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Sustainable Supply Chains in Industrial Engineering and Management

dc.contributor.editorLiu, Conghu
dc.contributor.editorSong, Xiaoqian
dc.contributor.editorLiu, Zhi
dc.contributor.editorWei, Fangfang
dc.date.accessioned2024-01-08T14:49:04Z
dc.date.available2024-01-08T14:49:04Z
dc.date.issued2023
dc.identifierONIX_20240108_9783036597683_76
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/132417
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studiesen_US
dc.subject.othercoordination degree model
dc.subject.otherlogistics industry
dc.subject.otherdigital economy
dc.subject.otherindustrial integration
dc.subject.otherregional IEE system
dc.subject.othermultimodel decision
dc.subject.othercoupling coordination
dc.subject.otherdecision support methods
dc.subject.otheronline retailer
dc.subject.otherconsumer purchase behavior
dc.subject.otherreturn strategy
dc.subject.otherreturn insurance
dc.subject.othersupply chain management
dc.subject.otherreal-time
dc.subject.otherhome delivery
dc.subject.otherbusiness modeling
dc.subject.othere-commerce
dc.subject.othertime window
dc.subject.otherlightweight
dc.subject.othercarbon emissions
dc.subject.otherlow carbon benefits
dc.subject.otheroptimization design
dc.subject.otherwheel hub
dc.subject.othersubsidy policy
dc.subject.otherremanufacturing industry
dc.subject.otherdonation strategy
dc.subject.otherprisoner’s dilemma
dc.subject.otherwater-efficient products
dc.subject.otherquality improvement
dc.subject.otherDMAIC
dc.subject.othersmart water closets
dc.subject.othercarbon abatement
dc.subject.othercost sharing
dc.subject.othercapital constraint
dc.subject.otherenvironmental externality
dc.subject.otherinnovative products
dc.subject.otherremanufacturing
dc.subject.otherdifferential game
dc.subject.otherbass model
dc.subject.otherstrategic emerging industries
dc.subject.otherindustrial structure
dc.subject.otheremployment effect
dc.subject.otherartificial intelligence hardware
dc.subject.otherdata classification
dc.subject.otherdeep learning
dc.subject.otheremission control
dc.subject.otherindustrial manufacturing
dc.subject.otherbilateral matching decision making
dc.subject.otherinterval-valued hesitant fuzzy information
dc.subject.otherbidirectional projection technology
dc.subject.otherorganizational quality-specific immunity
dc.subject.otherautomotive supply chain disruption
dc.subject.othersupply chain resilience
dc.subject.otherdisruption risk
dc.subject.otherbibliometric analysis
dc.subject.otherco-citation analysis
dc.subject.otherNGU
dc.subject.otherself-attention
dc.subject.otherCNN
dc.subject.othersilver prediction
dc.subject.otherdata-driven
dc.subject.othercomposite systems
dc.subject.othersynergy
dc.subject.othersustainability
dc.subject.otherblockchain
dc.subject.othercollection channel
dc.subject.otherrecycling strategies
dc.subject.otheruncertain demand
dc.subject.othergame theory
dc.subject.otherfederated learning
dc.subject.otherintelligent manufacturing
dc.subject.othersustainable energy
dc.subject.otherlow-carbon strategy
dc.subject.otherlivestreaming marketing mode
dc.subject.otherconsumer low-carbon preference
dc.subject.otherlevel of low-carbon promotion effort
dc.subject.otherpower structures
dc.subject.othern/a
dc.titleSustainable Supply Chains in Industrial Engineering and Management
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-9769-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036597683
oapen.relation.isbn9783036597690
oapen.pages386
oapen.place.publicationBasel


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