Application of Lean Six Sigma in IT support services – a case study

E.V., G and Antony, J and Sunder M, V (2019) Application of Lean Six Sigma in IT support services – a case study. The TQM Journal, 31 (3). pp. 417-435. ISSN 1754-2731

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Abstract

Purpose
Lean Six Sigma (LSS) has been accepted globally across the service sector as a management strategy for achieving process excellence. In the past one decade, the application and success of LSS in services is remarkable across Information Technology (IT) organisations. However academic research has seldom derived implications from this practitioner’s science of improving processes. The purpose of this paper is to feature the application of LSS in the system maintenance department of a manufacturing firm.
Design/methodology/approach
The research reported in this paper is based on a case study carried out in system maintenance department using the Six Sigma Define-Measure-Analyse-Improve-Control (DMAIC) approach and its application in reducing complaint resolution time.
Findings
The LSS article presented here highlights a real-world case study of how LSS DMAIC methodology help reduce the complaint resolution time from 12.5 to 8.5 h (~30 per cent improvement) and the corresponding standard deviation from 28 to 17.4 days. This study also has resulted in reducing the turn-around-time of all the core processes in the organisation. The indirect financial savings estimated as a result of this overall impact was around INR2.5m.
Research limitations/implications
The research was restricted to studying the impact of LSS in one organisation. The validity of the results can be improved by including more organisations and more case studies from the IT support services.
Originality/value
This could serve as a resource for both practitioners to derive useful implications and to academicians as it contributes to the LSS body of knowledge towards theory testing.

Item Type: Article
Additional Information: The research article was published by the author with the affiliation of IIT Madras
Subjects: Operations Management
Date Deposited: 04 Sep 2023 19:00
Last Modified: 04 Sep 2023 19:00
URI: https://eprints.exchange.isb.edu/id/eprint/2070

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