Proposing a Design Science Research Framework for Developing Lean Six Sigma Solutions in the Service Sector

While Lean Six Sigma has proven effective in improving manufacturing processes, its application in the service sector faces more challenges due to the unique characteristics of service processes. The intangible nature of services, simultaneous production and consumption, and heterogeneity of demand make it difficult to fully replicate the Lean Six Sigma approach used in manufacturing. Operational excellence tools like Lean Six Sigma can significantly benefit the service sector by improving efficiency, quality, and customer satisfaction. However, as per the authors' knowledge, there is no comprehensive framework to guide the development of Lean Six Sigma solutions tailored for the service sector. Design science research is proposed as an approach to address this gap. The proposed design science research framework has the potential to fill current gaps by guiding the contextualization, itera-tive design, and evaluation of Lean Six Sigma solutions for the service sector. The framework incorporates problem investigation through literature review to identify gaps and challenges specific to service processes. Iterative solution design allows for incorpo-rating feedback and improving solutions to address the unique needs of service customers. Rigorous evaluation demonstrates the effectiveness and utility of the proposed solutions. The framework's applicability and effectiveness will be assessed qualitatively with Lean Six Sigma experts in the service field through semi-structured interviews to evaluate its potential in developing Lean Six Sigma solutions that specifically address the challenges of service processes and realize the potential benefits.

Authors

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.21872/2024iise_7186
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proposing a Design Science Research Framework for Developing Lean Six Sigma Solutions in the Service Sector

Mariam Ramadan, Ravindra S. Goonetilleke, Mecit Can Emre Simsekler, Jiju Antony
Quality and Supply Management
article

Proposing a Design Science Research Framework for Developing Lean Six Sigma Solutions in the Service Sector

Mariam Ramadan, Ravindra S. Goonetilleke, Mecit Can Emre Simsekler, Jiju Antony
article en

Abstract

While Lean Six Sigma has proven effective in improving manufacturing processes, its application in the service sector faces more challenges due to the unique characteristics of service processes. The intangible nature of services, simultaneous production and consumption, and heterogeneity of demand make it difficult to fully replicate the Lean Six Sigma approach used in manufacturing. Operational excellence tools like Lean Six Sigma can significantly benefit the service sector by improving efficiency, quality, and customer satisfaction. However, as per the authors' knowledge, there is no comprehensive framework to guide the development of Lean Six Sigma solutions tailored for the service sector. Design science research is proposed as an approach to address this gap. The proposed design science research framework has the potential to fill current gaps by guiding the contextualization, itera-tive design, and evaluation of Lean Six Sigma solutions for the service sector. The framework incorporates problem investigation through literature review to identify gaps and challenges specific to service processes. Iterative solution design allows for incorpo-rating feedback and improving solutions to address the unique needs of service customers. Rigorous evaluation demonstrates the effectiveness and utility of the proposed solutions. The framework's applicability and effectiveness will be assessed qualitatively with Lean Six Sigma experts in the service field through semi-structured interviews to evaluate its potential in developing Lean Six Sigma solutions that specifically address the challenges of service processes and realize the potential benefits.

Openalex Percentile: Top 49%
Quality and Supply Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.