Social manufacturing as a sustainable paradigm for mass individualization

Abstract

With increasing product personalization and open innovation, the manufacturing paradigm has been transforming to a more decentralized and socialized one. Social manufacturing was proposed as a new paradigm for industry. It extends the crowdsourcing idea to the manufacturing area. By establishing cyber–physical–social connection via decentralized social media, various communities can be formed as complex, dynamic autonomous systems to co-create customized and personalized products and services. This article presents the concept and characteristics of social manufacturing including distributed, adaptive, and self-organization. It also addresses social intelligence in proactive decision-making for organization of socialized resources and producers in the life-cycle of product.

Free and Open Source 3-D Model Customizer for Websites to Democratize Design with OpenSCAD

“…3-D printing is being used by ordinary people who have little technical knowledge to create their own custom products [55]. This is mass individualization [56], which provides the largest benefit of distributed manufacturing; the ability for users to customize products for their needs. This study demonstrated the ability to do this with the customization of EBPs.…”

Socializing Value Creation Through Practices of Making Clothing Differently: A Case Study of a Makershop With Diverse Locals

“…This article is concerned with the re-combination of existing actors with new ones as a way to contribute different kinds of human (social and cultural) capital to making processes, using local resources and skills wisely and shortening the value chain (Fuad-Luke, 2011). Moreover, the term social manufacturing is referred to as a democratic approach to opening the design and manufacturing phase to everyone (Shang et al, 2013) and it has mainly been used so far in relation to digitally-enabled personal fabrication, or mass customisation and distributed manufacturing (Leng, Ding, Gu, and Koren, 2016;Hämäläinen and Karjalainen, 2017). Instead, in this article we prefer using the term social making to emphasise the 'social' aspect of collaboration and interaction at a local level, through alternative design strategies based on analogical, small-scale and local production systems.…”

Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system

“…A systematic designing of AFMS suffers from three major problems. First, since the mass individualisation paradigm deeply affects manufacturing logic (Gao et al 2011;Jiang et al 2016), the flexibility of AFMS design has to be improved so downtime and delay can be prevented (Yang et al 2015). Second, the designers need to find optimal configurations by evaluating multiple design variables (e.g., equipment selection, control scheme and WIP flow) and considering different forms of manufacturing uncertainties (e.g., machine breakdowns, processing times and product demands).…”