif et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The main purpose of this paper is to assess life cycle costing (LCC) of the equipment in a more realistic, precise, and applicable manner, and to apply it to a real industrial problem. Design/methodology/approach Based on the failure rates of the components of a machine, the LCC is assessed, mathematically modelled, and incorporated to the parallel machine replacement problem (PMRP) with capacity expansion consideration. The problem is modelled as mixed integer programming (MIP) which intends to minimize the total costs incurred during a planning horizon of several periods for the machines of the same type with different ages. The decision variables are the number of machines to be purchased/salvaged in each period. A genetic algorithm (GA) is developed for solving the problem and its efficiency is verified. Findings In conventional models presented for calculation of LCC, corrective maintenance costs of the machines are incorporated to the model as a whole which may result in inaccurate calculations. Obtaining this value is also very difficult and it can be different for machines with different ages. By calculating the corrective maintenance costs of a machine based on the failure rates of its components, the LCC can be properly estimated in a realistic and precise manner. The presented GA is also proven to be efficient for solving problems of almost any size with different number of machines, components, and planning periods. Practical implications The presented model and GA are applied to a real case of a construction company that needs to determine a purchase/salvage schedule for its loaders in the next 10 years. Results of the calculated schedule imply that employing new loaders rather than maintaining the aged ones generally results in the minimum LCC. Originality/value This paper presents a novel approach for precise, meaningful and practical LCC calculation. The mathematical model and its solving method can be utilized by both the manufacturers and buyers of equipment as a tool which determines a parallel machine purchase/salvage schedule for a planning horizon of several periods which incurs minimum overall cost. The presented material can be also applied to other industrial problems and cases.
      PubDate: Tue, 23 Sep 2014 02:18:24 GMT
       
  • A Blueprint paradox: Successful but unintended cross-national translation
           of Total Productive Maintenance
    • Authors: Monica Rolfsen et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The article aims to investigate if a manufacturing concept such as Total Productive Maintenance (TPM) can be copied from one location to another. Design/methodology/approach Qualitative data were gathered from a single case. This includes interviews, participatory observation and document collection. Findings We present a company with an intention to make a pure copy from one location to another, and with identical technology, production equipment, owners, customers and products, the conditions for copying should thus be as sufficient as possible. However, several minor adjustments led to a translated version showing better results than the original. Research limitations/implications The paper provides a deep understanding of a unique case, but should be supplemented with more data in order to reach general conclusions. The main theoretical contribution is to develop an understanding of translation processes different from copying concepts by expanding models of change and transfer from a purely planned perspective to explaining success through the unplanned change of organizational vehicles better fit to the intended tools and techniques. Practical implications Many companies struggle with implementing total productive maintenance, and implementation and translation aspects are lacking in the literature. The paper provides an understanding on how TPM-practice was changed and adjusted when traveling from one location to another within the same company. Originality/value Few case studies on TPM and implementation have been described. We show in detail how minor adjustments led to wider changes, arguing that a pure copy is not possible. By including institutional theory focusing on translation, new insight on implementation of TPM is provided.
      PubDate: Tue, 23 Sep 2014 02:18:24 GMT
       
  • Effectiveness of TPM implementation with and without integration with TQM
           in Indian manufacturing industries
    • Authors: Kanwarpreet Singh et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The purpose of this paper is to evaluate and extract various significant factors influencing the implementation of TQM and TPM on business performance for the following approaches: TPM alone; both TQM - TPM combined for improving manufacturing performance in Indian Manufacturing Industry. Design/methodology/approach In this study, 94 manufacturing organizations have been extensively surveyed, to ascertain the contributions made by TQM and TPM initiatives in the Indian manufacturing industries towards realizing manufacturing performance improvements. The correlations between various TQM and TPM implementation issues and manufacturing performance improvements have been evaluated and validated by employing various statistical tools. Findings This paper illustrates how the synergistic relationship of TQM and TPM Paradigms can be helpful for Indian Manufacturing Industries to have overall business performance. The major objectives of this research is to examine, the effectiveness of performance parameters (dependent variables) and factors of implementation (independent variables) of companies implementing TPM alone and TQM- TPM combined approach to improve their business performance and how the support of TQM provides a synergetic effect on TPM’s contribution in improving better business performance. Originality/value Total Quality Management (TQM) and Total productive Maintenance (TPM), are such popular initiatives employed by the manufacturing organizations as Organizational Performance Improvement Techniques. These programs are employed world over for attaining customer satisfaction, reliability, productivity, market share, profitability and even survival. The study stresses upon the need for improving the coordination between manufacturing parameters and other organizational quality improvement initiatives through transfusion of TQM and TPM and to examine the impact of experience in terms of time period on effectiveness of performance parameters when TQM is supported by TPM for Indian manufacturing companies.
      PubDate: Tue, 23 Sep 2014 02:17:43 GMT
       
