z-logo
open-access-imgOpen Access
Inventory Planning at Painting Section in the Indonesian Automotive Industry
Author(s) -
Muhammad Haikal Sitepu,
Dian Pratama Situmorang,
Meilita Tryana Sembiring
Publication year - 2019
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/648/1/012004
Subject(s) - automotive industry , economic order quantity , indonesian , order (exchange) , operations management , business , operations research , inventory cost , computer science , marketing , economics , engineering , supply chain , aerospace engineering , linguistics , finance , philosophy
An increase of competition in the Indonesian automotive industry due to an emergence of new products and the presence of new players has pushed the companies in this industry to have proper planning for inventory. Many models are available in the literature to support good planning for inventory, However, not all models are appropriate to be used in inventory planning for a specific department in the Automotive industry. Economic impacts such as cost can be used as consideration in selecting the appropriate model. This paper aims to compare models for inventory planning at painting section in one of the Indonesian automotive industry based on inventory cost. Economic Order Quantity (EOQ), Kanban and Economic Order Interval (EOI) are models compared in this study. The results of this study indicated that EOQ and EOI are the inventory model that produces the lowest inventory cost.

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