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

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Atıf İçin Kopyala

Kuo T., Chiu M., Huang J., Chang C., Gupta S., Akmad G.

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, cilt.28, sa.1, ss.130-147, 2021 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 28 Sayı: 1
• Basım Tarihi: 2021
• Doi Numarası: 10.23055/ijietap.2021.28.1.5205
• Dergi Adı: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex
• Sayfa Sayıları: ss.130-147
• Anahtar Kelimeler: Smart Product Service System, Text Analytics, BERT, Service Blueprint, OF-THE-ART, SCALE, FIRMS
• Kocaeli Üniversitesi Adresli: Evet

Özet

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.