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Productivity enhancement in Indian auto component manufacturing supply chain with IoT using neural networks

Tushar D. Bhoite

Rajesh B. Buktar

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Abstract: Paper aims The research aims to investigating the impact of implementing Internet of Things (IoT) using Bayesian networks in the supply chain of manufacturing of Indian auto components enterprises to achieve enhanced productivity and reduced failure rates.Ori

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DOI: https://doi.org/10.1590/0103-6513.20240047

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Human-centric process improvement through digital transformation: contributions and limitations

Camilla Buttura Chrusciak

Anderson Luis Szejka

Osiris Canciglieri

Jones Luís Schaefer

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Abstract: Paper aims This study investigates integrating digital transformation, human factors, business process management, and emerging technologies to improve organisational efficiency and employee well-being. The research aims to develop a conceptual model that opt

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DOI: https://doi.org/10.1590/0103-6513.20240109

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Assessing sugarcane production sustainability in Mozambique: integrating the SustenAgro Index approach with the Entropy Weight Method

Gabriel Chico Viegas

Ana Marta-Costa

Rui Fragoso

Edgar Cambaza

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Abstract: Paper aims Assess the sustainability of sugarcane production in Sofala Province, Mozambique, using the SustenAgro Index approach and the Entropy Weight Method.Originality This paper provides several original contributions. First it enhances our understanding

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DOI: https://doi.org/10.1590/0103-6513.20240124

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