Publication Type:

Conference Paper

Source:

2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, Institute of Electrical and Electronics Engineers Inc. (2017)

ISBN:

9781509006113

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019994478&doi=10.1109%2fICCIC.2016.7919662&partnerID=40&md5=fe4af808235d7ddfdfe37f7847d6d02a

Keywords:

Artificial intelligence, Commerce, Competitive edges, Concrete mixtures, Customer satisfaction, Customers' satisfaction, Interpretive structural modeling, lean, MICMAC analysis, Service industries, Super markets, Tools and practices

Abstract:

Lean service is more important as it is a concrete mixture of tools and practices which when applied according to the situations faced that would certainly improvise the same ensuring the generation of financial and economic outcomes. Due to its evolution, lean is being implemented in service industries for attaining a competitive edge as well as high customers' satisfaction. There is a current necessity in service industries to improve the level of services being offered to the customers. This research work extensively focusses on developing a framework for identifying and analyzing the main factors involved in the practices of lean in Super Market services through the deployment of Interpretive Structural Modeling (ISM) framework. © 2016 IEEE.

Notes:

cited By 0; Conference of 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 ; Conference Date: 15 December 2016 Through 17 December 2016; Conference Code:127661

Cite this Research Publication

V. Vignesh and Dr. Suresh M., “Factors influencing lean practices in Super market services using interpretive structural modeling”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.

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