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Chandrasekharan Rajendran

Researcher at Indian Institute of Technology Madras

Publications -  197
Citations -  10083

Chandrasekharan Rajendran is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Job shop scheduling & Supply chain. The author has an hindex of 52, co-authored 192 publications receiving 9404 citations. Previous affiliations of Chandrasekharan Rajendran include Indian Institutes of Technology & VIT University.

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The relationship between service quality and customer satisfaction – a factor specific approach

TL;DR: In this paper, the authors view customer satisfaction as a multi-dimensional construct just as service quality and argue that customer satisfaction should be operationalized along the same factors (and the corresponding items) on which service quality is operationalized.
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Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs

TL;DR: A comparison of solutions yielded by the proposed ant-colony algorithms with the best heuristic solutions known for the benchmark problems, as published in an extensive study by Liu and Reeves is carried out.
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Determinants of customer‐perceived service quality: a confirmatory factor analysis approach

TL;DR: In this article, the authors proposed a comprehensive model and an instrument framework for measuring customer perceived service quality, which has been designed with specific reference to the banking sector and has been empirically tested for unidimensionality, reliability and construct validity using a confirmatory factor analysis approach.
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Customer perceptions of service quality: A critique

TL;DR: The SERVQUAL scale has been criticised by different authors for diverse reasons, such as the operationalization of expectations, the reliability and validity of the instrument's difference score formulation and the scale's dimensionality across disparate industrial settings as discussed by the authors.
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A holistic model for total quality service

TL;DR: In this paper, an instrument for measuring total quality service (TQS) with specific reference to the banking sector has been developed, which has been empirically tested for unidimensionality, reliability and construct validity using confirmatory factor analysis approach.