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Timothy Sprock
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Nesting and scheduling problems for additive manufacturing: A taxonomy and review
Y Oh, P Witherell, Y Lu, T Sprock
Additive Manufacturing 36, 101492, 2020
832020
A hierarchical approach to warehouse design
T Sprock, A Murrenhoff, LF McGinnis
International Journal of Production Research 55 (21), 6331-6343, 2017
362017
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
322020
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
212021
A conceptual model for operational control in smart manufacturing systems
T Sprock, LF McGinnis
IFAC-PapersOnLine 48 (3), 1865-1869, 2015
212015
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
182016
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
172021
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
162018
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
152019
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
152019
A metamodel of operational control for discrete event logistics systems.
T Sprock
Georgia Institute of Technology, Atlanta, GA, USA, 2016
142016
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
142014
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
122020
Analysis of functional architectures for discrete event logistics systems (dels)
T Sprock, LF McGinnis
Procedia Computer Science 44, 517-526, 2015
82015
Self-similar architectures for smart manufacturing and logistics systems
T Sprock
Manufacturing letters 15, 101-103, 2018
72018
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
62022
Toward a tool chain for warehouse design decision support
A Murrenhoff, LF McGinnis, T Sprock
IIE Annual Conference. Proceedings, 3179, 2015
62015
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
52019
A simulation optimization framework for discrete event logistics systems (DELS)
T Sprock, LF McGinnis
2015 Winter Simulation Conference (WSC), 2776-2787, 2015
52015
Towards automated access to supply chain analyses
T Sprock, LF McGinnis
Proceedings of the 2014 POMS Annual Conference, 2014
52014
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