Search results

Production schedules, if not met as per timelines may result in heavy losses to a company in terms of its standing and the overall profit. Production scheduling is generally planned by not taking preventive maintenance schedules into consideration. Most of the plants allocate discrete hours/time for preventive maintenance activities. These hours allocated for preventive maintenance will be in addition to the hours which would be lost during breakdown maintenance. These lost hours may be reduced if production scheduling and preventive maintenance activities are integrated. This advocates that we need to devise a methodology which can take care of lost hours.

Adaptive and noncyclic maintenance strategy describes the modification of existing maintenance practices, policies and procedures to meet new dynamic tasks/opportunities. It demands a high degree of flexibility and mental agility from maintenance staff members. The maintenance team has to be on a lookout for an opportunity message received from the central server and has to act promptly. The moment an opportunity arises, a message is forwarded to a central maintenance server (opportunity is captured). The central server then assigns individuals/team, based on their expertise and the maintenance task due on that machine/equipment. This action is completely automated and implemented without delay.

The total man-hours saved by executing adaptive and noncyclic preventive maintenance methodology comes to 705 h during 15 days on 30 machines installed in three different sections. There was a contribution of 71 innovative ideas from the repair teams. Out of these 71 innovative ideas, 16 were found suitable for execution. A quantum jump in the morale and motivation of the maintenance team was noticed from the feedback forms. Mutual understanding and respect for each other among employees has been enhanced. The optimization of resources and infrastructure including tools, gauges, testing equipment, etc. could truly be attained.

The developed adaptive and noncyclic preventive maintenance model assists in capturing lost hours and make the system proactive and lean. The suggested model optimizes the preventive and predictive maintenance activities and results in substantial saving of efforts, manpower, resources and allocated budget.

The adaptive and noncyclic preventive maintenance model discussed in the article is a novel approach for the optimization of resources. The technique assists in capturing lost hours and utilization of these hours for preventive maintenance tasks. The model will also encourage creative and innovative ideas from employees and take the organization toward Continual Maintenance Optimization.

This paper aims to revisit the preventive maintenance scheduling literature. The problem to be solved is the simultaneous scheduling of resource‐constrained preventive maintenance and operations. In particular, the expression that defines the period‐dependent cost function for a preventive maintenance scheduling activity is redefined. A case study is presented from the shipping industry.

In this paper a mathematical theory of differential calculus known as three‐dimensional wave equation is applied. The methodology involves transforming the preventive maintenance cost function that is expressed in terms of several variables into a more precise framework. The motivation for the work is the need to measure the total preventive maintenance scheduling cost more precisely than with the use of the existing linear cost structure.

In this paper the findings from the analysis carried out found evidence that validates the claim of the feasibility of analyzing preventive maintenance cost using the approach proposed.

The paper shows that, in practice, maintenance managers strive to reduce the cost of preventive maintenance activities in order to achieve low cost production of goods. This would encourage a high patronage of customers and prevent decisions being made on wrong data. The approach presented here aims at correcting this weakness by revealing a more precise and reliable method of preventive maintenance scheduling cost computation. This is a scientific tool that should be of immense benefit to maintenance planners, particularly those actively engaged in scheduling functions.

The work in this paper is new, since a novel framework is presented in a way that has not been documented earlier.

This study aims to identify current practices of environmentally friendly sustainable preventive conservation in Asian libraries.

This study uses a predominantly quantitative survey for data collection with a combination of open and closed questions. From 237 survey links sent, 22 responses were received from libraries in 16 Asian countries.

This study uncovers current practices in four areas of environmentally sustainable preventive conservation in Asia: collection preservation, environmental monitoring and management, integrated pest management, and collections care and handling. Challenges to implementing sustainable preventive conservation were also revealed.

The response rate was relatively low, and responses were not received from all countries in Asia. As such, while the study provides a starting point for further research, it cannot be assumed that the findings are representative of Asian libraries in general. In addition, some aspects of preventive conservation (for example, disaster preparedness, exhibition) and library preservation management were excluded from the study, and research on these topics, together with environmental and economic factors, is encouraged, along with qualitative research methods.

This study highlights the environmentally friendly sustainable initiatives that libraries employ in their preservation programmes and increases awareness of challenges to implementing those initiatives.

To date there has been little research on environmentally sustainable preventive conservation practices within Asia's libraries. This study therefore makes a valuable contribution to understanding current practices of preventive conservation in Asia.

