Articles in refereed journals
[1] Zhang J, Song X, Díaz E. Project buffer sizing of a critical chain based on comprehensive resource tightness[J]. European Journal of Operational Research, 2016, 248(1): 174-182. (SCI, ABS4*, Q1)
[2] Zhang J, Song X, Díaz E. Critical chain project buffer sizing based on resource constraints[J]. International Journal of Production Research, 2017, 55(3): 671-683. (SCI, ABS3*, Q2)
[3] Zhang J, Song X, Díaz E. Determination of critical chain project buffer based on information flow interactions[J]. Journal of the Operational Research Society. 2016, 67(9) :1146-1157. (SCI/SSCI, ABS3*, Q2)
[4] Zhang J, Song X, Chen H, et al. Optimisation of critical chain sequencing based on activities’ information flow interactions[J]. International Journal of Production Research, 2015, 53(20): 6231-6241. (SCI, ABS3*, Q2)
[5] Zhang J, Shi R, Diaz E. Dynamic monitoring and control of software project effort based on an effort buffer[J]. Journal of the Operational Research Society, 2015, 66(9): 1555-1565. (SCI/SSCI, ABS3*, Q2)
[6] Zhang J, Jia S, Díaz E. Dynamic monitoring and control of a critical chain project based on phase buffer allocation, Journal of the Operational Research Society, doi: 10.1080/01605682.2017.1415641. (SCI/SSCI, ABS3*, Q2)
[7] Zhang J, Wan D. Integrated buffer monitoring and control based on grey neural network. Journal of the Operational Research Society, doi:10.1080/01605682.2018.1447251. (SCI/SSCI, ABS3*, Q2)
[8] Zhang J, Jia S, Diaz E. A new buffer sizing approach based on the uncertainty of project activities[J]. Concurrent Engineering, 2015, 23(1): 3-12. (SCI/EI)
[9] Zhang J, Song X, Díaz E. Buffer sizing of critical chain based on attribute optimization[J]. Concurrent Engineering, 2014, 22(3): 253-264. (SCI/EI)
[10] Zhang J, Shen J, Yang S. Estimation model of software project effort based on project buffer[J]. Journal of Industrial Engineering and Engineering Management, 2015 (4): 171-177.
[11] Zhang J, Wan D. Dynamic real-time monitoring and control of the critical chain project[J]. Chinese Journal of Management Science, 2018, 26 (4): 171-179.
[12] Zhang J, Song X, Yang S. Buffer sizing of a critical chain project based on the entropy method[J]. Management Review, 2017, 29(1): 211-219.
[13] Zhang J, Song X, Jia S, Yang S. Determination of project buffer based on the trapezoidal Fuzzy Number[J]. Journal of Industrial Engineering and Engineering Management, 2015 (2): 223-228.
[14] Zhang J, Ran W, Jia S, Yang S. Review and prospect of buffer sizing of a critical chain project[J]. Management Review, 2017. 29 (12): 195-203.
[15] Zhang J, Li Y, Wan D. Resource buffer sizing of a critical chain project based on activity attributes[J]. Soft Science, 2017, 31(5): 124-127.
[16] Zhang J, Xu Z. Research and development project risk probability assessment based on dynamic bayesian network[J]. Soft Science, 2015, 29(2): 131-135.
[17] Zhang J, Xu Z. A probability monitoring method for risk of R&D projects based on buffer[J]. Statistics and Decision, 2016 (9): 179-181.
[18] Zhang J, Xu Z, Jia S. Risk assessment on research and development project based on Noisy-or Gate and Bayesian network[J]. Science and Technology Management Research, 2015, 35(1): 193-196.
[19] Zhang J, Guo L, Jia S, Song X. Emperical research on average productivity rate of software project[J]. Science and Technology Management Research, 2014, 34(24): 224-227.
[20] Zhang J, Song X, Yang F. Dynamic estimation method of software project effort[J]. Application Research of Computers, 2014, 31(10):2998-3001.
[21] Zhang J,Yang F, Yang S. Study of software project effort estimation and monitoring based on significant deviation standard[J]. Chinese Journal of Management Science, 2013, 21 (2): 161-167.
[22] Zhang J, Li K. Research on incremental buffer setting method based on variability of substitute resources[J]. Management Review.(Accepted)
[23] Zhang J, Li K. Critical Chain Schedule Monitoring Based on Project Resource Segmentation [J]. Management Review.(Accepted)
[24] Zhang J, Yang F. Management for software project schedule based on significant deviation standard[J]. Journal of Beijing University of Posts and Telecommunications, 2012, 35(4):72-76.
[25] Zhang J, Xu Z. A Method for Research and Development Project Risk Assessment Based on Bayesian Risk Decision Theory [J]. Journal of Industrial Technological Economics, 2012, 31 (12): 66-70.
[26] Zhang J, Yang F. Reliability assessment and prediction of workload estimation methods for R & D projects [J]. Science & Technology Progress and Policy, 2013, 30 (6): 118-121.
[27] Zhang J, Yang S. Establishment and application of significant deviation standard for R & D project schedule [J]. Science & Technology Progress and Policy, 2013, 30 (8): 20-24.
Books
[1] Zhang J. Dynamic buffer management of Critical Chain Projects. Beijing: Chemical Industry Press, 2016.
[2] Zhang J. Software Project Planning and Control. Beijing: Electronics Industry Press, 2009.
[3] Introduction to Project Management Second Edition (Quality Course series of tutorial colleges and universities) (co-author). Beijing: Mechanical Industry Press, 2008.