Integration of Industry 4.0 technologies into Lean Six Sigma DMAIC: A systematic review
T Pongboonchai-Empl, J Antony… - … Planning & Control, 2023 - Taylor & Francis
This review examines which Industry 4.0 (I4. 0) technologies are suitable for improving Lean
Six Sigma (LSS) tasks and the benefits of integrating these technologies into improvement …
Six Sigma (LSS) tasks and the benefits of integrating these technologies into improvement …
The integrated effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the environmental performance of manufacturing companies: The case of …
With the advent of Big Data Analytics (BDA) alongside the maturity of specific improvement
approaches such as Lean Six Sigma (LSS) and Green Manufacturing (GM), the integration …
approaches such as Lean Six Sigma (LSS) and Green Manufacturing (GM), the integration …
Industry 4.0 and Six Sigma: a systematic review of the literature and research agenda proposal
DRP Maia, FL Lizarelli, LDN Gambi - Benchmarking: An International …, 2024 - emerald.com
Purpose There is increasing interest in the connection between Industry 4.0 (I4. 0) and
operational excellence approaches; however, studies on the integration between Six Sigma …
operational excellence approaches; however, studies on the integration between Six Sigma …
Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0
SB Rane, YAM Narvel - Benchmarking: An International Journal, 2021 - emerald.com
Purpose Blockchain and Internet of Things (IoT) technologies have recently gained much
attention for Industry 4.0. With the emergence of disruptive technologies, it has become …
attention for Industry 4.0. With the emergence of disruptive technologies, it has become …
Fast track surgery for knee replacement surgery: a lean six sigma approach
C Ricciardi, G Balato, M Romano, I Santalucia… - The TQM …, 2020 - emerald.com
Purpose The reduction of costs has a more and more relevant role in the healthcare context,
therefore, a large effort is done by health providers to this aim, for example, by reducing the …
therefore, a large effort is done by health providers to this aim, for example, by reducing the …
Impact of social and technical lean management on operational performance in manufacturing SMEs: the roles of process and management innovations
AB Abdallah, RZ Alkhaldi, MM Aljuaid - … Process Management Journal, 2021 - emerald.com
Purpose The purpose of the current study is to address a debatable issue in the extant
literature regarding lean management (LM), innovation and operational performance (OP) …
literature regarding lean management (LM), innovation and operational performance (OP) …
Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era
Purpose The study presents various barriers to adopt big data analytics (BDA) for
sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) …
sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) …
The application of six sigma to reduce the pre-operative length of hospital stay at the hospital Antonio Cardarelli
G Improta, C Ricciardi, A Borrelli… - International Journal of …, 2020 - emerald.com
Purpose The best treatment for femur fractures is the surgical one within 48 h from the
admission to the hospital. These fractures have serious consequences, both in terms of …
admission to the hospital. These fractures have serious consequences, both in terms of …
Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry
In today's era of digitalization and competitive market environment, organizations are more
focused on manufacturing quality products at optimum cost to capture maximum business as …
focused on manufacturing quality products at optimum cost to capture maximum business as …
A business analytics approach to augment six sigma problem solving: A biopharmaceutical manufacturing case study
W Fahey, P Jeffers, P Carroll - Computers in Industry, 2020 - Elsevier
Biopharmaceutical manufacturers are required to collect extensive observational data sets
in order to meet regulatory and process quality monitoring requirements. These datasets …
in order to meet regulatory and process quality monitoring requirements. These datasets …