Maintenance Quality Function Deployment Research Articles

Analytical hierarchy process-based maintenance quality function deployment integrating total quality management with total productive maintenance and its application in dairy industry

Analytical hierarchy process-based maintenance quality function deployment integrating total quality management with total productive maintenance and its application in dairy industry

Strategic Receptivity of Maintenance Quality Function Deployment across Heterogeneous Organizational Cultures

Strategic Receptivity of Maintenance Quality Function Deployment across Heterogeneous Organizational Cultures

Strategic receptivity of maintenance quality function deployment across heterogeneous organisational cultures

Strategic receptivity of maintenance quality function deployment across heterogeneous organisational cultures

Analytical hierarchy process based Maintenance quality function deployment integrating Total quality management with Total productive maintenance and its application in dairy industry

Analytical hierarchy process based Maintenance quality function deployment integrating Total quality management with Total productive maintenance and its application in dairy industry

The Implementation of Maintenance Quality Function Deployment (MQFD) to Improve the Quality Maintenance Management for the Upstream Oil and Gas Industry

The global energy market is still dominated by oil and gas energy. Pipeline is one of the most efficient means of distributing crude oil. In an oil and gas production unit, pipes are a means that often fails. A pipeline will operate optimally if it gets good maintenance. The concept of Total Productive Maintenance (TPM is an implementation subject that includes the concept of quality improvement engineering, or commonly known as TQM), but in its application, TPM eliminates one of the strategies in TQM, which reflects the voice of the operator (user’s voice) to influence quality improvement ongoing maintenance, so as to perfect the TPM approach, a supporting technique is needed that can reflect the operator’s voice, namely QFD, so that the combination of the two methods or so-called Maintenance Quality Function Deployment (MQFD) models is considered to be able to improve the quality of maintenance because it is a more comprehensive approach, and involves all elements involved, so that the expected quality improvement can be in accordance with the rules of total quality management Based on the results of the TPM parameter calculation, it is known that all OEE values have met the world’s standard of 86%. in carrying out its operations there are still reports of damage, leakage, and vandalism in the production pipeline. Based on the results of the identification of user’s voice, there are 19 attributes of maintenance quality that must be prioritized.

Integration of Total Quality Management with Total Productive Maintenance to develop Maintenance Quality Function Deployment model and its implementation study in food industry

In today’s modern and highly competitive world, the quality of products as well as the quality in maintenance is of great importance. For that, the involvement of customers is very necessary. To convert these customers’ vague languages into technical data, a tool called Quality Function Deployment (QFD) is available in Total Quality Management (TQM). But in order to have quality in maintenance, no such tools or techniques are not available in Total Productive Maintenance (TPM) model. So, a model called Maintenance Quality Function Deployment (MQFD) was developed by incorporating TQM with TPM. Model study was carried out in a food industry; especially in an ice cream industry and suggested action plans for the implementation process for the quality enhancement was done through this study. Details about the machineries involved in the making of the food have been collected and processed for TPM parameter calculations. In food industry the MQFD model is not implemented yet. So, a model study in the food industry is very much useful especially in an ice cream industry due to the fact that, it is one among the most consumed food product all over the world.

A fuzzy- rough set approach to determine weights in maintenance quality function deployment

A fuzzy- rough set approach to determine weights in maintenance quality function deployment

A hybrid fuzzy MCDM approach to maintenance Quality Function Deployment

Article history: Received March 14, 2014 Accepted August 10, 2014 Available online August 14 2014 Maintenance Quality Function Deployment (MQFD) is a model, which enhances the synergic power of Quality Function Deployment (QFD) and Total Productive Maintenance (TPM). One of the crucial and important steps during the implementation of MQFD is the determination of the importance or weightages of the critical factors (CF) and sub factors (SF). The CFs and SFs have to be compared precisely for the successful implementation of MQFD. The crisp pair-wise comparison in the conventional Analytical Hierarchy Process (AHP) may be insufficient to determine the degree of weightage of CFs and SFs where vagueness and uncetainties are associated. In this paper, a modification of AHP based MQFD by incorporating fuzzy operations is proposed, which can improve the accuracy of determination of the weightages. A case study showing the applicability of this method is illustrated in this paper. © 2015 Growing Science Ltd. All rights reserved.

