Experience from implementing digital twins for maintenance in industrial processes

Experience Management in Maintenance and After Sale Service of an Industrial Enterprise

Back ground and Aim: Experience Management and Tacit Knowledge of organization's employees are considered one of the most important capitals of today's leading companies. This study is done in a company which produces manufacturing bending machine for tube and wire. The quality of after-sales service and the performance of the technicians' regarding to the customers are important in this compan...

A Comprehensive Approach to Implementing IoT Digital Twins

Extending Industrial Digital Twins with Optical Object Tracking

In the last year, the concept of Industry 4.0 and smart factories has increasingly gained more importance. One of the central aspects of this innovation is the coupling of physical systems with a corresponding virtual representation, known as the Digital Twin. This technology enables new powerful applications, such as real-time production optimization or advanced cloud services. To ensure the r...

Soft Sensor Model Maintenance: A Case Study in Industrial Processes

One of the challenges of utilizing soft sensors is that their prediction accuracy deteriorates with time due to multiple factors, including changes in operating conditions. Once soft sensors are designed, a mechanism to maintain or update these models is highly desirable in industry. This paper proposes an index that can monitor the prediction performance of soft sensor models and provide guida...

Industrial Maintenance Modelled in SOCCA: an Experience Report

A large industrial process, software maintenance, has been modelled by using the process modelling language SOCCA. The paper reports about the experiences with this trial. In particular, feasibility, expressiveness, quality, and the overall benefits of a formal SOCCA model are discussed and compared to the formerly existing informal process description. In order to illustrate the results, a wel...