Strategie innovative per la logistica: il valore del kitting e assembly nel settore idrotermosanitario
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- Ing-Marie Gren & Andreas Brutemark & Annika K. Jägerbrand & Jennie Barthel Svedén, 2020. "Costs of air pollutants from shipping: a meta-regression analysis," Transport Reviews, Taylor & Francis Journals, vol. 40(4), pages 411-428, July.
- Bedoui, Adel & Lazar, Nicole A., 2020. "Bayesian empirical likelihood for ridge and lasso regressions," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
- Fabian Lorson & Andreas Fügener & Alexander Hübner, 2023. "New team mates in the warehouse: Human interactions with automated and robotized systems," IISE Transactions, Taylor & Francis Journals, vol. 55(5), pages 536-553, May.
- Johannes Bracher & Evan L Ray & Tilmann Gneiting & Nicholas G Reich, 2021. "Evaluating epidemic forecasts in an interval format," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-15, February.
- Wu, Jinran & Wang, You-Gan & Tian, Yu-Chu & Burrage, Kevin & Cao, Taoyun, 2021. "Support vector regression with asymmetric loss for optimal electric load forecasting," Energy, Elsevier, vol. 223(C).
- Mohamed S. Abdalzaher & Moez Krichen & Derya Yiltas-Kaplan & Imed Ben Dhaou & Wilfried Yves Hamilton Adoni, 2023. "Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey," Sustainability, MDPI, vol. 15(15), pages 1-38, July.
- Valerio Elia & Maria Grazia Gnoni & Fabiana Tornese, 2024. "On-Demand Warehousing Platforms: Evolution and Trend Analysis of an Industrial Sharing Economy Model," Logistics, MDPI, vol. 8(4), pages 1-16, September.
- Antonio Casimiro Caputo & Pacifico Marcello Pelagagge & Paolo Salini, 2021. "A model for planning and economic comparison of manual and automated kitting systems," International Journal of Production Research, Taylor & Francis Journals, vol. 59(3), pages 885-908, February.
- Arkadiusz Kawa, 2021. "Fulfilment as Logistics Support for E-Tailers: An Empirical Studies," Sustainability, MDPI, vol. 13(11), pages 1-11, May.
- Luay Jum’a & Muath Esam Basheer, 2023. "Analysis of Warehouse Value-Added Services Using Pareto as a Quality Tool: A Case Study of Third-Party Logistics Service Provider," Administrative Sciences, MDPI, vol. 13(2), pages 1-23, February.
- Yannick Rothacher & Carolin Strobl, 2024. "Identifying Informative Predictor Variables With Random Forests," Journal of Educational and Behavioral Statistics, , vol. 49(4), pages 595-629, August.
- Yang, Yu-Chen & Lin, Tsung-I & Castro, Luis M. & Wang, Wan-Lun, 2020. "Extending finite mixtures of t linear mixed-effects models with concomitant covariates," Computational Statistics & Data Analysis, Elsevier, vol. 148(C).
- Eduard Klundt & Neil Towers & Kamal Bechkoum, 2024. "Lean and Agile Supply Strategies in Distribution Centres to Deliver Value-Added Services (VAS)," Logistics, MDPI, vol. 8(3), pages 1-20, July.
- Zhang, Yuyang & Schnell, Patrick & Song, Chi & Huang, Bin & Lu, Bo, 2021. "Subgroup causal effect identification and estimation via matching tree," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).
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More about this item
Keywords
Kitting; Assembly; Idrotermosanitario; Machine Learning Regressions; Machine Learning Clustering.;All these keywords.
JEL classification:
- L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
- L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
- L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
- L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
- L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
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