DEVELOPMENT OF A DATA-DRIVEN SMART PRODUCT SERVICE SYSTEM FRAMEWORK UTILIZING UNSUPERVISED LEARNING MODEL

Authors

  • Ming-Chuan Chiu National Tsing Hua University, Taiwan
  • Cheng-Yen Chang National Tsing Hua University, Taiwan
  • Tsai-Chi Kuo
  • Jih-Hung Huang
  • Saraj Gupta
  • Gulsen Akman

DOI:

https://doi.org/10.23055/ijietap.2021.28.1.5205

Keywords:

Smart Product Service System, Text Analytics, Machine Learning, Service Blueprint

Abstract

Many studies have addressed traditional product-service system (PSS) design, but a combination of data-oriented PSS with emerging technologies to achieve a Smart PSS that can respond to a continuously changing environment remains absent. Therefore, this study proposes a systematic framework that utilizes text analytic techniques to capture PSS via a data-oriented service blueprint for use in identifying improvement opportunities and proposes an improvement plan merging a PSS design process and Bidirectional Encoder Representations from Transformers (BERT), which can handle context-sensitive services with smart and connected products in a dynamic environment. By utilizing a data-driven service blueprint and unsurprised learning model, a Smart PSS is transformed. Experiment shows this tourism recommendation generates enhanced service quality and customer satisfaction.

Author Biography

Ming-Chuan Chiu, National Tsing Hua University, Taiwan

Ming-Chuan Chiu is an associate professor in the Department of Industrial Engineering and Engineering Management at National Tsing-Hua University in Taiwan where he obtained his BS and MS degrees. IE of NTHU is rank #1 IE department in Taiwan. He received his PhD degree in the Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests focus on design for X factors, supply chain and product design integration, and service innovation. The aim of the above interests is to solve problems in product, service, and system development stage using systems thinking. 

Published

2021-10-12

How to Cite

Chiu, M.-C., Chang, C.-Y., Kuo, T.-C., Huang, J.-H., Gupta, S., & Akman, G. (2021). DEVELOPMENT OF A DATA-DRIVEN SMART PRODUCT SERVICE SYSTEM FRAMEWORK UTILIZING UNSUPERVISED LEARNING MODEL. International Journal of Industrial Engineering: Theory, Applications and Practice, 28(1). https://doi.org/10.23055/ijietap.2021.28.1.5205

Issue

Section

Advances in Production Management System 2018