Utveckling av applikation för röststyrning vid inventering

Sammanfattning: The manufacturing industry has an important role in Sweden's economy and has been producing high quality goods that are exported all over the world for a long time. By using modern technologies such as advanced warehouse systems and digital tools, companies can increase productivity and reduce costs. An example of such modern technology is Automatic Speech Recognition (ASR). Most of the previous research conducted in the field of ASR has focused on analyzing and addressing various kind of problems related to the performance of an ASR-system. Furthermore, there are also a number of studies regarding how ASR has been used in the manufacturing industry, and more specifically, to facilitate order picking. In this work, the use of speech recognition was investigated as a possible method to facilitate and streamline the inventory process. To investigate this, a prototype for a web application has been developed. The application enables a user, through speech recognition, to speech the article number together with the available quantity in the warehouse. Subsequently, the user receives a confirmation both visually and through sound of which the application automatically registers it in the Monitor ERP software. Data has been collected by observing user tests and conducting interviews with indi-viduals who all have some connection to the warehouse at different manufacturing companies. The results indicated that the inventory process could become more ef-fective by using the application. However, some deficiencies were identified during the user tests, which means that the prototype needs further development and increased robustness to be used as a tool during inventory management.