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How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?

Mithas, Sunil; Chen, Zhi-long; Saldanha, Terence J. V.; … - In: Production and operations management : the flagship … 31 (2022) 12, pp. 4475-4487

Persistent link: https://www.econbiz.de/10014265868

Enriching the functionally graded materials (FGM) ontology for digital manufacturing

Munira Mohd Ali; Yang, Ruoyu; Zhang, Binbin; Furini, … - In: International journal of production research 59 (2021) 18, pp. 5540-5557

Persistent link: https://www.econbiz.de/10012625928

Regulating the digital economy : are we moving towards a "winwin" or a "lose-lose"?

Gehl Sampath, Padmashree - 2018

Persistent link: https://www.econbiz.de/10011792756

Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0...

Valaskova, Katarina; Nagy, Marek; Grecu, Gheorghe - In: Oeconomia Copernicana 15 (2024) 1, pp. 95-143

Persistent link: https://www.econbiz.de/10014521302

Integration between Lean, Six Sigma and Industry 4.0 technologies

Kumar, Pramod; Bhadu, Jagdish; Singh, Dharmendra; … - In: International journal of six sigma and competitive … 13 (2021) 1/3, pp. 19-37

Persistent link: https://www.econbiz.de/10012800893

Driving factors of digital transformation for manufacturing enterprises : a multi-case study from China

Wang, Yanyu; Su, Xin - In: International journal of technology management : IJTM 87 (2021) 2/4, pp. 229-253

Persistent link: https://www.econbiz.de/10012888107

Rethinking Industry 4.0 : is there life beyond manufacturing?

Ferrás-Hernández, Xavier - In: International journal of business environment : IJBE 11 (2020) 4, pp. 404-416

Persistent link: https://www.econbiz.de/10012506337

Development of sustainability performance measurement framework for measuring complex sustainability impacts in the manufacturing industry

Janmontree, Jettarat; Zadek, Hartmut - In: Data science in maritime and city logistics : …, (pp. 3-31). 2020

Purpose: This research aims to develop a framework of sustainability performance measurement and to propose sustainability impact criteria that can be used to measure complex sustainability impacts in the manufacturing industry. Methodology: Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) and the...

Persistent link: https://www.econbiz.de/10012388617

Digital transformation in supply chains : assessing the spillover effects on midstream firm innovation

Wei, Jiangying; Zhang, Xiuwu; Tamamine, Takashi - In: Journal of innovation & knowledge : JIK 9 (2024) 2, pp. 1-11

Amidst rapidly evolving market conditions, relying solely on internal information and knowledge for innovation has … proven inadequate. The emergence of the digital economy injected renewed vitality into enterprise innovation. However … of partners' digital transition on enterprises' innovation performance. From the perspective of supply chain spillovers …

Persistent link: https://www.econbiz.de/10014581150

Federated explainable artificial intelligence (fXAI) : a digital manufacturing perspective

Kusiak, Andrew - In: International journal of production research 62 (2024) 1/2, pp. 171-182

Persistent link: https://www.econbiz.de/10014454722

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