We study a single machine scheduling problem with sequence-dependent setup time to minimize total tardiness. The jobs are grouped by family. Processing jobs in the same family does not need set up; otherwise there is a fixed amount of setup time between families. A family of jobs can be split. We present a heuristic procedure to solve this NP hard problem. The procedure generates a temporary schedule to estimate the impact of setup time on the performance, and then determineswhether or not a family splitting is necessary at the cost of additional setup time. The heuristic procedure is applied on a large set of test problems, and its performance is compared to that of the Apparent Tardiness Cost with Setup (ATCS) procedure, which is known fo...
WOS: 000445126100021For the past few years, learning effect has been receiving wide attention in the...
textabstractWe address the NP-hard problem of scheduling n independent jobs with release dates, due ...
This dissertation addresses the problem of scheduling a set of jobs under two different measures of ...
This paper addresses a single-machine scheduling problem with sequence-dependent family setup times....
AbstractWe study the single-machine scheduling problem with release and delivery times in which the ...
International audienceWe consider the problem of scheduling families of jobs in a two-machine open s...
Much of the research on operations scheduling problems has either ignored setup times or assumed tha...
In many realistic production situations, a job processed later consumes more time than the same job ...
Much of the research on operations scheduling problems has either ignored setup times or assumed tha...
We study a scheduling problem in which jobs may be split into parts, where the parts of a split job ...
This paper considers the problem of scheduling in a flowshop to minimize total tardiness when family...
The single-machine early/tardy (E/T) scheduling problem is addressed in this research. The objective...
The single-machine early/tardy (E/T) scheduling problem is addressed in this research. The objective...
In this study, we consider parallel machine scheduling problem with family setup times. Our criterio...
Abstract In this paper, we study the multi-machine scheduling problem with earliness and tardiness p...
WOS: 000445126100021For the past few years, learning effect has been receiving wide attention in the...
textabstractWe address the NP-hard problem of scheduling n independent jobs with release dates, due ...
This dissertation addresses the problem of scheduling a set of jobs under two different measures of ...
This paper addresses a single-machine scheduling problem with sequence-dependent family setup times....
AbstractWe study the single-machine scheduling problem with release and delivery times in which the ...
International audienceWe consider the problem of scheduling families of jobs in a two-machine open s...
Much of the research on operations scheduling problems has either ignored setup times or assumed tha...
In many realistic production situations, a job processed later consumes more time than the same job ...
Much of the research on operations scheduling problems has either ignored setup times or assumed tha...
We study a scheduling problem in which jobs may be split into parts, where the parts of a split job ...
This paper considers the problem of scheduling in a flowshop to minimize total tardiness when family...
The single-machine early/tardy (E/T) scheduling problem is addressed in this research. The objective...
The single-machine early/tardy (E/T) scheduling problem is addressed in this research. The objective...
In this study, we consider parallel machine scheduling problem with family setup times. Our criterio...
Abstract In this paper, we study the multi-machine scheduling problem with earliness and tardiness p...
WOS: 000445126100021For the past few years, learning effect has been receiving wide attention in the...
textabstractWe address the NP-hard problem of scheduling n independent jobs with release dates, due ...
This dissertation addresses the problem of scheduling a set of jobs under two different measures of ...