Value co-creative manufacturing methodology with IoT-based smart factory for mass customisation

Kuik, SS ORCiD: 0000-0002-8179-8688The 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. © Springer Nature Singapore Pte Ltd. 2017

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. © Springer Nature Singapore Pte Ltd. 2017

A Research on Optimization Method for Integrating Component Selection and Production Scheduling under Mass Customization

This paper proposes a method which is to achieve an optimal production scheduling and component selection simultaneously using an autonomous distributed technique under mass customization environment. The proposal method decides a production scheduling and component selection to aim minimizing the delay of acceptable due date. The proposal method uses a combinatorial auction for modelling negotiation between manufacturer and customers toward an optimal plan. Numerical examples are then discussed to demonstrate its suitability in obtaining an optimal plan under negotiations between manufacturer and customers. © 2016 The Authors

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

© 2016 IEEE. 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. 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

A research on optimization method for integrating component selection and production scheduling under mass customization

This paper proposes a method which is to achieve an optimal production scheduling and component selection simultaneously using an autonomous distributed technique under mass customization environment. The proposal method decides a production scheduling and component selection to aim minimizing the delay of acceptable due date. The proposal method uses a combinatorial auction for modelling negotiation between manufacturer and customers toward an optimal plan. Numerical examples are then discussed to demonstrate its suitability in obtaining an optimal plan under negotiations between manufacturer and customers. © 2016 The Authors

Value co-creative manufacturing with IoT-based smart factory for mass customization

© 2017, Fuji Technology Press. All rights reserved. The future of productivity and growth in highly customized production environments has attracted considerable attention from numerous practitioners. Herein, we present an innovative methodology for value co-creative manufacturing with an Internet of Things (IoT)-based smart factory for mass-customized rubber products in a real-time scenario. For implementing the proposed system, a three-layer business-oriented model is developed to offer the maximum co-creative value in three-dimensional reactive-printing technology development and utilize cloud computing and cyber-physical systems in customized manufacturing and product design. A Japanese case application is examined to demonstrate the usefulness and flexibility of the proposed system

Chin Morphology in Relation to the Skeletal Pattern, Age, Gender, and Ethnicity

Chin morphology is visually impactful and significantly influences harmonious facial appearance. Therefore, it is important to know the morphological characteristics of the chin in relation to gender and skeletal pattern when performing an orthodontic and surgical orthognathic treatment. This study aimed to examine the relationship between chin size, skeletal pattern, age, gender, and ethnicity. In this study, cone-beam computed tomography images of 208 participants (males: 90, females: 118; 63 Koreans and 145 Egyptians), aged 18 years and older, were used to evaluate the size of the chin in linear dimension, volume, and skeletal pattern. The larger the vertical skeletal pattern, the larger the chin volume and the smaller the width (p p p p < 0.01). Chin volume was related to population, sex, anteroposterior skeletal pattern, and vertical skeletal pattern, indicating the combined effects of various factors

Value Co-Creative Manufacturing with IoT-Based Smart Factory for Mass Customization

© 2017, Fuji Technology Press. All rights reserved. The future of productivity and growth in highly customized production environments has attracted considerable attention from numerous practitioners. Herein, we present an innovative methodology for value co-creative manufacturing with an Internet of Things (IoT)-based smart factory for mass-customized rubber products in a real-time scenario. For implementing the proposed system, a three-layer business-oriented model is developed to offer the maximum co-creative value in three-dimensional reactive-printing technology development and utilize cloud computing and cyber-physical systems in customized manufacturing and product design. A Japanese case application is examined to demonstrate the usefulness and flexibility of the proposed system

Chin Morphology in Relation to the Skeletal Pattern, Age, Gender, and Ethnicity

Chin morphology is visually impactful and significantly influences harmonious facial appearance. Therefore, it is important to know the morphological characteristics of the chin in relation to gender and skeletal pattern when performing an orthodontic and surgical orthognathic treatment. This study aimed to examine the relationship between chin size, skeletal pattern, age, gender, and ethnicity. In this study, cone-beam computed tomography images of 208 participants (males: 90, females: 118; 63 Koreans and 145 Egyptians), aged 18 years and older, were used to evaluate the size of the chin in linear dimension, volume, and skeletal pattern. The larger the vertical skeletal pattern, the larger the chin volume and the smaller the width (p &lt; 0.01). In the anteroposterior skeletal pattern, Class III showed a larger volume than that of Class II and Class I (p &lt; 0.01). There was no significant association between age and any of the chin-related measurements. Regarding gender, all measurements of chins were larger for men than for women (p &lt; 0.01). In terms of ethnicity, Koreans had larger chin volumes than Egyptians p &lt; 0.01). Chin volume was related to population, sex, anteroposterior skeletal pattern, and vertical skeletal pattern, indicating the combined effects of various factors