Linking maintenance strategies to performance
TL;DR: In order to achieve world-class performance, more and more companies are replacing their reactive, fire-fighting strategies for maintenance with proactive strategies like preventive and predictive maintenance and aggressive strategies like total productive maintenance as discussed by the authors.
About: This article is published in International Journal of Production Economics.The article was published on 2001-04-18. It has received 605 citations till now. The article focuses on the topics: Proactive maintenance & Predictive maintenance.
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TL;DR: In this paper, the authors present an overview of TPM implementation practices adopted by the manufacturing organizations and highlight appropriate enablers and success factors for eliminating barriers in successful TPM implementations.
Abstract: Purpose – The purpose of this paper is to review the literature on Total Productive Maintenance (TPM) and to present an overview of TPM implementation practices adopted by the manufacturing organizations. It also seeks to highlight appropriate enablers and success factors for eliminating barriers in successful TPM implementation.Design/methodology/approach – The paper systematically categorizes the published literature and then analyzes and reviews it methodically.Findings – The paper reveals the important issues in Total Productive Maintenance ranging from maintenance techniques, framework of TPM, overall equipment effectiveness (OEE), TPM implementation practices, barriers and success factors in TPM implementation, etc. The contributions of strategic TPM programmes towards improving manufacturing competencies of the organizations have also been highlighted here.Practical implications – The literature on classification of Total Productive Maintenance has so far been very limited. The paper reviews a larg...
521 citations
Cites background from "Linking maintenance strategies to p..."
...Swanson (2001) describes the four key components of TPM as worker training, operator involvement, teams and preventive maintenance....
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TL;DR: In this paper, a review of the literature on maintenance management and suggest possible gaps from the point of view of researchers and practitioners is presented, where important issues in maintenance management range from various optimization models, maintenance techniques, scheduling and information systems.
Abstract: Purpose – The purpose of this paper is to review the literature on maintenance management and suggest possible gaps from the point of view of researchers and practitionersDesign/methodology/approach – The paper systematically categorizes the published literature and then analyzes and reviews it methodicallyFindings – The paper finds that important issues in maintenance management range from various optimization models, maintenance techniques, scheduling, and information systems etc Within each category, gaps have been identified A new shift in maintenance paradigm is also highlightedPractical implications – Literature on classification of maintenance management has so far been very limited This paper reviews a large number of papers in this field and suggests a classification in to various areas and sub areas Subsequently, various emerging trends in the field of maintenance management are identified to help researchers specifying gaps in the literature and direct research efforts suitablyOriginali
512 citations
TL;DR: The fuzzy AHP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with MCDM problems, which might prove beneficial for plant maintenance managers to define the optimum maintenance strategy for each piece of equipment.
468 citations
TL;DR: Experimental results have shown that RFs can generate more accurate predictions than FFBP ANNs with a single hidden layer and SVR, and experimental results have also shown thatRFs can be more accurate than support vector regression (SVR) without a hidden layer.
Abstract: Manufacturers have faced an increasing need for the development of predictive models that predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or components. Classical model-based or physics-based prognostics often require an in-depth physical understanding of the system of interest to develop closedform mathematical models. However, prior knowledge of system behavior is not always available, especially for complex manufacturing systems and processes. To complement model-based prognostics, data-driven methods have been increasingly applied to machinery prognostics and maintenance management, transforming legacy manufacturing systems into smart manufacturing systems with artificial intelligence. While previous research has demonstrated the effectiveness of data-driven methods, most of these prognostic methods are based on classical machine learning techniques, such as artificial neural networks (ANNs) and support vector regression (SVR). With the rapid advancement in artificial intelligence, various machine learning algorithms have been developed and widely applied in many engineering fields. The objective of this research is to introduce a random forests (RFs)-based prognostic method for tool wear prediction as well as compare the performance of RFs with feed-forward back propagation (FFBP) ANNs and SVR. Specifically, the performance of FFBP ANNs, SVR, and RFs are compared using an experimental data collected from 315 milling tests. Experimental results have shown that RFs can generate more accurate predictions than FFBP ANNs with a single hidden layer and SVR. [DOI: 10.1115/1.4036350]
367 citations
TL;DR: In this article, an effective maintenance policy could influence the productivity and profitability of a manufacturing process, and the main results of the case study performed at a Swedish paper mill showed that a paper-mill machine could, ideally, generate extra profit of at least 7.8 million Swedish kronor (SEK) (approximately US$ 0.975 million) per year, i.e. 12.5% of its yearly maintenance budget, if it avoids all unplanned stoppages and bad quality production due to maintenance-related causes.
