Evaluating the Role of Maintenance Maturity in Adoption of New ICT in the Process Industry

The paper provides the results of an investigation on the perception of new Information and Communication Technologies (ICTs) in the process industry. A research question is the main focus of the investigation: which are the technological components enabling the development and improvement of maintenance operations? Since this topic covers a lot of stuff, the research focus is restricted in this paper, according to two guidelines: first, the comprehensive research scope focuses on the new ICT enabling the improvement of Condition Based Maintenance activities; secondly, the paper focuses on the results retrieved through a case study analysis in the process industry. The investigation is based on the assessment of the maintenance maturity of the companies cooperating in the research, in view of the fact that new ICT perception can be influenced by the maintenance management context in which the technologies are evaluated.

[1]  M. Macchi,et al.  Investigating Business Models when adopting new ICT systems for condition based maintenance: a case study analysis , 2008 .

[2]  Eric Levrat,et al.  A Road-map to the Implementation of Advanced ICTs in Maintenance Organization , 2008 .

[3]  Terzi Sergio,et al.  INVESTIGATING THE ORGANIZATIONAL BUSINESS MODELS OF MAINTENANCE WHEN ADOPTING SELF DIAGNOSING AND SELF HEALING ICT SYSTEMS IN MULTI SITE CONTEXTS , 2007 .

[4]  Sergio Cavalieri,et al.  APPLICATION OF NEURAL NETWORKS TO CONDITION BASED MAINTENANCE: A CASE STUDY IN THE TEXTILE INDUSTRY , 2007 .

[5]  Benoît Iung,et al.  E-MAINTENANCE: PRINCIPLES, REVIEW AND CONCEPTUAL FRAMEWORK , 2007 .

[6]  Srinivas Kumar Pinjala,et al.  An empirical investigation on the relationship between business and maintenance strategies , 2006 .

[7]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[8]  R. Gadh,et al.  Smart sensor platform for industrial monitoring and control , 2005, IEEE Sensors, 2005..

[9]  Marcus Bengtsson Condition Based Maintenance System Technology - Where is Development Heading? , 2004 .

[10]  G. S. Yadava,et al.  Applications of artificial intelligence techniques for induction machine stator fault diagnostics: review , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..

[11]  L. Pintelon,et al.  A framework for maintenance concept development , 2002 .

[12]  Albert H. C. Tsang,et al.  Condition-based maintenance: tools and decision making , 1995 .