In many realistic production situations, a job processed later consumes more time than the same job when it is processed earlier. Production scheduling in such an environment is known as scheduling with deteriorating jobs. However, research on scheduling problems with deteriorating jobs has rarely considered explicit (separable) setup time (cost). In this paper, we consider a single-machine scheduling problem with deteriorating jobs and setup times to minimize the maximum tardiness. We provide a branch-and-bound algorithm to solve this problem. Computational experiments show that the algorithm can solve instances up to 1000 jobs in reasonable time.Department of Logistics and Maritime Studie
This paper addresses the single-machine scheduling problems with simultaneous considerations of job ...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
In many production systems, maintenance activities including preventive maintenance, repairs and too...
In many realistic scheduling settings a job processed later consumes more time than the same job pro...
AbstractIn many realistic scheduling settings a job processed later consumes more time than the same...
This paper sheds light on minimizing the maximum tardiness with processing and setup times under bot...
This paper sheds light on minimizing the maximum tardiness with processing and setup times...
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...
We present a single-machine problem with the unequal release times under learning effect and deterio...
This paper investigates a single machine scheduling problem with deteriorating jobs. By a deteriorat...
This paper studies the single-machine scheduling problem with deteriorating jobs and learning consid...
2006-2007 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
This dissertation addresses the problem of scheduling a set of jobs under two different measures of ...
Scheduling with deterioration effects has been widely investigated in the past two decades. In reali...
This paper addresses the single-machine scheduling problems with simultaneous considerations of job ...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
In many production systems, maintenance activities including preventive maintenance, repairs and too...
In many realistic scheduling settings a job processed later consumes more time than the same job pro...
AbstractIn many realistic scheduling settings a job processed later consumes more time than the same...
This paper sheds light on minimizing the maximum tardiness with processing and setup times under bot...
This paper sheds light on minimizing the maximum tardiness with processing and setup times...
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...
We present a single-machine problem with the unequal release times under learning effect and deterio...
This paper investigates a single machine scheduling problem with deteriorating jobs. By a deteriorat...
This paper studies the single-machine scheduling problem with deteriorating jobs and learning consid...
2006-2007 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
This dissertation addresses the problem of scheduling a set of jobs under two different measures of ...
Scheduling with deterioration effects has been widely investigated in the past two decades. In reali...
This paper addresses the single-machine scheduling problems with simultaneous considerations of job ...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
In many production systems, maintenance activities including preventive maintenance, repairs and too...