... variables. Continuous improvement Failure mode and effect analysis Fuzzy logic Shannon's entropy Copeland's method Companies are required to minimize the level of waste, preserve the quality-low price ratio, accelerate manufacturing the process and trim the product lines to foster core...

... a summary of previous studies on maintenance policy selection. Table I Literature summary Bibliography information Considered criteria Considered policies Applied model No. Author Year Cost Risk Added-value Other CM TBM CBM SM MCDM Fuzzy logic Integrated models...

... ; John, 2012 ; Reddy et al., 1998), gray relational analysis (Saha and Mandal, 2013), data envelopment method (Liao, 2004 ; Liao and Chen, 2002), mean square criteria (Koksoy and Yalcinoz, 2006 ; John et al., 2017), neural networks (Hsu, 2004), etc. In this study, the fuzzy logic...

... for LESIRE, which is essential for the organization embarking on an LSS journey. Further, it improves the readiness of the organization that is already practicing LSS. The literature has been reviewed from the perspective of CI practices and their assessment using fuzzy logic. Taking above issues...

... the maintenance cost. Originality/value The results presented in this paper are reliable, objective may be used to minimize the total cost of conducting preventive maintenance in a manufacturing environment. Manufacturing Maintenance Fuzzy logic Manufacturing strategy find the smallest...

...Abhijeet Ghadge; Xie Fang; Samir Dani; Jiju Antony Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process...

... POD with quantitative data from PDM instead of purely relying on expert's opinion. © Emerald Group Publishing Limited 2011 Fuzzy logic Maintenance reliability Risk analysis The PDM data are collected and recorded quantitatively using different gadgets, like vibration recorders...

... control Fuzzy logic Neural nets Algorithmic languages Manufacturing systems Reliability engineering has attracted many researchers due to their importance in variety of systems (Kumar, 1991 ; Adamyan and David, 2002 ; Aneziris and Papazoglou, 2004). A considerable amount of work has been...

... approach is used to prioritize the failure modes present in the process industry with use of a case study. Hazards Failure modes and effects analysis Fuzzy logic Petrochemicals industry M. Ilangkumaran can be contacted at: kumaranila@rediffmail.com © Emerald Group Publishing Limited...

... on crisp numbers. Performance management Service industries Fuzzy logic Modelling Analytic hierarchy process (AHP), a multiple criteria decision‐making tool, uses an eigenvalue approach to obtain the pair‐wise comparisons (Saaty, 1980). A scale range from 1/9 for “least valued than”, to 1...

... service quality by comparing what they want or expect with what they perceive they are getting. © Emerald Group Publishing Limited 2009 Customer services quality Airlines Fuzzy logic Iran Few airlines have been able over the years to establish a reputation of high service quality...

... Group Publishing Limited 2007 Failure modes and effects analysis Fuzzy logic Modelling In today's turbulent business environment global competition characterised by both a technology push and a market pull had forced organisations to compete on various platforms such as faster...

... (Vogt and Fesenmaier, 1995 ; Tzeng et al., 2002). Service quality assurance Fuzzy logic Value analysis © Emerald Group Publishing Limited 2006 Let the set of linguistic terms be S_c={VL,L,M,H,VH...

... information about the process is avoided. Originality/value The results from the study provide valuable baseline information for future research investigating how safety of oil platforms is affected by some factors. © Emerald Group Publishing Limited 2006 Fuzzy logic Oil industry Health...

.... Fuzzy logic is employed to transform the human expertise into IF‐THEN rules. Design/methodology/approach The approach has the advantage of revealing semantic uncertainty with the associated non‐specifying measures. The methodology applied tracks the error values in terms of results in linguistic...

... fuzzy logic is proposed. In the proposed approach, these parameters are represented as members of a fuzzy set fuzzified by using appropriate membership functions and are evaluated in fuzzy inference engine, which makes use of well‐defined rule base and fuzzy logic operations to determine the criticality...

...E.P. Zafiropoulos; E.N. Dialynas Purpose The paper presents an efficient methodology that was developed for the reliability prediction and the failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic. Design/methodology/approach The reliability prediction...

... the imprecise nature of these judgements and to define more appropriately the relationship between EC and CA. This paper proposes fuzzy logic‐quality function deployment (FL‐QFD) – the use of fuzzy logic principles in QFD. It is an innovative method of determining optimum rating of ECs by simulating the QFD...

... Costing and Value Engineering, Productivity Press, New York, NY, 1997) has been modified and tools such as QFD and VE have been incorporated in the model. Due to inherent uncertainties in the associated cost of various elements, the model has been further strengthened with the use of fuzzy logic...

..., and a fuzzy‐logic‐based synthesis incorporating the Dempster‐Shafer approach for making multiple attribute decision. Three illustrative examples are used to demonstrate the novel tools, together with the discussion on the conditions under which each approach may be applied effectively. Finally...