Multi-step Functional Process Adjustments to Reduce No-fault-found Product Failures in Service Caused by In-tolerance Faults

Prakash, P.K.S.; Ceglarek, Darek

doi:10.1016/j.procir.2013.07.068

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first task is essential for the overall success of inspection planning, since all characteristics which are neglected might cause fatal damages to tools, personnel, products or customers and, on the contrary, unreasonable inspections cause inefficient test steps and increased process complexity. A common consequence of wrong characteristics identification in the planning phase is the occurrence of No-Fault-Found failures made visible during the use phase of the product [179,220,221]. These are in-tolerance failures due to unexplored interactions during the process/inspection planning phases, performed without taking into consideration process capability profiles.…”

Section: Inspection Planning In Multi-stage Systemsmentioning

confidence: 99%

Design and management of manufacturing systems for production quality

Colledani¹,

Tolio²,

Fischer³

et al. 2014

CIRP Annals

264

119

View full text Add to dashboard Cite

Section: Inspection Planning In Multi-stage Systemsmentioning

confidence: 99%

Design and management of manufacturing systems for production quality

Colledani¹,

Tolio²,

Fischer³

et al. 2014

CIRP Annals

264

119

View full text Add to dashboard Cite

“…Diagnosis and reactive recommendations (CAPA) is a well explored area (Ding et al, 2002;Nandi et al, 2005;Jung et al, 2006;Qian et al, 2008;Bennouna and Roux, 2013;Ruiz-Mezcua et al, 2011;Prakash and Ceglarek, 2013;Pal and Ceglarek, 2013;Pal et al, 2014). For this reason, the focus of the current review is prognosis and prognostic-based decision making.…”

Section: Review Of Cbm Methods and Techniquesmentioning

confidence: 99%

“…breakdown). We found out that these actions can involve either the implementation of a CAPA (Qian et al, 2008;Peng et al, 2010;Ruiz-Mezcua et al, 2011;Prakash and Ceglarek, 2013;Pal and Ceglarek, 2013;Pal et al, 2014) or a change in the maintenance strategy or schedule. On the other hand, proactive recommendations are based on predictions about an undesired event (e.g.…”

Section: Proactive Decision Making Framework For Cbmmentioning

confidence: 95%

A proactive decision making framework for condition-based maintenance

Bousdekis

Magoutas

Apostolou

et al. 2015

Industrial Management &Amp; Data Systems

View full text Add to dashboard Cite

Purpose – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. Design/methodology/approach – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed. Findings – In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified. Practical implications – The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required. Originality/value – The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

show abstract