A hybrid PCA-AHP-Multi-grade Fuzzy approach to assess marketing-based flexibility

Mishra, Ruchi; Mishra, Onkar Nath

doi:10.1108/mip-07-2017-0144

Cited by 14 publications

(16 citation statements)

References 44 publications

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“…We propose an integration of both methods to run an experimental comparison of the outcomes of local competitiveness modelling. Examples of PCA-AHP hybrids are found in operations research literature or project appraisal studies (see Feng and Wen 2011;Hoang et al 2018;Lee et al 2010;Mishra and Mishra 2018). In addition, Zhou et al (2018) and Li et al (2018) argue that the combination of the PCA-AHP methods can be optimal to eliminate the risk of dispertions in the AHP weighting system regarding the expert's judgements (Saaty and Vargas 2007).…”

Section: Integration Of the Pca And Ahp Methodsmentioning

confidence: 99%

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

et al. 2021

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This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a significant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed method examination of whether the methods can be used interchangeably is presented and illustrated with detailed examples of two mixed approaches. The mixed method confirms the correlation between the PCA and AHP models. However, the mixed modelling results indicate the utility of the PCA in the situation of a multicriteria local competitiveness data examination.

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Section: Integration Of the Pca And Ahp Methodsmentioning

confidence: 99%

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

et al. 2021

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“…The multi-grade fuzzy approach is extensively applied in manufacturing and service sectors for assessment of leanness, agility, marketing flexibility, safety practice level and service level [1,12,21,24,[27][28][29][30][31][32]. The current study utilises multi-grade fuzzy to assess the efficiency of the work-from-home model among software professionals.…”

Section: Multi-grade Fuzzymentioning

confidence: 99%

Multi-grade fuzzy assessment framework for software professionals in work-from-home mode during and post-COVID-19 era

Suresh

Gopakumar

2021

Futur Bus J

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The pandemic novel Coronavirus disease and the resulting lockdowns have contributed to major economic disturbances around the world, forcing organisations to extend the work-from-home (WFH) option to their employees wherever feasible. The current major challenge of this option is maintaining the efficiency and productivity of the employees across the organisations. It is therefore important to understand the impact of this make-shift arrangement of WFH policy and their underlying effects that may affect the efficiency of employees and hence their output levels. This is a distinctive approach to develop a unique framework for efficiency index computation by evaluating the efficiency levels of WFH mode in software organisations using multi-grade fuzzy approach and importance–performance analysis. In turn, this would help to determine the crucial attributes that require improvement to increase the efficiency levels of employees concerned. In this study, a case project has been assessed and it was observed that the efficiency index of WFH accounts to 4.92, which is in between the range of (4.01–6) specified as ‘Efficient’. The framework can be used on a periodic basis to help software organisations to continuously improve their WFH efficiency level.

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“…In recent years multi-grade fuzzy approach has been widely used in various fields in the literature particularly in operations management field (Almutairi et al, 2019;Mishra and Mishra, 2018). For example, Kalyan et al, (2019) developed an index to measure industrial symbiosis of a tire-manufacturing organisation using multi-grade fuzzy approach.…”

Section: Multi-grade Fuzzy Logicmentioning

confidence: 99%

Product-service system leanness assessment model: study of a UK manufacturing company

Elnadi

Shehab

2021

IJLSS

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Purpose Numerous leanness assessment models were developed for both manufacturing and service sectors. However, little research effort was made to provide an instrument that can be used to measure the leanness level of the product-service system (PSS). This paper aims to propose an index to assess the leanness of PSS in a UK manufacturing company. Design/methodology/approach The development of the assessment model was carried out through an iterative process. Commencing from existing literature on lean manufacturing assessment and lean service assessment, the initial model for assessing PSS leanness was developed. This initial model was refined via two consecutive phases. The first one includes semi-structured interviews with academic researchers involved in lean projects where their comments were considered. In the second phase, semi-structured interviews with several experts working in different UK manufacturing industries and involved in lean and continuous improvement projects were conducted to reach the final assessment model. After developing the model, the next step was identifying a suitable company for applying the model. The case company was selected because of its commitment to implement lean practices and its ability to participate in this study. After that, data was collected from the case company and the PSS leanness index was calculated using a multi-grade fuzzy approach. Finally, areas for further improvement were identified and the results obtained were validated. Findings The PSS leanness index computed for the case company indicates that the service offering process provided by the company is generally lean. Areas for further improvement were identified. Research limitations/implications This study focussed on a single case company and is based on the experts’ opinions; this may tend to be biased. However, future studies will be performed to multiple-case studies to enhance findings and more empirical research will be conducted to catch more insights into PSS leanness. Practical implications This paper provides guidelines to manufacturing companies’ managers for measuring the PSS leanness index and planning for the future. This index gives information regarding the degree of lean adoption in the service offering process and identifying the gap between the current PSS leanness level and the desired state. Originality/value The proposed model has been developed by the opinion of academicians and industry experts. The proposed model can provide guidelines and directions for managers for PSS leanness assessment.

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A hybrid PCA-AHP-Multi-grade Fuzzy approach to assess marketing-based flexibility

Cited by 14 publications

References 44 publications

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Multi-grade fuzzy assessment framework for software professionals in work-from-home mode during and post-COVID-19 era

Product-service system leanness assessment model: study of a UK manufacturing company

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