Volvo Group Trucks Operations is a subordinate organization to the Volvo Group concern, which is one of the world's largest manufactures of trucks, buses, construction equipment, marine and industrial engines. Volvo Group Trucks Operations organization encompasses all production of the Volvo Group’s engines and transmissions as well as all production of Trucks. Volvo Group Trucks Operations is looking into digitize the methods utilized for information handling within their assembly plant in Tuve, Sweden, and this thesis project part in the digitization process.  The currently used assembly work instructions at the assembly plant in Tuve are printed on paper and contains excessive amounts of information that makes it challenging for the assembly operators to consume the work instructions efficiently. Therefore, Volvo Group Truck Operations want look into the possibility to introduce dynamically adjustable and digital work instructions that could be tailor fitted to an operator's experience level and presented with smart technologies. The project is divided into two parts where the first part was assigned to identify the information need for smart process capable of generating dynamic digital work instructions and the second part to research how this information need could be satisfied with currently used simulation tools. The information needs analyses showed that the smart process needs to be divided into two sub-processes, one for gathering and processing production specific data into a fully detailed work instruction and the other one for filtering the fully detailed work instruction to tailor fit an operator independent of their skill level within assembly work. A framework containing three information aspects is stated to describe the information need for the smart process. These information aspects are Inputs, Smart process and Outputs. The information aspects are then further broken down into five required information areas that is important for the smart process functionality. The required information areas are Data, Attributes, Inputs, Instruction and Information structure and Instruction consummation. When combining the results for the information aspects and the required information areas, the framework for the smart process needed to be able to generate dynamic digital work instruction could be stated. Using the simulation software IPS IMMA to simulate a generic assembly demo case to generate and export production specific data in the human readable XML coding language showed that it is possible to satisfy the framework for the smart process. However, comparing the simulated data with the information need for the framework resulted in the discovery that the IPS IMMA version used in the project, PMTS event exporter, withholds information regarding the assembly work. The generated data provides information regarding movement distances, movement times and grip types when interacting with work objects. For the smart process to be able to generate fully detailed instructions it needs to be supplied with additional information regarding the work objects in action and directions of movements conducted during the assembly work. Despite this withhold of information from the export data, it would still be possible to fully satisfy the framework for the smart process. All the missing information is contained within the IPS IMMA hence the software needs an update that adds the additional information to the data export.

This thesis work has been carried out at the company Saab AB Aeronautics, which manufactures the military aircraft Gripen E. Today, the company uses 3D work instructions for assembly of Gripen E, which is displayed on a computer screen for the shop floor workers. The company has an interest in investigating whether today's work instructions can be visualized in an Augmented Reality interface by reusing available data. This work has been limited to studying wire harness assembly, which is a main part of the final assembly. The methodology case study in combination with the method Requirements Engineering has been used to analyze the company's possibilities. Data collection has been conducted with internal interviews, studying internal materials and internal courses. The result chapter contains two parts, where the first part presents a situation analysis of how today's work instructions are created in the software DELMIA and what data that is needed. The second part presents a requirements specification for an Augmented Reality Work Instruction for assembly of Gripen E. In the discussion, the situation analysis is compared with the requirements to answer which data that could be reused for creating Augmented Reality Work Instructions and what challenges that may arise. This study shows that the company has prerequisites for creating work instructions in Augmented Reality, as there is available data containing 3D models structured according to an assembly sequence with associated descriptive information.