Design of experiments and Monte Carlo simulation-based prediction model for productivity improvement in printing industry
Year of publication: |
2022
|
---|---|
Authors: | Rane, Santosh B. ; Potdar, Prathamesh R. ; Mishra, Nandkumar |
Published in: |
International journal of productivity and quality management : IJPQM. - Olney, Bucks : Inderscience Enterprises, ISSN 1746-6482, ZDB-ID 2232968-7. - Vol. 35.2022, 1, p. 78-116
|
Subject: | cause and effect matrix | design of experiment | DMAIC | DOE | FMEA | Monte Carlo simulation | prediction model | Six Sigma | Qualitätsmanagement | Quality management | Monte-Carlo-Simulation | Prognoseverfahren | Forecasting model | Simulation | Druckindustrie | Printing industry | Produktgestaltung | Product design | Produktivität | Productivity |
-
A case study on FMEA-based quality improvement of packaging designs in the TFT-LCD industry
Liu, Shuo-Fang, (2016)
-
Productivity improvement in the stitching process : a Six Sigma case study of the footwear industry
Uprety, Indu, (2024)
-
Ganganallimath, Mahantesh M., (2019)
- More ...
-
Rane, Santosh B., (2021)
-
Rane, Santosh B., (2021)
-
Strategies for development of smart and green products using blockchain-IoT integrated architecture
Rane, Santosh B., (2023)
- More ...