Research Output per year
Organization profile
Organization profile
Research Interests
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Supply chains
Engineering & Materials Science
Industry
Engineering & Materials Science
Costs
Engineering & Materials Science
Planning
Engineering & Materials Science
Profitability
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Managers
Engineering & Materials Science
Experiments
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Aydin Alptekinoglu
- Supply Chain and Information Systems - Associate Professor and Robert G. Schwartz University Fellow
Person: Academic
Russell Richard Barton
- Supply Chain and Information Systems - Distinguished Professor
- Smeal College of Business - Senior Associate Dean for Research and Faculty
Person: Academic
Terry Paul Harrison
- Supply Chain and Information Systems - Professor and Earl P. Strong Executive Education Professor in Business
Person: Academic
Research Output 1979 2019
BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence
Yue, X., Shu, X., Zhu, X., Du, X., Yu, Z., Papadopoulos, D. & Liu, S., Jan 1 2019, In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, p. 162-171 10 p., 8440044.Research output: Contribution to journal › Article
Visualization
Competitive intelligence
Electronic money
Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization
Zhao, K., Scheibe, K., Blackhurst, J. & Kumar, A., Feb 1 2019, In : IEEE Transactions on Engineering Management. 66, 1, p. 127-139 13 p., 8329409.Research output: Contribution to journal › Article
Supply chains
Topology
Electric network analysis
Network performance
Decision support systems
A data-driven congestion diffusion model for characterizing traffic in metrocity scales
Zhao, B., Xu, C. & Liu, S., Jan 12 2018, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1243-1252 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Diffusion Model
Traffic Flow
Data-driven
Congestion
Traffic Congestion
A typology of remanufacturing in closed-loop supply chains
Abbey, J. D. & Guide, Jr., V. D. R., Jan 17 2018, In : International Journal of Production Research. 56, 1-2, p. 374-384 11 p.Research output: Contribution to journal › Article
Supply chains
Industry
Product design
Closed-loop supply chain
Remanufacturing
Beyond the speed-price trade-off
Acimovic, J. A., Lim, M. K. & Mak, H. Y., Jun 1 2018, In : MIT Sloan Management Review. 59, 4, p. 13-15 3 p.Research output: Contribution to journal › Article
Trade-offs
Corrigendum to “Dynamic Collective Routing using Crowdsourcing Data” [Transp. Res. Part B: Methodol. 93 (2016), 450–469](S0191261515300345)(10.1016/j.trb.2016.08.005))
Liu, S. & Qu, Q., Jan 1 2018, (Accepted/In press) In : Transportation Research Part B: Methodological.Research output: Contribution to journal › Article
Planning
planning
Exchanging Social Support Online: A Longitudinal Social Network Analysis of Irritable Bowel Syndrome Patients’ Interactions on a Health Forum
Yang, F., Zhong, B., Kumar, A., Chow, S-M. & Ouyang, A., Dec 1 2018, In : Journalism and Mass Communication Quarterly. 95, 4, p. 1033-1057 25 p.Research output: Contribution to journal › Article
Electric network analysis
network analysis
social support
social network
Health
Finite time horizon fill rate analysis for multiple customer cases
Abbasi, B., Hosseinifard, Z., Alamri, O., Thomas, D. & Minas, J. P., Apr 1 2018, In : Omega (United Kingdom). 76, p. 1-17 17 p.Research output: Contribution to journal › Article
Time horizon
Suppliers
Finite horizon
Service level agreement
Penalty
Heterogeneous anomaly detection in social diffusion with discriminative feature discovery
Liu, S., Qu, Q. & Wang, S., May 1 2018, In : Information Sciences. 439-440, p. 1-18 18 p.Research output: Contribution to journal › Article
Anomaly Detection
Probability distributions
Social Networks
Probability Distribution
Incremental Algorithm
History of improving statistical efficiency
Barton, R. R., Nakayama, M. K. & Schruben, L., Jan 4 2018, 2017 Winter Simulation Conference, WSC 2017. Chan, V. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 158-180 23 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Rare Event Simulation
Variance Reduction
Dependence Structure
Simulation Modeling
Discrete event simulation