Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM

Author:

Sindiramutty Siva Raja1ORCID,Jhanjhi NZ1ORCID,Tan Chong Eng2ORCID,Khan Navid Ali1,Jazri Husin1ORCID,Gaur Loveleen3ORCID

Affiliation:

1. Taylor's University, Malaysia

2. Universiti Malaysia Sarawak, Malaysia

3. University of the South Pacific, Fiji

Abstract

The rapid advancement of Industry 4.0 technologies has ushered in a new era of supply chain management (SCM) that places sustainability at its core. This chapter goes deep into the critical intersection of sustainability metrics and measurement in Industry 4.0-enabled SCM, exploring the dynamic landscape where cutting-edge technology meets environmental, social, and economic responsibility. Beginning with an introduction to Industry 4.0's transformative role in SCM, the authors elucidate the importance of sustainability metrics in this context. The research's scope and objectives are outlined, emphasizing the need to decipher the intricacies of sustainability measurement in an Industry 4.0 ecosystem. The authors provide a comprehensive elucidation of key concepts, definitions, and the unique contributions of this research endeavour. A central focus of this chapter is the alignment of Industry 4.0 SCM with the United Nations' Sustainable Development Goals (SDGs), illuminating how emerging technologies can act as catalysts for achieving these global objectives.

Publisher

IGI Global

Reference226 articles.

1. Remote Health Monitoring Using IoT-Based Smart Wireless Body Area Network

2. Reducing waste management challenges: Empirical assessment of waste sorting intention among corporate employees in Ghana

3. Examining Sustainable Supply Chain Management (SSCM) Performance in the Palm Oil Industry with the Triple Bottom Line Approach

4. Ahmed, A. (2023). Artificial Intelligence’s Integration in Supply Chain Management: A Comprehensive Review. ResearchGate. https://www.researchgate.net/publication/372965863_Artificial_Intelligence%27s_Integration_in_Supply_Chain_Management_A_Comprehensive_Review

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