Shota Suginouchi

A study on value co-creative design and manufacturing system for tailor-made rubber shoes production — Construction of value co-creative smart factory

With the advancement in “Internet of Things (IoT)”, a smart manufacturing system has received much attention by worldwide manufacturers. In our project, the value co-creative design and manufacturing system for tailor-made rubber shoes using 3D reactive printer is proposed. This proposed system is basically constructed based on our proposed value co-creative methodology for mass customization scenario. In the proposed system, the delight running shoes are designed and produced by taking the real-time input measurements from customers, such as physical data, user comfortability, and etc. These measurements are then used for making tailor-made shoes and the production scheduling under IoT environment is also studied. In the smart factory, RFID tags are also installed and served as tracking devices when monitoring each operating processes along supply chains, and the multi-agent systems are used to adjust differential processing orders in accordance with delivery and distribution deadline and the conditions of machines and works.

Value Co-creative Manufacturing Methodology with IoT-Based Smart Factory for Mass Customisation

The future of productivity and growth in a highly customized production environment has received much attention by practitioners. This paper presents an innovative methodology of value co-creative manufacturing with Internet of Things (IoT)-based smart factories for mass customized rubber products in a real-time scenario. To implement the proposed system design, a three-layered business oriented model is developed to offer maximum value co-creation for 3D printing technology development by integrating cloud computing and Cyber Physical Systems (CPS) related to computational social science in customized manufacturing and product design. A Japanese case application is presented to demonstrate its usefulness and flexibility for the proposed system design including a computational social scientific approach.