Camilla´s research focuses on the implementation of maintenance in digitalised manufacturing, called Smart Maintenance. Smart Maintenance is on the strategic agenda for many industrial companies, but they need evidence-based guidance in pursuing such an implementation. With her research, Camilla provides support for industrial companies to develop strategies for their maintenance organisations to meet the demands of digitalised manufacturing.
Today’s technological advancements and innovations are developing rapidly, and digital technologies have become for many of us a regular part of our daily lives. Similar technological development takes place in the manufacturing industry, where industrial companies are aiming for highly digitalised production systems. This development impacts the function responsible for keeping production systems working; the maintenance function. However, maintenance has long been a traditional field, and the traditional ways of working often prevail. Thus, there is a need for organisational innovation in maintenance to keep up with the technological innovations in digitalised manufacturing.
Maintenance in digitalised manufacturing is called “Smart Maintenance”, and many industrial companies need guidance in pursuing such an implementation. This thesis contributes by looking at Smart Maintenance implementation through the lenses of attributes that impact innovation; relative advantage, compatibility, complexity, trialability and observability. This thesis reviews 24 models and demonstrates one example of how to evaluate new technology, to support investment in Smart Maintenance. Such models may be used to describe the relative advantage of Smart Maintenance, thus helping industry practitioners to prepare investment proposals. Moreover, the role of the maintenance manager is described, i.e. maintenance managers must ensure that Smart Maintenance presents compatibility with the rest of the organisation. This thesis also proposes a work procedure for Smart Maintenance strategy development that supports stepwise implementation with a learning focus. This increases trialability and decreases complexity. Further, this thesis reviews 170 performance indicators that may be used to follow up the work with Smart Maintenance to ensure observability.
Taken together, this thesis provides a framework with inspiration and guidance for maintenance managers on strategically approaching the implementation of Smart Maintenance. Ideally, it supports the organisational innovation in maintenance that is needed to realise highly productive production systems in digitalised manufacturing.
November 12, 09:00 AM
Opponent: Associate Professor Tomohiko Sakao, Linköping University