329 citations
References
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11 May 2001
TL;DR: The Handbook of Industrial Engineering, Third Edition as mentioned in this paper provides a vast array of timely and useful methodologies for achieving increased productivity, quality, and competitiveness and improving the quality of working life in manufacturing and service industries.
Abstract: Unrivaled coverage of a broad spectrum of industrial engineering concepts and applicationsThe Handbook of Industrial Engineering, Third Edition contains a vast array of timely and useful methodologies for achieving increased productivity, quality, and competitiveness and improving the quality of working life in manufacturing and service industries. This astoundingly comprehensive resource, now available in a three-volume set, also provides a cohesive structure to the discipline of industrial engineering with four major classifications: technology; performance improvement management; management, planning, and design control; and decision-making methods. Completely updated and expanded to reflect nearly a decade of important developments in the field, this Third Edition features a wealth of new information on project management, supply-chain management and logistics, and systems related to service industries. Other important features of this essential reference include: More than 1,000 helpful tables, graphs, figures, and formulas Step-by-step descriptions of hundreds of problem-solving methodologiesHundreds of clear, easy-to-follow application examples Contributions from 176 accomplished international professionals with diverse training and affiliations More than 4,000 citations for further readingVolume 1 includes the list of advisory board members, the contributors, Foreword by John Powers, Preface by Gavriel Salvendy, the table of contents, Section 1: Industrial Engineering Function and Skills, and Section II: Technology. Volume 2 includes Section III: Performance Improvement Management and Section IV: Management, Planning, Design, and Control.Volume 3 includes Section V: Methods for Decision Making and the comprehensive Author and Subject Index.The Handbook of Industrial Engineering, Third Edition is an immensely useful one-stop resource for industrial engineers and technical support personnel in corporations of any size; continuous process and discrete part manufacturing industries; and all types of service industries, from healthcare to hospitality, and from retailing to finance.
515 citations
TL;DR: In this paper, the authors identify the areas of concern in maintenance scheduling and surveys representative work from the academic and practitioner literature to identify specific points of practice and theory which need further investigation.
Abstract: Productivity, based on estimated and actual hours, of most maintenance workers is only 30 to 50 per cent. Given the significance of maintenance to manufacturing competitiveness, it is surprising how little research is being carried out. Scheduling is a crucial component of maintenance management and is a focus of research. Identifies the areas of concern in maintenance scheduling and surveys representative work from the academic and practitioner literature. Specific points of practice and theory which need further investigation are pinpointed.
124 citations
"Linking maintenance strategies to p..." refers background in this paper
...Then the failed equipment is repaired or replaced [3]....
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TL;DR: A framework for the designing of maintenance concepts is presented and the requirements to be met by a maintenance concept are specified.
118 citations
"Linking maintenance strategies to p..." refers background in this paper
...It is comprised of maintenance activities that are undertaken after a speci"ed period of time or amount of machine use [6,7]....
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...Speci"cally, maintenance is initiated in response to a speci"c equipment condition [5,6]....
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25 Sep 1989
TL;DR: The Tennessee Eastman Company (TEC) has defined TPM (total productive maintenance) as a partnership between the maintenance and production organizations to improve product quality, reduce waste, reduce manufacturing cost, increase equipment availability, and improve TEC's state of maintenance as mentioned in this paper.
Abstract: Tennessee Eastman Company (TEC) has defined TPM (total productive maintenance) as a partnership between the maintenance and production organizations to improve product quality, reduce waste, reduce manufacturing cost, increase equipment availability, and improve TEC's state of maintenance. This partnership emphasizes the involvement of all employees in maintaining facilities and equipment. TPM at TEC is composed of six concepts: utilization of operators to perform specified routine maintenance tasks on their equipment; utilization of operators to assist mechanics in the repair of equipment when it is down; utilization of mechanics to assist operators in the shutdown and start-up of equipment; utilization of lower-skilled personnel to perform routine jobs not requiring skilled craftsman; utilization of computerized technology to enable operators to calibrate selected instruments; and transfer of tasks between operating groups. >
22 citations
"Linking maintenance strategies to p..." refers background in this paper
...The objective of these team-based activities is to improve equipment performance through better communication of current and potential equipment problems [12,13]....
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Journal Article•
8 citations
"Linking maintenance strategies to p..." refers background in this paper
...Weil [2] added another approach in his description of the maintenance continuum by including TPM....
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