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This paper aims to synthesize and categorize the published literatures related to maintenance strategies formulation, selection and implementation in various industries. The purpose of this paper is to develop a conceptual framework based on literature review for formulation of maintenance strategies, selection and the implementation of selected strategies. Further, to study on impact of maintenance strategies implementation in maintenance function.

A literature review has been carried out to identify the existing frameworks related to maintenance strategies formulation, selection of maintenance strategy and implementation of maintenance strategy in the industry. Literature support for all the conceptual constructs referred in the framework has been discussed to establish a logical sequence.

A conceptual framework for maintenance strategies formulation, selection and implementation and its impact in maintenance function has been developed. Further, constructs and sub-constructs which form the basis for maintenance strategies formulation, selection and implementation have been identified from the literatures. In addition, propositions have also been formulated to support the conceptual framework and these propositions provide the logical relationship among the maintenance strategies formulation, selection among the formulated strategies and the implementation of these strategies.

The conceptual framework developed in this paper for maintenance strategy formulation and selection is yet to be empirically tested. The proposed framework can be tested in various industries.

Literature study on maintenance strategy formulation and selection has so far been very limited. Maintenance strategy selection is a critical decision-making problem for the maintenance managers working in the process plant, manufacturing companies, etc. The conceptual framework proposed in this paper will help maintenance managers to asses, formulate, select suitable maintenance strategy and implement for their organization.

The paper provides comprehensive study on maintenance strategy problem which will be useful to researchers, maintenance managers and other professionals in various industries such as process industry, manufacturing industry, etc., to understand maintenance strategy selection problem and implementation of maintenance strategy.

The contemporary business environment has raised the strategic importance of the maintenance function in organizations which have significant investment in physical assets. Four strategic dimensions of maintenance management are identified, namely service‐delivery options, organization and work structuring, maintenance methodology and support systems. The alternatives available are reviewed: the guidelines for selection of these alternatives, the key decision areas in each of the four dimensions, as well as the critical success factors for the transformation process are discussed. The two factors that permeate in these strategic dimensions are human factors and information flow; the latter can be made more efficient by embracing the e‐maintenance model.

The purpose of this paper is to develop a prototype system to demonstrate the potential benefits of deploying mobile technology to enhance asset maintenance processes in a small food manufacturing plant.

Design, development and deployment of a solution using open-source resources aimed at demonstrating improved asset maintenance functionality to principal stakeholders in a food manufacturing plant.

The development of a prototype system supporting user interaction via a mobile phone demonstrates the potential benefits of more flexible data capture and improved information management which offer clear advantages over the limitations imposed by a stand-alone terminal.

The solution was developed as a prototype. In this respect it serves to illustrate system benefits but more work is needed to extend system functionality.

Issues concerning data security and questions surrounding a suitable deployment platform would need to be addressed in deploying this technology.

The research demonstrates that mobile technology can successfully be utilised to enhance asset maintenance in a small manufacturing plant by improving data capture and information management. These initiatives are likely to be of interest to other SMEs seeking to enhance asset maintenance processes.

The purpose of this paper is to describe a flexible architecture concept to provide a ubiquitous computing framework where condition‐based maintenance (CBM) data and information can be easily accessed, and maintenance decisions may be performed wherever required.

The architecture is based on a platform of intelligent web services, and logically structured decision layers based on the open systems architecture for CBM definition, from condition monitoring to decision support, and provides automated extraction of results. The application of web services is demonstrated, first related with an original vision on the adoption of mobile devices for dynamic maintenance management solutions, and then with a more conventional web‐based predictive maintenance management system.

Scenarios for the upgrade of existing preventive maintenance practices towards condition‐based strategies are sufficiently different to require customised solutions. A web‐based platform can work with such differences in a cost‐effective way.

Further research can expand the actual platform by embedding new complementary web services.

Condition‐based strategies can provide clear savings in many maintenance activities. The platform described will provide the necessary flexibility to industrial users to manage the volume of data and information needed in CBM.

The platform is flexible enough to provide intelligent processing “on‐demand” and ubiquitously, with a three‐level configuration of web services, agents and interfaces that facilitates interoperability with existing legacy systems. Finally, the platform can grow according to the needs of the user (e.g. new information, increased knowledge on the process, new measurements, etc.).

The aim with this paper is to describe current IT practices within maintenance in Swedish industry, and to outline the future possible developments.

The study is performed as a web‐based questionnaire survey consisting of 71 participants. A systems perspective is applied for capturing the most relevant aspects of IT utilisation.

The IT practices are characterised by high use of business‐specific IT solutions, low use of company‐wide IT solutions, low IT intensity and the client‐server architecture is dominating. The purchase decision and ownership of IT is to high extent tied to the maintenance function. Moreover, IT systems are apprehended as beneficial and connected to real needs. The findings imply a decentralised IT governance form and a mainly vertical (functional) IT support.

