Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
This paper is a consequence of a job in a business devoted to mechanical manufacturing (machining base product). During the entire manufacturing cycle, several wastes could be detected using a lean manufacturing approach by Value Stream Mapping (VSM). This paper proposes the techniques that are used...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
2019
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/24552/2/B11270982S1119.PDF http://eprints.utem.edu.my/id/eprint/24552/ https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B11270982S1119.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This paper is a consequence of a job in a business devoted to mechanical manufacturing (machining base product). During the entire manufacturing cycle, several wastes could be detected using a lean manufacturing approach by Value Stream Mapping (VSM). This paper proposes the techniques that are used to show the improvements to be achieved with each of the lean tools suggested. This work is primarily intended to be a guide for organisations that want to begin to implement lean production.The development of how lean management techniques are used continues dependent on the development of intelligent value today. Smart, creative techniques, critical information, talent, and big data need to be sustainable in other respects. I4.0 assumes a critical foundation of this latest vision for the organisation's future. As the results, the lean manufacturing approach by the VSM pointed out eight waste from the current production system, known as Kaizen burst that influence to company’ profit which is high access inventory volume in between process, high rework and reject volume, delayed supplier and deliver product on time to customer, wrong forecast data, changeover time require long time, low machine performance/ inefficiency machine, travelled time in between process and lack on 5S activities. However, only three main findings based on the production system discussed in this paper. |
|---|