Nesting and scheduling problems for additive manufacturing: A taxonomy and review Y Oh, P Witherell, Y Lu, T Sprock Additive Manufacturing 36, 101492, 2020 | 83 | 2020 |
A hierarchical approach to warehouse design T Sprock, A Murrenhoff, LF McGinnis International Journal of Production Research 55 (21), 6331-6343, 2017 | 36 | 2017 |
Scalable data pipeline architecture to support the industrial internet of things M Helu, T Sprock, D Hartenstine, R Venketesh, W Sobel CIRP Annals 69 (1), 385-388, 2020 | 32 | 2020 |
Part decomposition and evaluation based on standard design guidelines for additive manufacturability and assemblability Y Oh, H Ko, T Sprock, WZ Bernstein, S Kwon Additive Manufacturing 37, 101702, 2021 | 21 | 2021 |
A conceptual model for operational control in smart manufacturing systems T Sprock, LF McGinnis IFAC-PapersOnLine 48 (3), 1865-1869, 2015 | 21 | 2015 |
Automated production system simulations using commercial off-the-shelf simulation tools G Thiers, T Sprock, L McGinnis, A Graunke, M Christian 2016 Winter Simulation Conference (WSC), 1036-1047, 2016 | 18 | 2016 |
Neural network-based build time estimation for additive manufacturing: a performance comparison Y Oh, M Sharp, T Sprock, S Kwon Journal of Computational Design and Engineering 8 (5), 1243-1256, 2021 | 17 | 2021 |
A standards and technology roadmap for scalable distributed manufacturing systems T Hedberg Jr, M Helu, T Sprock International Manufacturing Science and Engineering Conference 51371 …, 2018 | 16 | 2018 |
Survey and classification of operational control problems in discrete event logistics systems (DELS) T Sprock, C Bock, LF McGinnis International journal of production research 57 (15-16), 5215-5238, 2019 | 15 | 2019 |
Toward data-driven production simulation modeling: dispatching rule identification by machine learning techniques S Nagahara, TA Sprock, MM Helu Procedia CIRP 81, 222-227, 2019 | 15 | 2019 |
A metamodel of operational control for discrete event logistics systems. T Sprock Georgia Institute of Technology, Atlanta, GA, USA, 2016 | 14 | 2016 |
Simulation model generation of discrete event logistics systems (DELS) using software design patterns T Sprock, LF McGinnis Proceedings of the Winter Simulation Conference 2014, 2714-2725, 2014 | 14 | 2014 |
Theory of Discrete Event Logistics Systems (DELS) Specification T Sprock, T Sprock, G Thiers, LF McGinnis, C Bock US Department of Commerce, National Institute of Standards and Technology, 2020 | 12 | 2020 |
Analysis of functional architectures for discrete event logistics systems (dels) T Sprock, LF McGinnis Procedia Computer Science 44, 517-526, 2015 | 8 | 2015 |
Self-similar architectures for smart manufacturing and logistics systems T Sprock Manufacturing letters 15, 101-103, 2018 | 7 | 2018 |
Procedural guide for system-level impact evaluation of industrial artificial intelligence-driven technologies: Application to risk-based investment analysis for condition … M Sharp, M Dadfarnia, T Sprock, D Thomas Journal of manufacturing science and engineering 144 (7), 071008, 2022 | 6 | 2022 |
Toward a tool chain for warehouse design decision support A Murrenhoff, LF McGinnis, T Sprock IIE Annual Conference. Proceedings, 3179, 2015 | 6 | 2015 |
Integrated operations management for distributed manufacturing T Sprock, M Sharp, WZ Bernstein, MP Brundage, M Helu, T Hedberg IFAC-PapersOnLine 52 (13), 1820-1824, 2019 | 5 | 2019 |
A simulation optimization framework for discrete event logistics systems (DELS) T Sprock, LF McGinnis 2015 Winter Simulation Conference (WSC), 2776-2787, 2015 | 5 | 2015 |
Towards automated access to supply chain analyses T Sprock, LF McGinnis Proceedings of the 2014 POMS Annual Conference, 2014 | 5 | 2014 |