Production disturbances causes substantial costs and efficiency losses in automated production systems (studies estimate 106 billion SEK every year in Swedish manufacturing industry). Therefore, the D3H project aims to digitalize established disturbance handling tools (DHT) by making them data-driven and more effective.
The use of digitalized disturbance handling tools holds great potential to increase cost-effectiveness in automated production systems. In fact, the costs of production disturbances are likely even higher than stated above due to difficulties in calculating
their rippling effects (cost of lost production) in production flows. Studies show that the Overall Equipment Effectiveness (OEE) is only around 50-55% on average in Swedish manufacturing industry. World-class figures are usually argued to be 85%
Therefore, the D3H project aims to enable more and increasingly advanced automated solutions in production systems by:
Main project goals are:
The project goals above are designed to address the following industrial needs:
Fortunately, there are already established DHTs to start from but current challenges are:
The first project step is to map current DHTs, their use in the case companies, and their effects on different disturbance patterns. Thereafter, the proposed digitalized DHT will be implemented at six case companies and the effects on different disturbance patterns will be measured. The project will also develop improvement services based on the DHT for internal use or to be provided on a consultancy basis.
The project results will be disseminated by means of technology workshops, webinars, and development of digitalized learning modules, inspired by Massive Open Online Courses (MOOCs). These modules are designed for use in university courses, professional education, etc. and aimed for learning platforms such as Civilingenjör 4.0.
Common channels such as social media, technical fairs, etc. are also planned.
To secure the right competences, the consortium includes major Swedish research institutes and universities together with manufacturing companies, Small and Medium Sized Enterprises (SMEs), and a software innovator company. A multi-disciplinary team combining manufacturing maintenance experience and computer science
expertize. The consortium is also a good mix of start-up innovators and end-users, a perfect set-up for generating innovations and quickly scale up to industrial value.