Integration of QFD and AHP with TPM: an implementation study in an automotive accessories manufacturing company

This paper reports a research in which integration of quality function deployment (QFD) and analytic hierarchy process (AHP) with total productive maintenance (TPM) was investigated. In order to carry out this investigation, the implementation of a technique called analytic maintenance quality function deployment (AMQFD) was studied in an automotive accessories manufacturing company. In this direction, attempts were made to implement the 14 steps of AMQFD in this company. Since the management of this company was not enthusiastic about implementing AMQFD, all the 14 steps could not be completely implemented. Yet the experiences of conducting this implementation study have revealed the high practical propensity of AMQFD technique. This paper is concluded by claiming that implementation of AMQFD will enable the companies to perform at world class manufacturing (WCM) level.

Continuous maintenance quality improvement using analytic maintenance quality function deployment technique

This paper reports a module of research in which a model named analytic maintenance quality function deployment (AMQFD) was designed to integrate quality function deployment (QFD) and analytic hierarchy process (AHP) techniques with total productive maintenance (TPM) concepts. In order to explore its practical implementation feasibility, AMQFD was subjected to an implementation study in a sugar manufacturing company. Due to lack of literacy on TPM among employees and absence of support by the top management towards implementation, AMQFD could not be actually implemented in this company. Yet this implementation study was useful to evolve the steps to be actually followed in practice to implement AMQFD and achieve corporate success. This paper is concluded by suggesting that future researchers may actually carry out AMQFD implementation in several organisations and develop knowledge-based software packages to support its mathematical calculations.

From TPM to analytic maintenance quality function deployment: a literature journey via QFD and AHP

This paper concerns the exploitation of quality function deployment (QFD) technique in total productive maintenance (TPM) programme. In this direction, this paper points out the appearance of a technique called maintenance quality function deployment (MQFD) in literature arena. Though MQFD facilitates the integration of QFD and TPM, numerous actions evolved through it may not be applied by top management simultaneously and immediately. Hence these actions need to be ranked and prioritised. As MQFD is not incorporated with this facility, the need of integrating analytic hierarchy process (AHP) with it was realised. In this background, a literature journey involving the study of TPM, QFD, MQFD and AHP was carried out. The findings of this literature journey have been reported in this paper. Using these findings, a model called analytic maintenance quality function deployment (AMQFD) was evolved. The features of AMQFD and its implementation steps have been presented in this paper.

Synergising TPM and QFD: a case of electronic switch manufacturing

Total productive maintenance (TPM) has a lacuna in taking care of customers’ voice which can be overcome by integrating quality function deployment (QFD) principles. The integration gave rise to a model named maintenance quality function deployment (MQFD). In this research, the practical validity of MQFD has been tested in a switch-manufacturing unit. The customer voices have been used as the input for the house of quality (HoQ). The technical requirements and their relationships to voices were identified. Strategic decisions have been taken to distinguish the relevant outputs of HoQ which have to be passed through TPM and which have to be implemented with out the support of TPM. The output of TPM implementation has been analysed by the maintenance parameters like mean time between failures (MTBF), mean time to repair (MTTR), mean down time (MDT), availability, performance quality and overall equipment effectiveness (OEE).

Quality improvement in engineering education through the synergy of TPM and QFD

In line with the developments of quality revolution, educationalists have started to explore the sustainability of engineering education. In this paper, the method of applying 'Total Productive Maintenance' (TPM) in engineering education is appraised. Meanwhile some researchers have claimed that engineering education has failed to deliver the outputs expected by the customers. In this context, this paper highlights proposition to use Quality Function Deployment (QFD) for improving quality of engineering education. In order to reap the synergic power of QFD and TPM, a model named as 'Maintenance Quality Function Deployment' has been proposed and its receptivity has been explored.

MQFD and its receptivity analysis in an Indian electronic switches manufacturing company

One of the maintenance models that have witnessed wider application is Total Productive Maintenance (TPM). The majority of TPM principles have been developed by linking Total Quality Management (TQM) and maintenance engineering principles. In the field of TQM, Quality Function Deployment (QFD) is an ideal tool for translating customers' vague languages into technical specifications. On foreseeing the synergic impact of infusing QFD in TPM projects, a model called Maintenance Quality Function Deployment (MQFD) is proposed in this paper. MQFD links TPM and QFD principles. Its implementation feasibility was examined in a TQM- and TPM-cultured Indian electronic switches manufacturing company through questionnaire-supported feedback collection approach. The results of this study provided very important findings, which will direct the future researchers towards the successful implementation of MQFD and reaping the synergic effect of TPM and QFD.