Despite the availability and accessibility of standardized screening services, such as preventative health services, many individuals avoid participation. The extant health literature has indicated that health locus of control (HLOC) influences engagement and uptake of health services. The purpose of this paper is to explore how the microfoundation, HLOC, contributes to value co-creation via service-generated and self-generated activities in standardized screening services.

A qualitative study of 25 consumers who have experienced one of the three standardized screening services in Australia was undertaken, followed by thematic analysis of the data.

Service-generated activities elicit reactive responses from consumers – compliance and relinquishing control – but when customers lead co-creation activities, their active responses emphasize protecting self and others, understanding relationship needs and gaining control. Consumers with high internal HLOC are more likely to take initiative for their health, take active control of the process and feel empowered through participating. Consumers with low internal HLOC, in contrast, require more motivation for participation, including encouragement from powerful others through promotion or interpersonal dialogue.

These findings can be used by policymakers and providers of preventative health services for the betterment of citizen health.

The integration of the DART framework, customer value co-creation activities, and the delineation of self-generated and service-generated activities provides a holistic framework to understand the influence of HLOC on the co-creation of value in standardized screening services.

The paper will present the case study of preventive and planned conservation applied to the Royal Villa and Park of Monza, which is one of the pilot projects within the general framework of Monza and Brianza Cultural District. Starting from an in-depth analysis of the Royal Villa, which represents a recent conservation and valorisation intervention developed by both public and private subjects, the purpose of this paper is to define an operative model for the management of complex properties, at communicating good practices for the maintenance of the built heritage and at identifying the priorities for the interventions.

The research project foresaw a first collection of data and information related to the previous conservation activities executed upon the case study, the design of a conservation plan in all its parts (technical handbook, conservation programme, economic budget, user handbook) through an information system dedicated to the conservation of built cultural heritage, and its fulfilment. In the meantime, a context analysis of the Royal Villa and Park of Monza was developed, with a specific attention to the diversified historical buildings located in the park.

The action research carried out has been evaluated in the framework of upstream perspective theories. This enabled to highlight the importance of an integrated approach; of the need of sharing the collection of data in order to set up evidence-based policies; and of the need to enhance the skills of involved professionals and decision makers.

A progress in protection measures, the understanding of conservation and valorisation as preventive activities, effectiveness of private business models for maintenance, dissemination of good practices, and creation of a network of local stakeholders.

The findings of this study have lightened the focal research areas in maintenance planning and scheduling. These also served as effective guidelines for future studies in this area. This research, therefore, contributes in fulfilling the gap by carrying out an SLR of contemporary research studies in the area of models for maintenance planning and scheduling. At present, SLR rooted in BA has not been carried focusing on a survey over models for maintenance planning and scheduling. SLR uses advanced scientific methodologies from BA tools to unveil thematic structures.

We have systematically reviewed over 1,021 peer-reviewed journal articles. Advanced contemporary tools from Bibliometric Analysis (BA) are used to perform a Systematic Literature Review (SLR). First, exploratory analysis is presented, highlighting the influential authors, sources and region amongst other key indices. Second, the large bibliographical data is visualized using co-citation network analyses, and research clusters (themes) are identified. The co-citation network is extended into a dynamic co-citation network and unveils the evolution of the research clusters. Last, cluster-based content analysis and historiographical analysis is carried out to predict the prospect of future research studies.

BA tools first outlined an exploratory analysis that noted influential authors, production countries, top-cited papers and frequent keywords. Later, the bibliometric data of over 1,021 documents is visualized using co-citation network analyses. Later, a dynamic co-citation analysis identified the evolution of research clusters over time. A historiographical direct citation analysis also unveils potential research directions. We have clearly observed that there are two main streams of maintenance planning and scheduling applications. The first has focused on joint maintenance and operations on machines. The second focused on integrated production and maintenance models in an echelon setting for unrealizable production facilities.

There are many literature review-based research studies that have contributed to maintenance scheduling research surveys. However, most studies have adopted traditional approaches, which often fall short in handling large bibliometric data and therefore suffer from selection biases from the authors. As a result, in this area, the existing reviews could be non-comprehensive. This study bridges the research gap by conducting an SLR of maintenance models, which to the best of our knowledge, has not been carried out before this study.

This paper seeks to study maintenance policies on a plant‐wide level. It focuses on the effectiveness of condition‐based maintenance (CBM). It highlights the role of the production context and the importance of using appropriate metrics to assess CBM.

A simulation model was developed to explore the effects of production context using traditional performance indicators (costs and availability of each piece of equipment) and a more comprehensive metric (line efficiency).

