Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6249
Title: An Isa-95 Manufacturing Intelligence System in Support of Lean Initiatives
Authors: Ünver, Hakkı Özgür
Keywords: Manufacturing intelligence
Lean manufacturing
ANSI/ISA-95
Publisher: Springer London Ltd
Abstract: Increasingly, lean manufacturing is being applied by leading manufacturers throughout the world. As continuous improvement cycles of many lean initiatives focus on cost control and improving quality of product, turbulence in world markets demand more agility and responsiveness without compromising cost and quality. In order to attain more agility, information and communication technologies are utilized by many manufacturers, both at shop floor systems and enterprise resource planning (ERP) layer. This increasing trend created a disconnect that presents an opportunity for manufacturing intelligence (MI) systems. Bridging this gap, MI can enhance responsiveness by providing visibility into operations and improve quality by tracking long-term data, hence support the continuous improvement philosophy of lean manufacturing. This paper presents an ISA-95-based MI framework that can support lean manufacturing by contextualizing low-level shop floor data using production operation information from ERP systems. Processed data is presented on dashboards via Key Performance Indicators, which managers can use to determine appropriate action for their lean initiatives, timely and effectively.
URI: https://doi.org/10.1007/s00170-012-4223-z
https://hdl.handle.net/20.500.11851/6249
ISSN: 0268-3768
1433-3015
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

42
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

52
checked on Aug 31, 2024

Page view(s)

156
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.