Towards the development of a predictive maintenance concept: Incorporating an opportunistic maintenance concept and improving the maintenance service schedule – Lely
|Company Name / Department||
Lely International NV
Lely – Oscar Moers
TU/e – Claudia Fecarotti
TU/e – Ipek Kivanc (PhD student)
|Housing arranged by company||No|
It is an amazing opportunity at an international innovative company, leader in the agricultural industry. In other words, enough to learn for an intern!
- Working in an international environment where you can really make an impact with your contribution;
- You will work at one of the most innovative organizations in the Netherlands;
- Freedom in organizing your own work;
- Lots of responsibility;
And the best cappuccinos made by our own barista and fresh milk directly from our farm from one of our colleagues.
Below are some useful links: https://www.lely.com/about-lely/our-company/ https://www.lely.com/about-lely/our-company/vision-and-mission/ https://www.lely.com/maintenance/technical-service-support/ https://www.lely.com/maintenance
Lely is traditionally an Original Equipment Manufacturer (OEM) which supplies innovative products along with some technical service including necessary repairs and warranty. Nowadays Lely is undertaking a “servitization journey” aimed at upgrading the company from an OEM, to a service provider. This means that Lely will not only supply products, but the technical services provided to the client as per contract will be a tailored preventive maintenance service optionally bundled with a lump sum for break-down services. The offered maintenance services develop from corrective maintenance, via preventive and predictive maintenance to pro-active maintenance. One of the goals of the servitization journey is to offer customers 100% uptime for Lely products, with no unscheduled breakdowns and limited number of scheduled service visits, along with a minimization of the maintenance costs and a maximization of the product output performance. The offered maintenance services develop from corrective maintenance, via preventive and predictive maintenance to pro-active maintenance. This research plan is meant to contribute to Lely’s servitization journey by ultimately developing a decision support system for initiating maintenance actions and their clustering for a machine as a whole during the entire life of the machine. The decision support system will develop “optimal” maintenance concepts for the machine during the (1) design phase, (2) early exploitation phase and (3) full exploitation phase, respectively. Each phase has different requirements and challenges related to the uncertainty of the failure and degradation processes, which are strictly dependent on the availability of engineering and field data. The decision support system should work as one system, but embed models tailored for each phase.
The ultimate vision is to have a machine with maintenance concept that is customer specific optimized on cost, downtime and performance, by fully implementing predictive and pro-active maintenance. The relevant components are continuously monitored by means of sensors. The IoT (Internet of Things) technology combined with AI (Artificial Intelligence) techniques will enable the timely prediction of failures and times to degrade to relevant degradation thresholds, as well as the selection of the appropriate maintenance action. Accurate predictions of the remaining useful life of components will enable to minimize the loss of life while also minimizing the risk of unexpected failures. The decision support system will enable “individualization” of the maintenance concepts based on customer preference, external circumstances, service conditions and machine usage.
This assignment is twofold. Firstly, technician availability will be included in the model. A field service concept involves sending service technicians to perform various maintenance tasks. Thus, technician availability becomes a key measure. From a human perspective, it is essential that maintenance is scheduled during business hours, besides minimizing cost and downtime. Lely wants to make the maintenance concept more attractive for employees so that maintenance is scheduled as much as possible during business hours. Indeed, less overtime, less disruptive consignment shifts, less traveling time can make the maintenance concept more attractive for technicians. This assignment intends to ensure that maintenance tasks are performed during business hours as much as possible. Secondly, while currently, only planned downtimes are used as opportunities to maintain multiple components, in this assignment, unplanned downtimes will also be considered an opportunity to perform maintenance on the other components.
Essential Student Knowledge
Essential knowledge on Supply Chain Networks, Network calculation and simulation.
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