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Article
Publication date: 9 March 2012

Annibal Parracho Sant'Anna

The purpose of this paper is to propose a method, derived from numerical evaluations on the criteria of security, frequency and detectability, of Failure Modes and Effects…

Abstract

Purpose

The purpose of this paper is to propose a method, derived from numerical evaluations on the criteria of security, frequency and detectability, of Failure Modes and Effects Analysis (FMEA), a probabilistic priority measure for potential failures; and to evaluate the use of this method when combined with subjective evaluations to decide on improvement actions.

Design/methodology/approach

The method proposed is based on treating the numerical initial measurements as estimates of location parameters of probability distributions. This allows for objectively taking into account the uncertainty inherent in such measurements and to compute probabilities of each potential failure being the most important according to each criterion. These probabilities are then combined into a global quality measure, which can be interpreted as a joint probability of choice of the potential failure.

Findings

The results obtained in the cases studied show the suitability of the changes proposed. Thresholds levels proposed for the discretization of the probabilistic scores are also shown to be able to allow for an efficient combination with experts' evaluations.

Research limitations/implications

The approach here developed allows for the introduction of statistical parameters in the first stage of FMEA modeling. Employing a more complete model leads to greater reliability of the methodology.

Practical implications

The more precise modeling asks for a certain degree of practical knowledge of the factors effectively introducing variability in the measurements. This need may be surpassed by the choice of distributions such as those here employed.

Originality/value

The evaluation of the potential failures by the probability of being the most important, according to each criterion, is new in FMEA.

Details

International Journal of Quality & Reliability Management, vol. 29 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 3 December 2020

Rishi Dwesar and Debajani Sahoo

Increased global air travel and competition in the airline industry entail better service delivery and failure management. This study examines how airline type, failure

Abstract

Purpose

Increased global air travel and competition in the airline industry entail better service delivery and failure management. This study examines how airline type, failure criticality and the traveller's culture influence travellers' airline evaluations of service failure.

Design/methodology/approach

The study uses a large data set of customers' online reviews and incorporates quantitative and qualitative feedback from 20 major airlines across the world. Semantic tagging, sentiment and multivariate analyses have been used to analyse the data.

Findings

Failure criticality and travellers' cultural backgrounds significantly affect airline evaluations after service failures. Moreover, failure criticality influences evaluations of travellers from individualistic cultures more severely. Contrary to expectations, full-service airlines were evaluated positively after less critical service failures.

Practical implications

The findings support that customers undergo different emotional states when they experience service failure. Understanding these internal emotional sensitivities and how services would be judged by travellers across cultures can help airlines to better manage their service recovery efforts and to strategise prioritisation of scarce resources.

Originality/value

Though airline service failure has been well researched, this study examines the role of culture in service failure evaluations. The study uses a novel method to analyse a large data set of both quantitative and qualitative traveller feedback useful in service recovery management.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 17 August 2012

Yueheng Qiu, Weiguo Zhang, Xiaoxiong Liu and Pengxuan Zhao

The purpose of this paper is to present the research into fault detection and isolation (FDI) and evaluation of the reduction of performance after failures occurred in the…

Abstract

Purpose

The purpose of this paper is to present the research into fault detection and isolation (FDI) and evaluation of the reduction of performance after failures occurred in the flight control system (FCS) during its mission operation.

Design/methodology/approach

The FDI is accomplished via using the multiple models scheme which is developed based on the Extend Kalman Filter (EKF) algorithm. Towards this objective, the healthy mode of the FCS under different type of failures, including the control surfaces and structural, should be considered. It developed a bank of extended multiple models adaptive estimation (EMMAE) to detect and isolate the above mentioned failures in the FCS. In addition, the performances including the flight envelope, the voyage and endurance in cruising are proposed to reference and evaluate the process of mission, especially for UAV under failure conditions.

Findings

The contribution of this paper is to provide the information not only about the failures, but also considering whether the UAV can accomplish the task for the ground station.

Originality/value

The main contribution of this paper is in the areas of the structural and control surface faults researching, which are occurred in the mission procedures and emphasized the identification of those failures' magnitudes. The FDI scheme includes the performance evaluation, while the evaluation obtained through the extensive numerical simulations and saved in the offline database. As a consequence, it is more accurate and less computationally demanding while evaluating the performance.

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Article
Publication date: 3 October 2016

Mario Perhinschi, Dia Al Azzawi, Hever Moncayo, Andres Perez and Adil Togayev

This paper aims to present the development of prediction models for aircraft actuator failure impact on flight envelope within the artificial immune system (AIS) paradigm.

