Sustainable Supply Chains in Industrial Engineering and Management

doi:10.3390/books978-3-0365-9769-0

Download Url(s)

https://mdpi.com/books/pdfview/book/8453

Contributor(s)

Liu, Conghu (editor)

Song, Xiaoqian (editor)

Liu, Zhi (editor)

Wei, Fangfang (editor)

Language

English

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Abstract

The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.

URI

https://directory.doabooks.org/handle/20.500.12854/132417

Keywords

coordination degree model; logistics industry; digital economy; industrial integration; regional IEE system; multimodel decision; coupling coordination; decision support methods; online retailer; consumer purchase behavior; return strategy; return insurance; supply chain management; real-time; home delivery; business modeling; e-commerce; time window; lightweight; carbon emissions; low carbon benefits; optimization design; wheel hub; subsidy policy; remanufacturing industry; donation strategy; prisoner’s dilemma; water-efficient products; quality improvement; DMAIC; smart water closets; carbon abatement; cost sharing; capital constraint; environmental externality; innovative products; remanufacturing; differential game; bass model; strategic emerging industries; industrial structure; employment effect; artificial intelligence hardware; data classification; deep learning; emission control; industrial manufacturing; bilateral matching decision making; interval-valued hesitant fuzzy information; bidirectional projection technology; organizational quality-specific immunity; automotive supply chain disruption; supply chain resilience; disruption risk; bibliometric analysis; co-citation analysis; NGU; self-attention; CNN; silver prediction; data-driven; composite systems; synergy; sustainability; blockchain; collection channel; recycling strategies; uncertain demand; game theory; federated learning; intelligent manufacturing; sustainable energy; low-carbon strategy; livestreaming marketing mode; consumer low-carbon preference; level of low-carbon promotion effort; power structures; n/a