Savitri, Theodora and Pratama, Aditya T. and Saraswati, Triarti (2019) Improving Quality of Medium Voltage Production in Cable Company. Bachelor thesis, Swiss German University.
|
Text
Theodora Savitri 11507001 TOC.pdf Download (1MB) | Preview |
|
Text
Theodora Savitri 11507001 1.pdf Restricted to Registered users only Download (576kB) |
||
Text
Theodora Savitri 11507001 2.pdf Restricted to Registered users only Download (1MB) |
||
Text
Theodora Savitri 11507001 3.pdf Restricted to Registered users only Download (498kB) |
||
Text
Theodora Savitri 11507001 4.pdf Restricted to Registered users only Download (763kB) |
||
Text
Theodora Savitri 11507001 5.pdf Restricted to Registered users only Download (275kB) |
||
|
Text
Theodora Savitri 11507001 Ref.pdf Download (180kB) | Preview |
Abstract
Medium Voltage cable is a power distribution cable with a range from 2000 to 35,000 volts. Medium Voltage cable is the primary production due to the high level of demand in the company. Quality is the main focus to create smooth production and high-grade quality cable with the aim of minimizing defects and time-consuming reworking processes. Good quality is not solely machine and material; it can be influenced by other aspects (such as organization, environment, and management). The production in current condition has a defect that is only found in certain processes. To increase quality production in a cable manufacturing company, the potential error from several aspects need to reduce. Pareto chart and Fishbone diagram will be used to analyse the defect root-cause using recorded data. This research uses Human Factor Analysis and Classification Systems (HFACS) methodology to analyse potential human errors in this company. HFACS outlined the possibility of error is due to wrong material handling or error in data transfer. A new moving system tool was decided to be an effective solution to solve material handling problems and business process improvement is made as a new standard procedure to eliminate a potential error in data transferring.
Item Type: | Thesis (Bachelor) |
---|---|
Uncontrolled Keywords: | Quality ; Human Error ; Human Factor Analysis and Classification System ; Business Process Improvement |
Subjects: | T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering |
Divisions: | Faculty of Engineering and Information Technology > Department of Industrial Engineering |
Depositing User: | Adityatama Ratangga |
Date Deposited: | 19 May 2020 13:41 |
Last Modified: | 19 May 2020 13:41 |
URI: | http://repository.sgu.ac.id/id/eprint/581 |
Actions (login required)
View Item |