Abstract
This paper introduces a concept for product optimization support based on the integration of customer data sources. The motivation is a common misunderstanding gap between the manufacturer and the customer. While the customer has certain needs, the manufacturer aims at embedding them into the product design. However, due to imprecise understanding of the needs and subsequent development mistakes, the product can vary from what the customer actually requires. The concept combines two different data sources in order to reveal the gap between the product and the customer needs. The first source is represented by a customer-product interaction log file. The second source is social media delivering customer feedback regarding the product.
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Deriyenko, T., Hartkopp, O., Mattfeld, D.C. (2017). Supporting Product Optimization by Customer Data Analysis. In: Dörner, K., Ljubic, I., Pflug, G., Tragler, G. (eds) Operations Research Proceedings 2015. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-42902-1_66
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DOI: https://doi.org/10.1007/978-3-319-42902-1_66
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Online ISBN: 978-3-319-42902-1
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