Assessing the appropriateness of additive manufacturing : Development of a knowledge based assessment methodology to determine appropriateness of additive manufacturing for an organisation

Haar, W. van der (2016) Assessing the appropriateness of additive manufacturing : Development of a knowledge based assessment methodology to determine appropriateness of additive manufacturing for an organisation.

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Abstract:Additive manufacturing (AM) is an upcoming technology that according to experts will have a major impact the strategy of product development and production. Currently, many companies are evaluating the possibilities of using this upcoming manufacturing technology but do not have a clear overview of the impact and possibilities. Capgemini is currently exploring how upcoming technologies like AM should be applied to gain competitive advantage for their clients. To reach this goal they collaborate with clients and offer them insight and create awareness to use this technology in a targeted manner. In order to enhance this process this research aims to develop an assessment methodology which is supported by a DSS to enable people with little knowledge of AM to ask questions and provide relevant information. In each stage of the decision making process it is possible to determine the applicability of AM and receive indications about the value for further research into these areas. An algorithm has been developed that can identify AM processes but also includes traditional technologies and post processing steps. Decision makers can use the algorithm to analyse future scenarios by among others reviewing different cost drivers.
Item Type:Essay
Clients:
University of Twente, Netherlands
Faculty:ET: Engineering Technology
Subject:52 mechanical engineering
Programme:Industrial Design Engineering MSc (66955)
Link to this item:http://purl.utwente.nl/essays/71518
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