  • Continuous improvement of maintenance process for the cement industry
           – a case study
    • Authors: Hani Shafeek et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The purpose of this paper is to describe the most important areas of maintenance management system for heavy industries for helping maintenance mangers to focus on measuring the effectiveness of maintenance system. This work aimed at inferring relationships between maintenance management, maintenance practices and maintenance improvement. Design/methodology/approach In relation to maintenance management, as a case study approach, it can be applied to continuous improvement maintenance systems through fifteen maintenance process areas. Findings The general picture evidences some criticalities, such as those areas which help in the success of maintenance management and areas which lead to the failure of maintenance management. It was found that by using the maintenance management system in the cement industry, it was possible to measure and improve about 15% maintenance performance which can be achieved by enhancing maintenance in the suggested areas. Practical implications Continuous Maintenance Improvement (CMI) is an ongoing effort to improve maintenance aimed at maintenance process simplification and reduction or elimination of maintenance process waste. To support CMI, maintenance engineers continually examine maintenance processes to discover and eliminate problems. Originality/value Other researchers have reported on the maintenance management system, but most of them have focused on limited areas. The lack of useful and practical research has been determined. It seems that the scientific knowledge of maintenance management still needs more effort. This study is one of the first in-depth studies into actual condition-based maintenance practice to test fifteen maintenance process areas.
      PubDate: Tue, 23 Sep 2014 02:16:41 GMT
       
  • Exploring the performance effects of performance measurement system use in
           maintenance process
    • Authors: Jaakko Tätilä et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The intended function of performance measurement is to support the effective management of an organisation and the improvement of organisational performance. However, how performance measurement should be used operationally to support the achievement of improved performance is not self-evident. The purpose of this paper is to examine the operational use of performance measurement in practice and to describe how different use practices contribute to improved performance. Design/methodology/approach We conducted an exploratory single case study in a maintenance process. Data were collected using a mixed methods approach that encompassed qualitative meetings and interviews (identification of usage practices) followed by a quantitative survey (elaboration of usage practices and their performance effects). Findings Three usage practices are relevant: Inspect and Improve, Motivate, and Decision Making. Improved performance is best achieved through motivational and supportive improvement use. Furthermore, performance measurement systems must be designed properly to establish their use. Research limitations/implications Being based on a single-case study, the identified usage practices may be limited to field service organisations or other organisations with similar organisational structures. Our findings suggest opportunities for further research linking operational performance measurement system use and the body of knowledge on the design and purpose of performance measurement in maintenance processes. Practical implications A performance measurement system can be used as a motivational improvement tool in operational level leadership. Upper level management must support its use by designing an understandable and applicable system. Originality/value This paper identifies specific usage practices that contribute to improved performance, thereby providing a more detailed view than the usage categories found in the extant literature. The focus is on operational, rather than strategic, level management.
      PubDate: Tue, 23 Sep 2014 02:16:40 GMT
       
  • Optimal lockout/tagout, preventive maintenance, human error and production
           policies of manufacturing systems with passive redundancy
    • Authors: Behnam Emami-Mehrgani et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The analysis of the optimal production and preventive maintenance with lockout/tagout planning problem for a manufacturing system is presented in this paper. The considered manufacturing system consists of two non-identical machines in passive redundancy producing one type of part. These machines are subject to random breakdowns and repairs. The aim of this study is to minimize production, inventory, backlog and maintenance costs over an infinite planning horizon; in addition, it aims to verify the influence of human reliability on the inventory levels for illustrating the importance of human error during the maintenance and lockout/tagout activities. Design/methodology/approach This paper is different compared to other research projects on preventive maintenance and lockout/tagout. The influence of human error on lockout/tagout as well as on preventive maintenance activities are presented in this paper. The preventive maintenance policy depends on the machine age. For the considered manufacturing system the optimality conditions are provided, and numerical methods are used to obtain machine age-dependent optimal control policies (production and preventive maintenance rates with lockout/tagout). Numerical examples and sensitivity analysis are presented to illustrate the usefulness of the proposed approach. Findings The proposed model taking into account the preventive maintenance activities with lockout/tagout and human error jointly, instead of taking into account separately. It verifies the influence of human error during preventive maintenance and lockout/tagout activities on the optimal safety stock levels using an extension of the hedging point structure. Practical implications The model proposed in this paper might be extended to manufacturing systems, but a number of conditions must be met to make effective use of the model presented in this paper. Originality/value The originality of this paper is to consider the preventive maintenance activities with lockout/tagout and human error simultaneously. The control policy is obtained in order to find the solution for the considered manufacturing system. This paper also brings a new vision on the importance of human reliability during preventive maintenance and lockout/tagout activities.
      PubDate: Tue, 23 Sep 2014 02:16:35 GMT
       
 
 
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