About this document
Assembly Line Balancing via Largest Candidate Rule by Kenan Muhamedagic is a document available to read on EtoBox.
This document summarizes an experimental study on improving assembly line balancing for an automotive lighting industry using the Largest Candidate Rule algorithm. The study aims to reduce non-value-added activities, cycle time, and balance workload across stations. It involves calculating cycle times, identifying non-value-added activities, and distributing workload optimally across stations. The methodology adopted is expected to improve production line efficiency.
- Author
- Kenan Muhamedagic
- Language
- EN