Centro su Operations e Lean Management

PUBBLICAZIONI

Cannas V. G., Pero M., Pozzi R., Rossi T. (2018), ‘Complexity reduction and kaizen events to balance manual assembly lines: an application in the field’, International Journal of Production Research, 1-18.

Ciano M. P., Pozzi R., Rossi T., Strozzi F., (2019), ‘How IJPR has addressed ‘lean’: a literature review using bibliometric tools’, International Journal of Production Research, DOI 10.1080/00207543.2019.1566667

Cigolini R., Pero M., Rossi T. (2013). Sizing off-shore transhipment systems: a case study in maritime dry-bulk transportation. PRODUCTION PLANNING & CONTROL, vol. 24, p. 15-27, ISSN: 0953-7287, doi: 10.1080/09537287.2011.598266

Cigolini R., Pero M., Rossi T., Sianesi A. (2013). Using simulation to optimize transhipment systems: Applications in field. MARITIME ECONOMICS & LOGISTICS, vol. 15, p. 332-348, ISSN: 1479-2931

Cigolini R., Pero M., Rossi T., Sianesi A. (2014). Linking supply chain configuration to supply chain performance: a discrete event simulation model. SIMULATION MODELING PRACTICE AND THEORY, vol. 40, p. 1-11, ISSN: 1569-190X, doi: 10.1016/j.simpat.2013.08.002

Cigolini R., Pero M., Rossi T., Sianesi A. (2015). Using simulation to manage project supply chain in the offshore oil and gas industry. PRODUCTION PLANNING & CONTROL, vol. 26, p. 167-177, ISSN: 0953-7287, doi: 10.1080/09537287.2013.870360

Cigolini R., Rossi T. (2004). Improving productivity of automated tissue converting lines: an empirical model and a case study. PRODUCTION PLANNING & CONTROL, vol. 15, p. 550-563, ISSN: 0953-7287

Cigolini R., Rossi T. (2006). A note on supply risk and inventory outsourcing. PRODUCTION PLANNING & CONTROL, vol. 17, p. 424-437, ISSN: 0953-7287

Cigolini R., Rossi T. (2008). Evaluating supply chain integration: a case study using fuzzy logic. PRODUCTION PLANNING & CONTROL, vol. 19, p. 242-255, ISSN: 0953-7287

Cigolini R., Rossi T. (2010). Managing operational risks along the oil supply chain. PRODUCTION PLANNING & CONTROL, vol. 21, p. 452-467, ISSN: 0953-7287

Creazza A., Dallari F., Rossi T. (2012). An integrated model for designing and optimising an international logistics network. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 50, p. 2925-2939, ISSN: 0020-7543, doi: 10.1080/00207543.2011.578157

Creazza A., Dallari F., Rossi T. (2012). Applying an integrated logistics network design and optimisation model: the Pirelli Tyre case. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 50, p. 3021-3038, ISSN: 0020-7543, doi: 10.1080/00207543.2011.588614

Lange A. K., Pirovano G., Pozzi R., Rossi T. (2014). Development of a Container Terminal Simulation Ontology. SIMULATION NOTES EUROPE, 24 (2), 79-86, DOI: 10.11128/sne.24.tn.102243

Pero M., Rossi T. (2014). RFID technology for increasing visibility in ETO supply chains: a case study. PRODUCTION PLANNING & CONTROL, vol. 25, p. 892-901, ISSN: 0953-7287

Pero M., Rossi T., Noé C., Sianesi A. (2010). An exploratory study of the relation between supply chain topological features and supply chain performance. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, vol. 123, p. 266-278, ISSN: 0925-5273

Pirovano G., Ciccullo F., Pero M., Rossi T. (in press). Scheduling batches with time constraints in wafer fabrication. INTERNATIONAL JOURNAL OF OPERATIONAL RESEARCH

Rossi T., Noé C., Sianesi A. (2008). Modelling hybrid production systems through the ACD specification: a case study in the fibre-glass industry. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 46, p. 2033-2059, ISSN: 0020-7543

Rossi T., Pozzi R., Pero M., Cigolini R. (2017) Improving production planning through finite-capacity MRP, International Journal of Production Research, 55:2, 377-391, DOI: 10.1080/00207543.2016.1177235

Rossi T., Pozzi R., Testa M. (2016). EOQ-based inventory management in single-machine multi-item systems. OMEGA, ISSN: 0305-0483, doi: 10.1016/j.omega.2016.10.002

Strozzi F., Rossi T., Noè C., Pozzi R. (in press). Quantifying the benefits of the lean thinking adoption in a supply chain at a local and global level. INTERNATIONAL JOURNAL OF OPERATIONAL RESEARCH. 10.1504/IJOR.2018.10002669

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