Identification of maintenance improvement potential using OEE assessment

Purpose – The purpose of this paper is to identify maintenance improvement potentials using an overall equipment effectiveness (OEE) assessment within the manufacturing industry. Design/methodology/approach – The paper assesses empirical OEE data gathered from 98 Swedish companies between 2006 and 2012. Further analysis using Monte-Carlo simulations were performed in order to study how each OEE component impacts the overall OEE. Findings – The paper quantifies the various equipment losses in OEE, as well as the factors availability, utilization, speed, quality, and planned stop time. From the empirical findings, operational efficiency losses are found to have the largest impact on OEE followed by availability losses. Based on the results, improvement potentials and future trends for maintenance are identified, including a systems view and an extended scope of maintenance. Originality/value – The paper provides detailed insights about the state of equipment effectiveness in terms of OEE in the manufacturing industry. Further, the results show how individual OEE components impact overall productivity and efficiency of the production system. This paper contributes with the identification of improvement potentials that are necessary for both practitioners and academics to understand the new direction in which maintenance needs to move. The authors argue for a service-oriented organization. Keywords Manufacturing, Overall equipment effectiveness, Maintenance,Production service and maintenance systems Paper type Research paper

[1]  J. Moubray Reliability-Centered Maintenance , 1991 .

[2]  Gunnar Sohlenius,et al.  Towards Profitable Persistent Manufacturing. Human Factors in Overcoming Disturbances in Production Systems , 1999 .

[3]  Minoru Tanaka,et al.  Shifting bottleneck detection , 2002, Proceedings of the Winter Simulation Conference.

[4]  Maheshwaran Gopalakrishnan,et al.  Simulation-based planning of maintenance activities in the automotive industry , 2013, 2013 Winter Simulations Conference (WSC).

[5]  Stephan Biller,et al.  Real time production improvement through bottleneck control , 2009 .

[6]  David Sherwin,et al.  A review of overall models for maintenance management , 2000 .

[7]  Björn Johansson,et al.  Data Requirements and Representation for Simulation of Energy Consumption in Production Systems , 2011 .

[8]  Peter Muchiri,et al.  Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion , 2008 .

[9]  Jay Lee,et al.  Maintenance: Changing role in life cycle management , 2004 .

[10]  Basim Al-Najjar,et al.  Total quality maintenance: An approach for continuous reduction in costs of quality products , 1996 .

[11]  Arne Ingemansson,et al.  On Reduction of Production Disturbances in Manufacturing Systems Based on Discrete-Event Simulation , 2004 .

[12]  Aditya Parida,et al.  Maintenance performance metrics a state of the art review , 2013 .

[13]  J.E. Amadi-Echendu Managing physical assets is a paradigm shift from maintenance , 2004, 2004 IEEE International Engineering Management Conference (IEEE Cat. No.04CH37574).

[14]  Jun Ni,et al.  Decision support systems for effective maintenance operations , 2012 .

[15]  K. El-Akruti,et al.  A framework for the engineering asset management system , 2013 .

[16]  Anders Skoogh,et al.  WORKING WITH FORCES PROMOTING OR HINDERING IMPLEMENTATION OF STRATEGIES FOR MAINTENANCE – EXPERIENCES FROM SWEDISH INDUSTRY , 2014 .

[17]  後藤 文夫 Equipment planning for TPM : maintenance prevention design , 1991 .

[18]  Oksana Mont,et al.  Clarifying the Concept of Product-Service System , 2002 .

[19]  I. Alsyouf The role of maintenance in improving companies' productivity and profitability , 2002 .

[20]  Adolfo Crespo Márquez,et al.  The Maintenance Management Framework , 2009 .

[21]  Õrjan Ljungberg,et al.  Measurement of overall equipment effectiveness as a basis for TPM activities , 1998 .

[22]  Hans Ahlmann,et al.  From traditional practice to the new understanding: the significance of the Life Cycle Profit concept in the management of industrial enterprises , 2002 .

[23]  Anders Skoogh,et al.  Planning of Maintenance Activities – A Current State Mapping in Industry☆ , 2015 .

[24]  Aditya Parida,et al.  Performance measurement and management for maintenance: a literature review , 2015 .

[25]  Shamsuddin Ahmed,et al.  TPM can go beyond maintenance: excerpt from a case implementation , 2005 .

[26]  Lindley R. Higgins,et al.  Maintenance Engineering Handbook , 1967 .

[27]  Gunnar Bolmsjö,et al.  Improved efficiency with production disturbance reduction in manufacturing systems based on discrete‐event simulation , 2004 .

[28]  Benjamin S. Blanchard An enhanced approach for implementing total productive maintenance in the manufacturing environment , 1994 .

[29]  Graham Thompson,et al.  The design of functional (total care) products , 2004 .