16 research outputs found

    Introduction to innovation analytics

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    Innovation analytics (IA) is an emerging paradigm that integrates advances in the data engineering field, innovation field, and artificial intelligence field to support and manage the entire life cycle of a product and pro-cesses. In this chapter, we have identified several possibilities where ana-lytics can help in innovation. First, we aim to explain using a few cases how analytics can help in innovating new products to the market specifi-cally through collaborative engagement of designers and data. Second, we will explain the use of artificial intelligence (AI) techniques in the manu-facturing context, which progresses at different levels, i.e., from process, function to function interaction, and factory-level innovations

    A TSP-GA multi-objective algorithm for flow-shop scheduling

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