The socio‐technical approach suggested in this paper helps us to identify which areas to study, and also shows the tight interrelationship between different factors, layers and systems.

The study results could be used for benchmarking purposes or to highlight state‐of‐the‐art of IT utilisation in maintenance, and thereby set the topic on the corporate agenda.

Studies describing IT utilisation within maintenance in the form of case studies and surveys exist, but they mainly focus on one aspect. This study approached the problem from a socio‐technical perspective, covering several aspects connected to IT utilisation.

The purpose of this paper is to define a process for maintenance management and to classify maintenance engineering techniques within that process.

The paper presents a generic model proposed for maintenance management which integrates other models found in the literature for built and in‐use assets, and consists of eight sequential management building blocks. The different maintenance engineering techniques are playing a crucial role within each one of those eight management building blocks. Following this path it characterizes the “maintenance management framework”, i.e. the supporting structure of the management process.

The paper offers a practical vision of the set of activities composing each management block, and the result of the paper is a classification of the different maintenance engineering tools. The discussion of the different tools can also classify them as qualitative or quantitative. At the same time, some tools will be very analytical tools while others will be highly empirical. The paper also discusses the proper use of each tool or technique according to the volume of data/information available.

As a consequence, of the implementation of advanced manufacturing technologies and just‐in‐time production systems, the nature of the production environment has changed during the last two decades. This has allowed companies to massively produce products in a customized way. But the increase in automation and the reduction in buffers of inventory in the plants clearly put more pressure on the maintenance system. The present maintenance management framework has been proposed in order to diminish this pressure. Whatever the model an organization adopts, it has to be evolving to continue being useful against the fast changes that occur in business, communications and industry. A key to achieve this could be the incorporation of the techniques proposed in this paper besides the integration of platforms known as “next generation manufacturing practices” This implies the use of e‐maintenance as a sub‐concept of e‐manufacturing and e‐business.

This paper presents not only a process but also the framework and techniques to manage and improve maintenance effectiveness and efficiency. This paper will be useful to researchers, maintenance professionals and others concerned with maintenance management.

Field expertise in industry is often poorly recorded and unexploited. The purpose of this paper is to introduce a methodology and tool that incorporates a knowledge validation loop to leverage upon human-contributed field observations in industrial maintenance management. Starting from a failure mode, effects and criticality analysis (FMECA) model, it defines a collaborative process that links FMECA knowledge with field maintenance practice.

A metadata management system is designed to encourage staff involvement in enriching knowledge with field observations. The process supports easy feedback and collaborative annotation and is pilot tested via an industrial case study.

Streamlining FMECA validation is welcomed by maintenance staff, empowering them to exert more control over the management, usage and versioning of reference knowledge.

The methodology for metadata management in industrial maintenance enables staff participation in a collaborative knowledge enrichment process. Metadata management is a pre-cursor and therefore an important step to drive future analytics.

Industry personnel are more inclined to contribute to organisational knowledge if the process is based on reference knowledge and requires minimal interaction.

Facilitating individual contribution to collective knowledge strengthens the sense that each staff member can have organisational impact.

The paper introduces a methodology and tool to stimulate human-contributed knowledge in industrial maintenance, strengthening collaborative organisation knowledge flows.

This paper aims to develop a service‐oriented distributed multi‐robot system based on manufacturing message specification (MMS) and new‐generation distributed object technology – web services for realizing remotely monitoring and controlling multiple heterogeneous robots in the internet environment.

The study presents robot communication model and distributed multi‐robot monitoring and control software structure based on MMS and web services. In particular, monitoring and control software design of MMS concepts in web services environment using Unified Modeling Language model is discussed in detail. In addition, to verify the validity of the proposed design method, a multi‐robot prototype system for robot flexible assemble cell has been achieved. Its Server software is implemented in C++ with Visual Studio.NET being the development environment and Client software is programmed in Java with Borland JBuilder 9 being the development tool.

Finds that the communication structure following MMS can make the multi‐robot monitoring and control system have perfect robustness, interoperability and reconfigurability. Besides, web services technology can conveniently realize MMS services, also can successfully resolve the remote multi‐robot monitoring and control problem among cross‐network, cross‐platform and heterogeneous systems.

Provides an easy and low‐cost method for realizing heterogeneous multi‐robot remote driving. The web‐based distribution of the presented system is critical in enabling capabilities such as e‐manufacturing, e‐diagnostics and e‐maintenance.

The proposed system can be seamlessly integrated into other automated manufacturing systems or management systems in plug‐and‐play fashion. The combination of MMS and web services is in favor of real manufacturing equipments being embedded in the network, so the presented systematic methodology can be a useful reference for constructing web‐based reconfigurable manufacturing systems.

Provides robot communication model based on MMS and web services and presents service‐oriented distributed remote multi‐robot monitoring and control software architecture.