Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study |
| |
| Affiliation: | 1. Department of Mechanical and Mechatronics Engineering, The University of Auckland, New Zealand;2. Department of Industrial and Manufacturing Systems, The University of Hong Kong, Hong Kong;1. Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, 1515 St Catherine St W., Montreal, Quebec, H3G 1M8, Canada;2. Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Canada;1. Producer Service Development Innovation Center of Shanghai Jiao Tong University, Shanghai Research Center for Industrial Informatics, Shanghai Key Lab of Advanced Manufacturing Environment, Department of Industrial Engineering & Management, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai City 200240, PR China;2. School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai City 200240, PR China;1. School of Business Administration, Faculty of Economics and Management, East China Normal University, Shanghai 200062, China;2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China;3. Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom |
| |
| Abstract: | The Fourth Industrial Revolution (Industry 4.0) leads to mass personalisation as an emerging manufacturing paradigm. Mass personalisation focuses on uniquely made products to individuals at scale. Global challenges encourage mass personalisation manufacturing with efficiency competitive to mass production. Driven by individualisation as a trend and enabled by increasing digitalisation, mass personalisation can go beyond today’s mass customisation. This paper aims to introduce Mass Personalisation as a Service (MPaaS) to address unique and complex requirements at scale by harnessing Industry 4.0 technologies, including Internet of Things, Additive Manufacturing, Big Data, Cloud Manufacturing, Digital Twin, and Blockchain. A case study for the implementation of MPaaS in personalised face masks is presented. The workforce with constant exposure to contaminants requires personal protective equipment (PPE), such as facemasks, for longer hours resulting in pressure-related ulcers. This prolonged use of PPE highlights the importance of personalisation to avoid ulcers and other related health concerns. Most studies have used Additive Manufacturing for individualisation and cloud capabilities for large-scale manufacturing. This study develops a framework and mathematical model to demonstrate the capability of the proposed solution to address one of the most critical challenges by making personalised face masks as an essential PPE in the critical industrial environment. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