The results showed that CBM has the best performance among other PM policies in loosely coupled processes. By contrast, in tightly coupled processes, CBM has a negative effect on the production line efficiency because it increases equipments' blockage and starvation states.

The simulation model was developed to reflect the reality. Nevertheless, some assumptions have been used to develop the conceptual and computerized model, which can be explored further in future research.

The idea of this paper originates from empirical findings of fellow researchers. The findings in this paper provide a better understanding of how CBM affects key performance indicators in different production contexts and therefore help managers to appropriately execute CBM programmes.

This study focuses on CBM from a new angle. The majority of the literatures on condition‐based maintenance either discusses pure technical issues, or focusses on single equipment only. In this research, the effectiveness of CBM for two processes is studied and CBM is compared with block and age‐based replacement policies using a comprehensive performance indicator.

The purpose of this paper is to develop a new maturity model to identify the current state of maintenance area of organizations and drives actions to increase efficiency and effectiveness toward the concept known as world-class.

The model was developed based on an extensive literature review on maintenance management and maturity assessment, which allowed identifying the relevant factors in maintenance management and the world-class behaviors for each factor. The progressive maturity levels for each of the identified ten factors form the model. To test its effectiveness, it was applied to the maintenance area of three companies.

The model application showed that, in addition to being a self-assessment tool, it provides knowledge, to those who use it, on behaviors or practices that enable world-class results. For each factor, potential gaps and the desired state were defined focusing on behaviors rather than on indicators values or adopted methodologies, which facilitates the identification of improvement actions that lead to better performance.

Through its use, maturity levels can be identified for all considered maintenance management factors, however, the overall maturity of the maintenance area is not determined. Although this overall evaluation can be done assigning a weight to each factor, it was not considered an added value for the set purpose.

The proposed maturity model contributes to the understanding of the maintenance management process and how to stand out nowadays in an area that has an increasingly important impact on productivity and quality.

The purpose of this article is to compare maintenance policies based on Weibull and q-Weibull models.

This paper uses analytical developments, several figures and tables for graphical and numerical comparison. Previously published hydropower equipment data are used as examples.

Models for optimal maintenance interval determination based on q-Weibull distribution were defined. Closed-form expressions were found, and this allows the application of the method with small computational effort.

The use of the q-Weibull model to guide the definition of maintenance strategy allows decision-making to be more consistent with sample data. The flexibility of the q-Weibull model is able to produce failure rate modeling with five different formats: decreasing, constant, increasing, unimodal and U-shaped. In this way, the maintenance strategies resulting from this model should be more assertive.

Expressions for determining the optimal interval of preventive maintenance were deduced from q-Weibull distribution. Expected costs per maintenance cycle of Brazilian hydropower equipment were calculated with q-Weibull and Weibull distributions. These results were compared in terms of absolute values and trends. Although a large number of works on corrective and preventive maintenance have been proposed, no applications of the q-Weibull distribution were found in literature.

Cost-benefit (C/B) analysis helps to determine the economic feasibility of business software investments. Research literature and published practices do not recognize substantial software maintenance costs in C/B analysis. Current analyses emphasize the benefits of an initial investment but do not consider the recurring benefits of each enhancement during the software lifecycle. Such analyses could lead to incorrect investment decisions and lost business opportunities. This article aims to review current research on software lifecycle costs and develop a theoretically sound C/B analysis.

This article reviews current C/B analyses and discusses their shortcomings in treating the significant recurring maintenance costs. It analyzes the findings of various studies on software maintenance and synthesizes these findings to identify the nature of various maintenance costs and their benefits. Based on the synthesis, it theorizes various cost and benefit elements for inclusion in a revised C/B analysis.

This article identifies each recurring maintenance cost relevant to C/B analysis. It also identifies recurring benefits from each enhancement that hitherto have been omitted. Finally, this article discusses how these costs and benefits should be treated in the revised C/Bs analysis.

This is a conceptual paper proposing a new C/B analysis and requires an empirical validation.

This article provides a revision of the C/B analysis that is long overdue. It will help to justify a software investment correctly, rank software projects that compete for limited funds and help create a sound software project portfolio. Since 20% of software products may incur 80% of software investment, this analysis will help to make correct software investments and avoid lost business opportunities. This article also describes a practical method to use the revised C/B analysis.

This article provides a revision of the C/B analysis that is long overdue. It will help to justify a software investment correctly, rank software projects that compete for limited funds and help create a sound software project portfolio. Since 20% of software products may incur 80% of software investment, this analysis will help to make correct software investments and avoid lost business opportunities. This article also describes a practical method to use the revised C/B analysis.