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Article
Publication date: 1 January 2006

M. Ben‐Daya and S.A. Noman

Sets out to develop an integrated model that considers simultaneously inventory production decisions, PM schedule, and warranty policy for a deteriorating system that…

Abstract

Purpose

Sets out to develop an integrated model that considers simultaneously inventory production decisions, PM schedule, and warranty policy for a deteriorating system that experiences shifts to an out of control state. The time to shift follows a general probability distribution with increasing hazard rate, so that time‐based PM is effective in improving the system reliability.

Design/methodology/approach

A profit function is used to model the production system. Optimization techniques are used to generate optimal solutions for the problem. Although global optimality cannot be guaranteed, empirical results show that global optimal solutions are obtained.

Findings

The integrated model provides decisions on inventory levels, production run length, and PM schedule simultaneously. It is illustrated through numerical examples that investment in PM can lead to savings in warranty claims for repairable products. As a result, the overall profit per unit, in certain cases, is higher with PM than without PM.

Research limitations/implications

The production system is taken, numerical examples are presented and a sensitivity analysis is conducted to gain more insight into the developed model. In particular, the numerical analysis shows that a better PM program reduces warranty claims.

Practical implications

In addition to the joint optimization of production/inventory decisions and PM schedule, such models can be very useful in making resource allocation decisions between warranty and PM programs. It is clear from the numerical analysis that a better PM program reduces warranty claims.

Originality/value

The paper provides a joint optimization of production inventory decisions and the PM schedule for a system subject to a time to shift that follows a general probability distribution. Previous research considered only an exponential distribution and did not consider PM.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

Content available
Article
Publication date: 1 January 2006

Abdul Raouf, Salih Duffuaa and Mohamed Ben-Daya

Abstract

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 1 June 2000

Mohamed Ben‐Daya

A brief article considering the nature of total productive maintenance (TPM) and reliability‐centered maintenance (RCM) and the relationship between the two. Notes…

Abstract

A brief article considering the nature of total productive maintenance (TPM) and reliability‐centered maintenance (RCM) and the relationship between the two. Notes equipment management and empowerment of employees as key features of TPM. Sees the development of an effective preventive maintenance program as essential to effective equipment management and suggests that RCM is central to the development of such a program. Points out that, if implemented within the framework of TPM, RCM can help achieve better results from the TPM implementation.

Details

Journal of Quality in Maintenance Engineering, vol. 6 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

A.F.B. Costa and M.A. Rahim

The aim of this paper is to present a synthetic chart based on the non‐central chi‐square statistic that is operationally simpler and more effective than the joint and R

Abstract

Purpose

The aim of this paper is to present a synthetic chart based on the non‐central chi‐square statistic that is operationally simpler and more effective than the joint and R chart in detecting assignable cause(s). This chart will assist in identifying which (mean or variance) changed due to the occurrence of the assignable causes.

Design/methodology/approach

The approach used is based on the non‐central chi‐square statistic and the steady‐state average run length (ARL) of the developed chart is evaluated using a Markov chain model.

Findings

The proposed chart always detects process disturbances faster than the joint and R charts. The developed chart can monitor the process instead of looking at two charts separately.

Originality/value

The most important advantage of using the proposed chart is that practitioners can monitor the process by looking at only one chart instead of looking at two charts separately.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 June 1995

Salih O. Duffuaa and Mohamed Ben‐Daya

Examines the application and use of statistical process control(SPC) tools to improve the quality of maintenance work. Identifies areasin maintenance where SPC tools can…

Abstract

Examines the application and use of statistical process control (SPC) tools to improve the quality of maintenance work. Identifies areas in maintenance where SPC tools can be used. Gives an example that demonstrates the use of these tools in an integrated fashion and outlines the data needed to utilize these tools effectively. Finally, the need for an integration of the maintenance information system (MIS) and the quality information system (QIS) is highlighted.

Details

Journal of Quality in Maintenance Engineering, vol. 1 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

A.N. Shuaib

The purpose of this paper is to develop a procedure for deciding on the limits of initial clearance to which tubesheet holes can be enlarged before replacement in heat…

Abstract

Purpose

The purpose of this paper is to develop a procedure for deciding on the limits of initial clearance to which tubesheet holes can be enlarged before replacement in heat exchanger maintenance.

Design/methodology/approach

An empirical model that relates the hardness of roller expanded tubes and ligaments to initial clearance is developed from experimental data to predict the extent of tolerable levels of over‐enlargement of tubesheet holes before the joint loses its structural integrity. The developed model serves as an additional criterion to decide whether to keep or discard a tubesheet having over‐enlarged holes during heat exchanger maintenance.

Findings

The current industrial criterion does not directly include the effect of material degradation for over‐enlarged holes. The empirical models indicate that both tubes and ligaments suffer strain hardenings. A new procedure is proposed to supplement the current industrial criterion.

Practical implications

The procedure will assist maintenance managers/engineers in deciding on the replacement of heat exchanger tubesheets. The combined criteria will have an impact on the cost of heat exchanger maintenance and plant downtime.

Originality/value

The procedure proposed in this paper adds to the industrial criterion another one that caters for the degradation in properties that the tube, tubesheet, and surrounding ligaments will be subjected to during roller expansion. In other words, it considers the strain hardening of the tube and tubesheet materials in setting the initial clearance between the tube and tubesheet that ensures adequate joint integrity.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

J. Pongpech, D.N.P. Murthy and R. Boondiskulchock

The aim of this research is to determine the optimal upgrade and preventive maintenance actions that minimize the total expected cost (maintenance costs+penalty costs).

