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. 

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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

Vol. 28 No. 1 (2021)

Section

Advances in Production Management System 2018

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