https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25979 Wed 04 Sep 2019 12:23:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24718 bucket indexed (BI) model, partitions the planning horizon into periods of equal length, or buckets. Unlike the TI model, the length of a period is a parameter of the BI model and can be chosen to be as long as the processing time of the shortest job. The two models are equivalent if a period is of unit length, but when longer periods are used in the BI model, it can have significantly fewer variables and nonzeros than the corresponding TI model. A computational study using weighted tardiness instances, and weighted completion time instances with release dates, reveals that the BI model significantly outperforms the TI model on instances where the minimum processing time of the jobs is large. Furthermore, the performance of the BI model is less vulnerable to increases in average processing time when the ratio of the largest processing time to the smallest is held constant.]]> Tue 27 Mar 2018 15:15:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29345 Sat 24 Mar 2018 07:34:18 AEDT ]]>