Multicriteria decision making in Maintenance Quality Function Deployment through the Analytical Hierarchy Process

Quality Function Deployment (QFD) is a technique used in the Total Quality Management (TQM) field for converting customers' vague language into technical languages. Total Productive Maintenance (TPM) is an approach being followed to achieve quality in maintenance engineering activities. In order to nourish the synergic power of QFD and TPM, a model called Maintenance Quality Function Deployment (MQFD) has been developed. One of the hallmarks of MQFD implementation is the consideration of factors such as customers, technology, competitors, etc. If MQFD implementation is to be successful among organisations with heterogeneous cultures, their critical factors have to be compared thoroughly. The technique 'Analytic Hierarchy Process' (AHP) helps to achieve this task. AHP carry out pairwise comparison and sensitivity analysis of various critical factors and subfactors considered in MQFD projects. A sample application study of implementing AHP in MQFD programme in a maintenance-intensive Indian automobile service station was carried out. The details are illustrated in the subsequent sections of the article.

Integrating TPM and QFD for improving quality in maintenance engineering

PurposeTo provide maintenance engineering community with a model named “Maintenance quality function deployment” (MQFD) for nourishing the synergy of quality function deployment (QFD) and total productive maintenance (TPM) and enhancing maintenance quality of products and equipment.Design/methodology/approachThe principles of QFD and TPM were studied. MQFD model was designed by coupling these two principles. The practical implementation feasibility of MQFD model was checked in an automobile service station.FindingsBoth QFD and TPM are popular approaches and several benefits of implementing them have been reported worldwide. Yet the world has not nourished the synergic power of integrating them. The MQFD implementation study reported in this paper has revealed its practical validity.Research limitations/implicationsSince MQFD requires strategic decision making, the management commitment and support are required to test implement it. Since the case study was conducted in a public sector service station, this could not be achieved due to the requirement of following complex administrative procedures. However, the feasibility of obtaining customer voices from the practising community and translating them into technical languages has revealed the possibility of implementing MQFD in real time situations.Originality/valueBoth literature and manufacturing arenas were surveyed and found out that no model linking QFD and TPM has so far been brought out by theorists and practitioners. Hence the contribution of MQFD model is original. Since there are researches establishing the power of QFD and TPM, the essence of integrating them for attaining world class maintenance quality is of high value.

Customer voice adoption for maintenance quality improvement through MQFD and its receptivity analysis

This paper contributes a model called Maintenance Quality Function Deployment (MQFD), which has been developed by linking Total Productive Maintenance (TPM) and Quality Function Deployment (QFD) principles. The paper reports the results of literature and practical surveys to appraise the absence of any model linking TPM and QFD. Following this, the salient features of the MQFD model are presented. In the latter sections of the paper, the surveys aiming to check the receptivity to MQFD among different professionals are reported. The results of these surveys have been used to design a procedure for successfully implementing MQFD in organisations. The paper is concluded by claiming that the challenge of nourishing the benefits of MQFD is the new vista for future researchers.

MQFD: a model for synergising TPM and QFD

One of the strategies that have been subject to wide implementation and research is Total Productive Maintenance (TPM). TPM principles have been formulated by incorporating Total Quality Management (TQM) principles in maintenance quality engineering concepts. One of the TQM strategies that are missing in the TPM model is the infusing of customers' voice for effecting continuous maintenance quality improvement. While the TQM field has been attaining this strategy using the technique Quality Function Deployment (QFD), there has been no evidence of the TPM field's employing this technique. In order to obtain synergic effects of TPM and QFD principles, in this paper a model titled Maintenance Quality Function Deployment (MQFD) has been proposed. The paper examines the literature in the field, the results of which indicate the absence of any model linking QFD and TPM. The conceptual features of the MQFD model are presented, followed by an illustration of its implementation in a hypothetical company.