Abstract
Recent prevalence in production and operations management to transform various industrial processes using cloud innovation, Radio Frequency Identifiers (RFID), and sensor technologies, to achieve green supply chain while meeting consumers' expectations receives appraisal over conventional methods. The new paradigm of energy efficiency and emission control initiative, and the expectations of businesses to engage in sustainable practices to compete favorably in the emerging fourth industrial revolution, fueled by the internet of things and its applications to drive industrial operations in the future - Industrial Internet of Things (IIoT) cannot be overemphasized. In this paper, the authors discuss technological approach, benefits, and barriers towards achieving the Green Supply Chain Management (GSCM) as a sustainable precursor. The focus is on consumers' tendency to influence the market mix and a company's desire to meet customers' satisfaction. Hence, the interplay of technology, its improvement, and applications receive insights. We evaluate measures which are practicable in a general industrial perspective, capable of reducing anthropogenic effects while increasing productivity. The researchers juxtapose the changing trend of technology and infer that businesses must become conscious of environmental impacts and use information technology and energy conservative techniques to remain relevant in the future.
Original language | English |
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Pages (from-to) | 786-792 |
Number of pages | 7 |
Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
Volume | 2018 |
Issue number | SEP |
Publication status | Published - 2018 |
Event | 3rd North American IEOM Conference. IEOM 2018 - Duration: 27 Sept 2018 → 29 Sept 2018 |
Keywords
- Energy efficiency
- Green Supply Chain Management
- Industrial Internet of Things
- RFID
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering