Now showing 1 - 2 of 2
  • Publication
    A hybrid model of data mining and MCDM methods for estimating customer lifetime value
    Due to competitive environment, companies want to create a long-term relationship with their customers throughout customer relationship management (CRM). Building effective customer relationship management, companies should estimate customer lifetime value (CLV). CLV is normally calculated in terms of recency, frequency and monetary (RFM) variables. In this paper, a model for estimating CLV based on RFM variables integrated with data mining and multi criteria decision making (MCDM) methods has been proposed. The proposed methodology contains three phases in which Fuzzy Analytical Hierarchy Process (FAHP) has been used to determine RFM variables' weights. Then, Kmeans clustering method was employed in order to customer clustering and segmentation. Customer clusters were then ranked using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Finally, the proficiency of the model was shown by conducting a case study of cosmetics industry.
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  • Publication
    Environmental impacts of conventional and additive manufacturing for the production of Ti-6Al-4V knee implant: A life cycle approach
    This paper explores whether additive manufacturing (AM) is more environmentally friendly than conventional manufacturing (CM) for the production of medical implants. The environmental impact of manufacturing the femoral component of a knee implant made from Ti-6Al-4V material was investigated. One AM method (electron beam melting (EBM)) and one CM method (milling) were analysed for the production of this part. A cradle to grave life cycle approach was utilised for each manufacturing method focusing on the primary energy consumption (PEC) and CO2 emissions. It was found that when the entire life cycle of the implant is considered, EBM is a more environmentally friendly method of producing the implant. This is mainly due to the complex geometry of the implant. For complex geometries, lots of waste material is generated using CM processes, whereas much less material is wasted using the AM process. The production of the raw material, Ti-6Al-4V, has a high PEC and associated CO2 emissions, so the amount of required raw material for either manufacturing method is the most important factor from an environmental perspective. Finally, the article presents the plans for future work and some remarks are concluded.
    Scopus© Citations 30  413