Digitalisation of work instructions, coaching and quality follow-up
Examensarbete för masterexamen
Production engineering (MPPEN), MSc
Abstract The demand for high quality, customised and priced worth products is increasing, pushing production towards mass customisation. The complexity of production systems increases as well as the complex work environment for the operators. The perceived complexity of a system can be reduced by supporting cognitive processes with effective and simple information presentation, while at the same time increase operator performance and satisfaction. With decreasing takt times, it sets different requirements on how and what type of information should be presented to be able to support the operator. This thesis, therefore, investigates, evaluates and creates a prototype visualising a system which presents digital work instructions in a mixed model final assembly with a low takt time of about one minute.Abstract The main focus of the thesis is to develop a system with corresponding digital work instructions for its end-users, the operators. By applying a mixed methods approach, an understanding of the operators’ need for two types of digital work instruction was established. The first type, on-line work instructions, are simplified instructions which are presented when the production is running. The second type, off-line work instructions, are more comprehensive instructions which are available when the production is not running.Abstract The best-fitted format for on-line work instructions are real-time updating variation symbols and for off-line work instructions are videos. By using two types of work instructions, the operators can find information which is both simplified and supportive but also detailed and explanatory. The collaboration with operators during the system development will increase the probability of the system being used, leading to standardised work and enhanced product quality.
Produktion , Innovation och entreprenörskap (nyttiggörande) , Maskinteknik , Production , Innovation & Entrepreneurship , Mechanical Engineering