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240202 ||| eng |
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|a 9783036597690
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|a 9783036597683
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|a books978-3-0365-9769-0
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|a Liu, Conghu
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| 245 |
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|a Sustainable Supply Chains in Industrial Engineering and Management
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (386 p.)
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| 653 |
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|a donation strategy
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| 653 |
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|a coordination degree model
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| 653 |
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|a wheel hub
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| 653 |
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|a consumer low-carbon preference
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| 653 |
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|a environmental externality
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| 653 |
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|a low-carbon strategy
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| 653 |
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|a supply chain management
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| 653 |
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|a co-citation analysis
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| 653 |
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|a disruption risk
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| 653 |
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|a prisoner's dilemma
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| 653 |
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|a n/a
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| 653 |
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|a carbon emissions
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| 653 |
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|a water-efficient products
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| 653 |
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|a capital constraint
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| 653 |
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|a multimodel decision
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| 653 |
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|a deep learning
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| 653 |
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|a coupling coordination
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| 653 |
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|a synergy
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a collection channel
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| 653 |
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|a artificial intelligence hardware
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| 653 |
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|a innovative products
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| 653 |
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|a silver prediction
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| 653 |
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|a industrial structure
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| 653 |
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|a optimization design
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| 653 |
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|a emission control
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| 653 |
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|a remanufacturing
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| 653 |
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|a time window
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| 653 |
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|a business modeling
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| 653 |
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|a organizational quality-specific immunity
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| 653 |
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|a consumer purchase behavior
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a data-driven
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| 653 |
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|a bibliometric analysis
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| 653 |
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|a industrial integration
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| 653 |
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|a remanufacturing industry
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| 653 |
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|a NGU
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| 653 |
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|a low carbon benefits
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| 653 |
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|a data classification
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| 653 |
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|a logistics industry
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| 653 |
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|a smart water closets
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| 653 |
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|a sustainable energy
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| 653 |
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|a real-time
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| 653 |
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|a composite systems
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| 653 |
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|a carbon abatement
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| 653 |
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|a return insurance
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| 653 |
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|a strategic emerging industries
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| 653 |
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|a regional IEE system
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| 653 |
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|a intelligent manufacturing
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| 653 |
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|a self-attention
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| 653 |
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|a game theory
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| 653 |
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|a recycling strategies
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| 653 |
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|a level of low-carbon promotion effort
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| 653 |
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|a bilateral matching decision making
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| 653 |
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|a quality improvement
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| 653 |
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|a lightweight
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| 653 |
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|a blockchain
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| 653 |
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|a CNN
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| 653 |
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|a Industry and industrial studies / bicssc
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| 653 |
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|a uncertain demand
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| 653 |
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|a bass model
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| 653 |
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|a home delivery
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| 653 |
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|a supply chain resilience
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| 653 |
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|a differential game
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| 653 |
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|a DMAIC
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| 653 |
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|a online retailer
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| 653 |
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|a e-commerce
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| 653 |
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|a interval-valued hesitant fuzzy information
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| 653 |
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|a sustainability
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| 653 |
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|a power structures
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| 653 |
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|a livestreaming marketing mode
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| 653 |
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|a subsidy policy
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| 653 |
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|a employment effect
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| 653 |
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|a automotive supply chain disruption
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| 653 |
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|a digital economy
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| 653 |
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|a bidirectional projection technology
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| 653 |
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|a federated learning
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| 653 |
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|a industrial manufacturing
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| 653 |
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|a cost sharing
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| 653 |
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|a decision support methods
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| 653 |
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|a return strategy
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| 700 |
1 |
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|a Song, Xiaoqian
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| 700 |
1 |
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|a Liu, Zhi
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| 700 |
1 |
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|a Wei, Fangfang
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
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|a 10.3390/books978-3-0365-9769-0
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/8453
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
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|u https://directory.doabooks.org/handle/20.500.12854/132417
|z DOAB: description of the publication
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|a 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.
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