Abstract

Purpose

This paper aims to present the development of prediction models for aircraft actuator failure impact on flight envelope within the artificial immune system (AIS) paradigm.

Design/methodology/approach

Simplified algorithms are developed for estimating ranges of flight envelope-relevant variables using an AIS in conjunction with the hierarchical multi-self strategy. The AIS is a new computational paradigm mimicking mechanisms of its biological counterpart for health management of complex systems. The hierarchical multi-self strategy consists of building the AIS as a collection of low-dimensional projections replacing the hyperspace of the self to avoid numerical and conceptual issues related to the high dimensionality of the problem.

Findings

The proposed methodology demonstrates the capability of the AIS to not only detect and identify abnormal conditions (ACs) of the aircraft subsystem but also evaluate their impact and consequences.

Research limitations/implications

The prediction of altered ranges of relevant variables at post-failure conditions requires failure-specific algorithms to correlate with the characteristics and dimensionality of self-projections. Future investigations are expected to expand the types of subsystems that are affected and the nature of the ACs targeted.

Practical implications

It is expected that the proposed methodology will facilitate the design of on-board augmentation systems to increase aircraft survivability and improve operation safety.

Originality/value

The AIS paradigm is extended to AC evaluation as part of an integrated and comprehensive health management process system, also including AC detection, identification and accommodation.

Details

Aircraft Engineering and Aerospace Technology, vol. 88 no. 6
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 1 June 2003

Marcello Braglia, Marco Frosolini and Roberto Montanari

This paper presents a tool for reliability and failure mode analysis based on an advanced version of the popular failure mode, effects and criticality analysis (FMECA…

Abstract

This paper presents a tool for reliability and failure mode analysis based on an advanced version of the popular failure mode, effects and criticality analysis (FMECA) procedure. To help the analyst formulating efficiently effective criticality assessments of the possible causes of failure, the fuzzy logic technique is adopted. Particular attention has been devoted to support the maintenance staff with a fuzzy criticality assessment model easy to implement and design. To test the proposed methodology, an actual application concerning a process plant in milling field for human consumption flour is showed in the paper.

Details

International Journal of Quality & Reliability Management, vol. 20 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

Content available
Article
Publication date: 5 December 2016

Yeon-Hak Kim, Sun-Woong Park and Yeong-Wha Sawng

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and…

Abstract

Purpose

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and failure cases of the Company.

Design/methodology/approach

The proposed research framework is as follows: first, prospective studies of the NPD process are performed using the existing literature and preliminary references; second, comparative analysis between the current processes and a NPD process is performed; third, phase-based evaluations upon failed product cases are conducted with a NPD process so as to identify the abridged steps and root-causes of failures; finally, renewed priorities are set forth by utilizing the analytic hierarchy process analysis and questionnaire analysis upon the above identified causes of failures.

Findings

The resulting accomplishments include the establishment of NPD processes that resonates with the current states of Company “T”, which, in turn, ensures the increase of efficiency, the decrease in development duration and the strategy of capacity-concentration and priority-selection.

Originality/value

As Company “T”’s development process is outdated and products are developed without adequate market information research and feasibility analysis, the percentage of failed development project is as high as 87 per cent. Thus, this study aims to develop an appropriate NPD process of Company “T” by analyzing the existing NPD process and failure cases of the Company.

Details

Asia Pacific Journal of Innovation and Entrepreneurship, vol. 10 no. 1
Type: Research Article
ISSN: 2071-1395

Keywords

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Article
Publication date: 8 June 2021

Sanya Ojo

This study aims to discover how ethnic entrepreneurs actually understand the performance of their business through clarification of key indicators they use in evaluating…

Abstract

Purpose

This study aims to discover how ethnic entrepreneurs actually understand the performance of their business through clarification of key indicators they use in evaluating business success and failure.

Design/methodology/approach

The attribution of success and failure in business was investigated through in-depth interviews, bolstered by the self-determination theory, with some UK’s Black African entrepreneurs.

Findings

Findings suggest that ethnic entrepreneurs’ attribution of success and failure is not only subjectively constructed but also enacted through cultural symbolism. The combination of cultural and personal values provoked attitudinal idiosyncrasy that construes business failure as success.

Originality/value

The result offers valuable knowledge to academics/practitioners researching success and failure factors in the ethnic entrepreneurship field.

