Items where Author is "Glock, C.H."
Article
Glock, C.H., Grosse, E.H. & Ries, J.M. (2017). Decision support models for supplier development: Systematic literature review and research agenda. International Journal of Production Economics, 193, pp. 798-812. doi: 10.1016/j.ijpe.2017.08.025
Glock, C.H., Grosse, E.H. & Ries, J.M. (2017). Reprint of "Decision support models for supplier development: Systematic literature review and research agenda". International Journal of Production Economics, 194, pp. 246-260. doi: 10.1016/j.ijpe.2017.11.006
Ries, J.M., Glock, C.H. & Schwindl, K. (2016). The influence of financial conditions on optimal ordering and payment policies under progressive interest schemes. Omega, 70, pp. 15-30. doi: 10.1016/j.omega.2016.08.009
Marchi, B., Ries, J.M., Zanoni, S. & Glock, C.H. (2016). A joint economic lot size model with financial collaboration and uncertain investment opportunity. International Journal of Production Economics, 176, pp. 170-182. doi: 10.1016/j.ijpe.2016.02.021
Ries, J.M., Glock, C.H. & Schwindl, K. (2016). Economic ordering and payment policies under progressive payment schemes and time-value of money. International Journal of Operations and Quantitative Management, 22(3), pp. 231-251.
Glock, C.H., Ries, J.M. & Schwindl, K. (2015). Ordering policy for stock-dependent demand rate under progressive payment scheme: a comment. International Journal of Systems Science, 46(5), pp. 872-877. doi: 10.1080/00207721.2013.798446
Glock, C.H., Grosse, E.H. & Ries, J.M. (2014). The lot sizing problem: A tertiary study. International Journal of Production Economics, 155, pp. 39-51. doi: 10.1016/j.ijpe.2013.12.009
Glock, C.H., Ries, J.M. & Schwindl, K. (2014). A note on: Optimal ordering policy for stock-dependent demand under progressive payment scheme. European Journal of Operational Research, 232(2), pp. 423-426. doi: 10.1016/j.ejor.2013.07.031
Glock, C.H. & Ries, J.M. (2013). Reducing lead time risk through multiple sourcing: the case of stochastic demand and variable lead time. International Journal of Production Research, 51(1), pp. 43-56. doi: 10.1080/00207543.2011.644817