Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram
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DOI: 10.1007/s10845-018-1395-x
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References listed on IDEAS
- Steven Saar & Valerie Thomas, 2002. "Toward Trash That Thinks: Product Tags for Environmental Management," Journal of Industrial Ecology, Yale University, vol. 6(2), pages 133-146, April.
- Rochdi Sarraj & Eric Ballot & Shenle Pan & Driss Hakimi & Benoit Montreuil, 2014. "Interconnected logistic networks and protocols: simulation-based efficiency assessment," Post-Print hal-01112138, HAL.
- Andrew Kusiak, 2017. "Smart manufacturing must embrace big data," Nature, Nature, vol. 544(7648), pages 23-25, April.
- Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
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Cited by:
- Qingfei Tong & Xinguo Ming & Xianyu Zhang, 2023. "Construction of Sustainable Digital Factory for Automated Warehouse Based on Integration of ERP and WMS," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
- Yicong Gao & Shanhe Lou & Hao Zheng & Jianrong Tan, 2023. "A data-driven method of selective disassembly planning at end-of-life under uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 565-585, February.
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Keywords
Big data; Product lifecycle management; Customer requirements discernment; Electroencephalogram; Intuitionistic fuzzy sets;All these keywords.
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