Skip to main navigation
Skip to search
Skip to main content
Montclair State University Home
Help & FAQ
Link opens in a new tab
Search content at Montclair State University
Home
Profiles
Research units
Core Facilities
Grants/Projects
Research output
Prizes
Press/Media
Assessment of manufacturing lead time using neural network analysis
Evrim Yuzgec
, Azmi Alazzam
, Nagendra Nagarur
Information Management and Business Analytics
Research output
:
Contribution to conference
›
Paper
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Assessment of manufacturing lead time using neural network analysis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Manufacturing Lead Time
100%
Neural Network Analysis
100%
Neural Network Model
50%
Output Parameters
50%
Downtime
33%
Key Performance Indicators
33%
Firm Performance
16%
Working Hours
16%
Simulated Annealing
16%
Overall Efficiency
16%
Product Efficiency
16%
Best Level
16%
Quality Rate
16%
Engineering
Lead Time
100%
Electric Network Analysis
100%
Network Model
50%
Output Parameter
50%
Key Performance Indicator
33%
Start Model
16%
Objective Function
16%