A neural network approach for predicting manufacturing performance using knowledge management metrics
This paper aims to devise a model for predicting the knowledge management (KM) effect on manufacturing performance via neural network (NN). This is the first empirical study that applies NN to forecast manufacturing performance using 48 KM metrics which cover knowledge resources, KM processes, and K...
Main Authors: | Tan, L. P., Wong, K. Y. |
---|---|
Format: | Article |
Published: |
Taylor and Francis Inc.
2017
|
Subjects: |
Similar Items
-
Linkage between knowledge management and manufacturing performance: a structural equation modeling approach
by: Li, Pin Tan, et al.
Published: (2015) -
Knowledge management performance measurement: measures, approaches, trends and future directions
by: Wong, Kuan Yew, et al.
Published: (2015) -
Sustainability metrics and a hybrid decision-making model for selecting lean manufacturing tools
by: Al-Allaj, Ali Jaber Naeemah, et al.
Published: (2023) -
Artificial Neural Network Performance Modeling and Evaluation of Additive Manufacturing 3D Printed Parts
by: Subramonian, Sivarao, et al.
Published: (2023) -
Lean performance evaluation of manufacturing systems: A dynamic and innovative approach
by: Behrouzi, Farzad, et al.
Published: (2011)