Wieger Tiddens is a PhD candidate in the field of maintenance technology at the University of Twente and the Netherlands Defence Academy. He holds a Master’s degree in Technology Management obtained at the University of Groningen. He has professional experience in the application and development of maintenance concepts and techniques within industry.
His research interests include the support of informed maintenance decision making and the application of maintenance techniques (e.g. condition-based maintenance techniques) within companies.
The application of condition-based maintenance (CBM) attracts a lot of attention but does however not always deliver the expected benefits in practice. CBM can be worthwhile to companies to optimize their maintenance plan and make decisions on the lifetime extension of their assets. Maintenance techniques (e.g. vibration monitoring or data analytics) support informed maintenance decision making by taking the current, but preferably also the future, state of capital assets into account. However, the literature shows that only few practitioners have effectively applied these techniques.
We therefore conducted case studies in various industries in the Netherlands (Tiddens, Braaksma, Tinga, 2015) to find out how these techniques are used and identify typical difficulties that companies experience in the use and application of these maintenance techniques.
We found that often a costly trial-and-error process is followed in the implementation of the techniques that enable CBM. Moreover, many companies experience difficulties in selecting the suitable maintenance technique to apply. We therefore developed a framework that helps companies select the appropriate maintenance technique. We argue that the suitable technique to apply depends on the company’s ambition level as well as the availability of knowledge and data within the company.
Moreover, not all industrial equipment benefits from these techniques; almost 30% of industrial equipment does not benefit from CBM (Hashemian & Bean, 2011). We are therefore working on the business case for CBM that helps managers evaluate whether investing in CBM-techniques is beneficiary to their firm.
This research aims helping practitioners to use and adopt maintenance techniques. Therefore, please feel free to contact me if you want to discuss the use/application of maintenance techniques within your company or research, send me an email!
The research is part of the Tools4LCM project, funded by the Netherlands Ministry of Defence and the National Aerospace Centre (NLR). The research is also part of the MaSeLMA project (Integrated Maintenance and Service Logistics Concepts for Maritime Assets), funded by Dinalog (Dutch Institute for Advanced Logistics).
This project aims to develop quantitative tools to improve the Life Cycle Management process (both in general and specifically within the Ministry of Defence). Using data from different sources, i.e. failure, logistic, maintenance, usage, condition and financial data, methods are developed to quantify the maintenance performance. Both the costs and the resulting performance (i.e. realized availability) are addressed. A team of representatives from Airforce, Army and Navy has been formed to work on relevant case studies, like the CV-90, Cougar, F-16 and LCF, and provide useful input data. In addition the NLDA / UT researchers analyse the data and develop the new methods.
The project “Integrated Maintenance and Service Logistics Concepts for Maritime Assets” (MaSeLMa) focuses on developing innovative concepts to improve the predictability of maintenance and service logistics demand on the one hand, and developing smart concepts of service logistics optimization, supply chain coordination and cooperation on the other hand. Research is organized in three work packages. The first WP aims to increase the predictability of maintenance (i.e. prevent failures / reduce unnecessary maintenance). For this WP a PhD candidate is sought, for which the project description is given below. WPs 2 and 3 focus on service logistics planning and supply chain coordination, respectively.
JOURNAL PAPERS AND BOOK CHAPTERS
Tiddens, W.W. and Braaksma, A.J.J. and Tinga, T. (2017) Towards Informed Maintenance Decision Making: Guiding the Application of Advanced Maintenance Analyses. In: Optimum Decision Making in Asset Management. IGI Global. ISBN 9781522506515
Tiddens, W.W., Braaksma A.J.J., Tinga, T., (n.d.) There are many ways towards predictive maintenance: selecting the most suitable maintenance technique. Submitted to Reliability Engineering and Systems Safety Journal [Under review]
CONFERENCE PAPERS AND OTHER PUBLICATIONS
Tiddens W.W., Brouwer, O., Braaksma A.J.J., Tinga T. (2017) The business case for condition-based maintenance: a hybrid (non-) financial approach. ESREL 2017 - European Safety and Reliability Conference Portoroz, Slovenia: ESREL. [under review]
Tiddens WW, Braaksma AJJ, Tinga T. (2016) Towards informed maintenance decision making: Identifying and mapping successful diagnostic and prognostic routes In: Grubbström RW, Hinterhuber HH, editors. IGLS 19th International Working Seminar on Production Economics. Innsbruck, Austria 2016. Vol 2. p. 439-50.
Tiddens, W.W. and Braaksma, A.J.J. and Tinga, T. (2015) The adoption of prognostic technologies in maintenance decision making: a multiple case study. In: The Fourth International Conference on Through-life Engineering Services. p. 171 - 176.
Tiddens, W.W., Braaksma, A.J.J., Tinga T., Maintenance techniques: Theory versus practice
Tiddens, W.W., Braaksma, A.J.J., Tinga T., The journey to better informed maintenance decisions: identifying pathways for applying advanced maintenance techniques
SUPERvised Msc projects
- Alice van der Horst (Shell, Pernis) – Improving the maintenance execution process by repair lead time reduction
- Niels van Noord (Saint-Gobain Abrasives, Eibergen) – Towards using process control data to enable condition based maintenance for PLC-driven machinery at Saint Gobain Abrasives
- Eduard Costin Tudor (Mors Smit, Utrecht) – Using advanced maintenance techniques to advise asset owners on the use and maintenance of relays
- Miklos Bartha (Saint-Gobain Abrasives, Eibergen) – Improving Efficiency & Effectiveness of SGA with the Implementation of Ultimo
- Jeroen van Beek (Ricardo, Utrecht) – Towards catenary condition monitoring using in-service trains: A pilot study on the use of FBG sensors on Dutch passenger trains to detect physical irregularities in the catenary system.
- Jelle Wagenvoort (Tata Steel, IJmuiden) – Continuous structured maintenance concept improvement with maintenance feedback at Tata Steel IJmuiden. The case of strip-tracking deviations at the Hot Strip Mill.
Next to my current position as a PhD-candidate, I’m active as a reservist in the Royal Netherlands Army. We protect and defend (temporary) military objects on Dutch territory and provide military assistance and support.
MaxGrip is a consultancy firm specialised in Asset Performance Management. For MaxGrip, I was involved in maintenance concept and improvement programs and worked as a project maintenance engineer.