Abstract

Purpose

The aim of this research is to determine the optimal upgrade and preventive maintenance actions that minimize the total expected cost (maintenance costs+penalty costs).

Design/methodology/approach

The problem is a four‐parameter optimization with two parameters being k‐dimensional. The optimal solution is obtained by using a four‐stage approach where at each stage a one‐parameter optimization is solved.

Findings

Upgrading action is an extra option before the lease of used equipment, in addition to preventive maintenance action. Upgrading action makes equipment younger and preventive maintenance action lowers the ROCOF.

Practical implications

There is a growing trend towards leasing equipment rather than owning it. The lease contract contains penalties if the equipment fails often and repairs are done within reasonable time period. This implies that the lessor needs to look at optimal preventive maintenance strategies in the case of new equipment lease, and upgrade actions plus preventive maintenance in the case of used equipment lease. The paper deals with this topic and is of great significant to business involved with leasing equipment.

Originality/value

Nowadays many organizations are interested in leasing equipment and outsourcing maintenance. The model in this paper addresses the preventive maintenance problem for leased equipment. It provides an approach to dealing with this problem.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

Albert H.C. Tsang, W.K. Yeung, Andrew K.S. Jardine and Bartholomew P.K. Leung

This paper aims to discuss and bring to the attention of researchers and practitioners the data management issues relating to condition‐based maintenance (CBM) optimization.

Abstract

Purpose

This paper aims to discuss and bring to the attention of researchers and practitioners the data management issues relating to condition‐based maintenance (CBM) optimization.

Design/methodology/approach

The common data quality problems encountered in CBM decision analyses are investigated with a view to suggesting methods to resolve these problems. In particular, the approaches for handling missing data in the decision analysis are reviewed.

Findings

This paper proposes a data structure for managing the asset‐related maintenance data that support CBM decision analysis. It also presents a procedure for data‐driven CBM optimization comprising the steps of data preparation, model construction and validation, decision‐making, and sensitivity analysis.

Practical implications

Analysis of condition monitoring data using the proportional hazards modeling (PHM) approach has been proved to be successful in optimizing CBM decisions relating to motor transmission equipment, power transformers and manufacturing processes. However, on many occasions, asset managers still make sub‐optimal decisions because of data quality problems. Thus, mathematical models by themselves do not guarantee that correct decisions will be made if the raw data do not have the required quality. This paper examines the significant issues of data management in CBM decision analysis. In particular, the requirements of data captured from two common condition monitoring techniques – namely vibration monitoring and oil analysis – are discussed.

Originality/value

This paper offers advice to asset managers on ways to avoid capturing poor data and the procedure for manipulating imperfect data, so that they can assess equipment conditions and predict failures more accurately. This way, the useful life of physical assets can be extended and the related maintenance costs minimized. It also proposes a research agenda on CBM optimization and associated data management issues.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

B.S. Dhillon and Y. Liu

The aim of the paper is to present the impact of human errors in maintenance as found in the literature in order for practitioners to be aware of their impact and develop…

Abstract

Purpose

The aim of the paper is to present the impact of human errors in maintenance as found in the literature in order for practitioners to be aware of their impact and develop actions to mitigate their effect.

Design/methodology/approach

The paper systematically categorizes the published literature and then analyzes and reviews it methodically.

Findings

Human error in maintenance is a pressing problem.

Practical implications

A maintenance person plays an important role in the reliability of equipment. It is also a well‐known fact that a significantly large proportion of total human errors occur during the maintenance phase. Human error in maintenance is a subject which in the past has not been given the amount of attention that it deserves. This paper will be useful to people working in the area of maintenance engineering, as it presents a general review of literature published on maintenance errors in various sectors of industry.

Originality/value

The paper contains a comprehensive listing of publications on the field in question and their classification according to industry. The paper will be useful to researchers, maintenance professionals and others concerned with maintenance to understand the importance of human error in maintenance.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 1 January 2006

Liliane Pintelon, Srinivas Kumar Pinjala and Ann Vereecke

To provide a framework that can identify and evaluate the effectiveness of a given maintenance strategy in a company. This can help in the strategic management of maintenance.

Abstract

Purpose

To provide a framework that can identify and evaluate the effectiveness of a given maintenance strategy in a company. This can help in the strategic management of maintenance.

Design/methodology/approach

The framework is developed using Hayes and Wheelwright's four‐stage framework on manufacturing strategy as a guideline. To gain a clearer understanding of the framework and its usefulness the subject topic is elaborated in two phases: definition of maintenance strategy, framework description and operationalization using case examples. The scope of the paper is limited to performance measurement of maintenance strategies.

Findings

It is found that the framework is applicable and useful for the strategic management of the maintenance function. The case example depicting the fourth stage shows that maintenance can also contribute to enhancing the competitive advantage of a company.

Practical implications

Given the current position of maintenance, the framework used in this paper also suggests the strategic direction to progress for long‐term effectiveness. It helps in stimulating practising managers to manage maintenance with a strategic thinking and mindset. It also helps them to visualize the capabilities of maintenance in enhancing the competitive advantage of a company.

Originality/value

Unlike other functions like manufacturing and business, the strategic literature on maintenance is meagre. Many tools and techniques have been developed and applied in other fields. However, the applicability of those tools to maintenance function has never been tried. In that respect this topic is new. It helps in managing maintenance more effectively, given its growing technical and technological complexity.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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