Reconfigurability Assessment Model : Assessment of a Manufacturing System's Current State

Detta är en Master-uppsats från Högskolan i Jönköping/JTH, Produktionsutveckling

Sammanfattning: Today’s global market and growing competition set an increasing strain to manufacturing companies. Shorter product lifecycles automatically lead to shorter production ramp up periods and, therefore, set a higher strain on the manufacturing systems. The concept of reconfigurable manufacturing systems (RMS) was developed in the early 1990s and has now gained more interest than ever. An RMS is designed to quickly respond to changes in market demand, by adapting its functionality as well as its capacity to the current market requirements. In order to achieve this, an RMS is characterised by six core characteristics: modularity, integrability, diagnosability, convertibility, scalability and customisation. By complying with these characteristics, the manufacturing system can meet the required responsiveness to functionality and capacity changes. Academia has been focusing on the development and design of new RMSs, however, there is a lack in research on converting existing manufacturing systems towards reconfigurability. Additionally, few models assessing a manufacturing system’s current state in terms of reconfigurability are available in literature. The existing reconfigurability assessment models were proven to be rather theoretical and difficult to use by practitioners in industry. Therefore, the need for a reconfigurability assessment model applicable in industry arose. This study focuses on the analysis of enablers of a reconfigurability manufacturing systems as well as on assessing the reconfigurability of an existing manufacturing system in an industrial setting. For this purpose, a detailed reconfigurability assessment model has been developed, based on literature studies and a case study at a case company. A focus of the development of the model has been set on usability in industry. The outcome was an assessment model developed in Microsoft Excel that gives an overview on the reconfigurability of each characteristic as well as the manufacturing system’s overall reconfigurability. The model was subsequently tested and verified at the case company. The final reconfigurability assessment model is presented and explained at the end of this study. This study shows, that through the use of theory about RMS and input from industry it was possible to develop a current state assessment model regarding reconfigurability. To make the model generalisable and adaptable to different industrial settings, further testing in different manufacturing fields and research within RMS is required.

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