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Generate and Test for Formulated Product Variants With Information Extraction and an In-Silico Model
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Author(s): Sagar Sunkle (TCS Research, Tata Consultancy Services, India), Deepak Jain (TCS Research, Tata Consultancy Services, India), Krati Saxena (TCS Research, Tata Consultancy Services, India), Ashwini Patil (TCS Research, Tata Consultancy Services, India), Rinu Chacko (TCS Research, Tata Consultancy Services, India)and Beena Rai (TCS Research, Tata Consultancy Services, India)
Copyright: 2020
Pages: 28
Source title:
Advanced Digital Architectures for Model-Driven Adaptive Enterprises
Source Author(s)/Editor(s): Vinay Kulkarni (TCS Research, Tata Consultancy Services, India), Sreedhar Reddy (TCS Research, Tata Consultancy Services, India), Tony Clark (Aston University, Birmingham, UK)and Balbir S. Barn (Middlesex University, London, UK)
DOI: 10.4018/978-1-7998-0108-5.ch010
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Abstract
The chemical industry is expanding its focus from process-centered products to product-centered products. Of these, consumer chemical products and other similar formulated products are especially ubiquitous. State of the art in the formulated product design relies heavily on experts and their expertise, leading to extended time to market and increased costs. The authors show that it is possible to construct a graph database of various details of products from textual sources, both offline and online. Similar to the “generate and test” approach, they propose that it is possible to generate feasible design variants of a given type of formulated product using the database so constructed. If they restrict the set of products that are applied to the skin, they propose to test the generated design variants using an in-silico model. Even though this chapter is an account of the work in progress, the authors believe the gains they can obtain from a readily accessible database and its integration with an in-silico model are substantial.
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