Details

Society and Business Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5680

Keywords

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Article
Publication date: 17 March 2021

Samaneh Zolfaghari and Seyed Meysam Mousavi

The healthcare system is regarded as one of the most critical service industries. The surgical unit is the heart of hospitals in that any failures directly affect the…

Abstract

Purpose

The healthcare system is regarded as one of the most critical service industries. The surgical unit is the heart of hospitals in that any failures directly affect the safety of patients, so they should be managed thoroughly. It is an intricate multi-attributes decision-making problem with uncertainty. Uncertain information in the form of fuzzy sets theory has been applied widely to describe the different aspects of system uncertainty. This study aims to present a new methodology to manage the healthcare system failures due to the multi-attributes decision-making process.

Design/methodology/approach

This study introduces a new risk evaluation methodology by failure mode and effect analysis (FMEA) and MULTIMOORA method. Group decision-making process in this methodology is presented under uncertain information in the form of interval-valued hesitant fuzzy linguistic sets (IVHFLSs). IVHFLSs encompass both qualitative and quantitative interpretation of experts to reflect their preferences, as well the ability and flexibility of derivation of linguistic information by several linguistic terms increase. To avoid the different ranking order of MULTIMOORA approaches, a new interval multi-approaches multi-attribute methodology, namely, technique of precise order preference (TPOP), is extended to provide precise ranking order.

Findings

The application and precision of proposed integrated IVHFL-MULTIMOORA methodology with TPOP is examined in a case study of healthcare systems. The results indicate the superiority of proposed methodology to prioritize and assess the failures as well as handling system uncertainty.

Originality/value

This study addresses the challenges of an organization to prioritize potential failures by implementing FMEA method. Moreover, this paper contributes to making the manager's ability in decision-making. The value of this study can be discussed in two aspects. First and foremost, this study provides a new FMEA-based methodology to rank failures precisely. The results prove that the proposed methodology is more robust to changes of different ranking order methods, applied by FMEA. On the other hand, using the capability of IVHFLSs allows collecting accurate information in an ambiguous and uncertain environment.

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Article
Publication date: 10 June 2019

Yllka Azemi, Wilson Ozuem and Geoff Lancaster

Despite scholarly effort to understand customers’ recovery evaluation, little progress is evident in deciphering how customers develop online failure/recovery perception…

Abstract

Purpose

Despite scholarly effort to understand customers’ recovery evaluation, little progress is evident in deciphering how customers develop online failure/recovery perception. This paper aims to address this issue.

Design/methodology/approach

Social constructivism was the epistemic choice for this study. This approach is holistic and offers a comprehensive understanding of each side of the phenomena. This provided social scientific descriptions of people and their cultural bases and built on, and articulated what was implicit in interpretations of their views.

Findings

Online banking customer groups were identified as: exigent customers, solutionist customers and impulsive customers. Customers’ position in each group determined failure perception, recovery expectation and evaluation, and post-recovery behaviour. Comparisons were observed and discussed in relation to Albania and Kosovo. It was suggested that banks should expand their presence in social media platforms and offer a means to manage online customer communication and spread of online WOM.

Research limitations/implications

For exigent customers, the failure/recovery responsibility is embedded within the provider. This explains their high sensitivity and criteria to define a failure.

Practical implications

Online banking customers’ request of a satisfactory recovery experience included: customer notifications, customer behaviour, customer determination, and the mediator of request. 10;Providers should examine customer failure/recovery experiences in cooperation with other banks which should lead to a higher order understanding of customer withdrawal and disengagement activities.

Social implications

Post-recovery behaviour is linked to the decline of online banking usage, switching to new providers, and the spread of negative online and off-line word-of-mouth.

Originality/value

This is the first empirical study on online service failure and recovery strategy to provide information on customers’ unique preferences and expectations in the recovery process. Online customers are organised into a threefold customer typology, and explanation for the providers’ role in the online customer failure-recovery perception construct is presented.

Details

Qualitative Market Research: An International Journal, vol. 22 no. 3
Type: Research Article
ISSN: 1352-2752

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Article
Publication date: 24 April 2020

Muhittin Sagnak, Yigit Kazancoglu, Yesim Deniz Ozkan Ozen and Jose Arturo Garza-Reyes

The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment…

Abstract

Purpose

The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation.

Design/methodology/approach

Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts.

Findings

The results are very much in line with prospect theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure and operator failure, respectively.

Originality/value

The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

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