Scope for Machine Learning in Digital Manufacturing. - Martin Baumers; Ender Ozcan (CoRR, 2016)

Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation. - Martin Baumers; Luca Beltrametti; Angelo Gasparre; Richard J. M. Hague (Int. J. Prod. Res., 2017)

To kit or not to kit: Analysing the value of model-based kitting for additive manufacturing. - Siavash H. Khajavi; Martin Baumers; Jan Holmström; Ender Özcan; Jason A. D. Atkin; Warren G. Jackson; Wenwen Li 003 (Comput. Ind., 2018)

Finding Design Opportunities for Smartness in Consumer Packaged Goods. - Gustavo Berumen; Joel E. Fischer; Anthony Brown 001; Martin Baumers (CoRR, 2019)

Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset. - Luiz J. P. Araújo; Ender Özcan; Jason A. D. Atkin; Martin Baumers (Int. J. Prod. Res., 2019)

An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing. - Luiz Jonatã Pires de Araújo; Ajit Panesar; Ender Özcan; Jason A. D. Atkin; Martin Baumers; Ian Ashcroft (Int. J. Prod. Res., 2020)

Poster: An Exploration Into Tracking the Use of Consumer Goods with RFID. - Gustavo Berumen; Anthony Brown 001; Martin Baumers; Joel E. Fischer (IOT, 2021)

Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods. - Gustavo Berumen; Joel E. Fischer; Martin Baumers (Multimodal Technol. Interact., 2022)

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing. - Luiz Jonatã Pires de Araújo; Ender Özcan; Jason A. D. Atkin; Martin Baumers; John H. Drake (Expert Syst. Appl., 2025)