A Knowledge-Based Decision-Making Framework for the Design of Manufacturing Networks for Custom-Made Products

Abstract

Part 2: Knowledge Discovery and SharingInternational audienceEfficient design of manufacturing networks is paramount for a sustainable growth. The establishment of mass customization and the transition to personalization complicates design activities and leads to vast amounts of unexploited data. This research work aims to exploit existing knowledge for enhancing decision-making during the initial manufacturing networks design, which carry out custom orders of industrial equipment. A method developed into software is proposed, comprising a Genetic Algorithm with knowledge-enriched operators and an intelligent initialization algorithm that exploits existing planning knowledge. The validation of the method is performed using data from a high-precision mold-making manufacturer and its network of first-tier suppliers

Development of methods and tools for the design and operation of manufacturing networks for mass customisation

“…An extended study on more than 900 firms depicted that more than 80% of them were established with the purpose of offering customised products, while the majority made these offering using online means 16 . In parallel, 14 www.3daycar.com 15 http://ec.europa.eu/enterprise/policies/innovation/policy/business-innovation-observatory/files/case-studies/03-amt-mass-customisation_en.pdf 16 http://www.innovationmanagement.se/2012/04/16/part-2-the-market-for-mass-customisation-today/ the number of online purchases have increased and recent surveys show, that 89% of the buyers prefer shopping online to in-store shopping (Knight 2007). Web-based and e-Commerce systems have been implemented and have proved to be very effective in capturing the pulse of the market (Helms et al 2008).…”