z-logo
open-access-imgOpen Access
PRODUCTION SYSTEM IMPROVEMENT THROUGH KANBAN APPLICATION IN LABOR INTENSIVE COMPANY
Author(s) -
Novera Elisa Triana,
Meike Elsye Beatrix
Publication year - 2019
Publication title -
sinergi
Language(s) - English
Resource type - Journals
eISSN - 2460-1217
pISSN - 1410-2331
DOI - 10.22441/sinergi.2019.1.005
Subject(s) - kanban , process (computing) , production (economics) , work (physics) , lead time , manufacturing engineering , work in process , business , operations management , production line , work order , delivery performance , computer science , control (management) , process management , engineering , marketing , mechanical engineering , artificial intelligence , economics , macroeconomics , operating system
Delivery performance is essential for a manufacturer to meet customer requirement. The only manufacturer with fast, accurate and on time delivery could survive in global competition as a sports shoe manufacturer with the labor-intensive production process, PT. XYZ faced a problem with massive work in process inventory that impacted low delivery performance. This research aims to support the shoe manufacturer company to reduce work in process inventory by applying Kanban System. The manufacturer company can decrease work in process in the production line and cut the lead time of production. Kanban System can be utilized from receiving material process, production process, until the packaging process. By implementing a kanban system correctly and consistently, the company can control material supply, production material usage, and customer order delivery inaccurate process . With controlled those items, the company could monitor and manage material and process from beginning to end of the process, even to monitor distribution to a customer. The result of analysis proves that by applying kanban system can achieve the specified daily production target without work in process inventory .

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom