This paper investigates the scheduling problems with general deterioration models. By the deterioration models, the actual processing time functions of jobs depend not only on the scheduled position in the job sequence but also on the total weighted normal processing times of the jobs already processed. In this paper, the objective is to minimize the makespan. For the single-machine scheduling problems with general deterioration effects, we show that the considered problems are polynomially solvable. For the flow shop scheduling problems with general deterioration effects, we also show that the problems can be optimally solved in polynomial time under the proposed conditions
We consider a two-machine flow shop scheduling problem with effects of deterioration and learning. B...
AbstractThis paper concerns scheduling problems with the aging effect and additional resource alloca...
In this paper, three scheduling problems with deteriorating jobs to minimize the total completion ti...
This paper deals with the machine scheduling problems with the effects of deterioration and learning...
Scheduling with deterioration effects has been widely investigated in the past two decades. In reali...
AbstractWe consider a scheduling problem with a single machine and a set of jobs which have to be pr...
AbstractLearning and job deterioration co-exist in many realistic scheduling situations. This paper ...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
AbstractThe deteriorating job scheduling problems have received increasing attention recently. Howev...
This paper investigates a single machine scheduling problem with deteriorating jobs. By a deteriorat...
In this paper, we present both nonlinear job deterioration and nonlinear learning which exist simult...
AbstractThis paper addresses job-shop scheduling problems with deteriorating jobs, i.e. jobs whose p...
This paper studies the single-machine scheduling problem with deteriorating jobs and learning consid...
We present polynomial-time algorithms for single machine problems with generalized positional deteri...
We consider a two-machine flow shop scheduling problem with effects of deterioration and learning. B...
AbstractThis paper concerns scheduling problems with the aging effect and additional resource alloca...
In this paper, three scheduling problems with deteriorating jobs to minimize the total completion ti...
This paper deals with the machine scheduling problems with the effects of deterioration and learning...
Scheduling with deterioration effects has been widely investigated in the past two decades. In reali...
AbstractWe consider a scheduling problem with a single machine and a set of jobs which have to be pr...
AbstractLearning and job deterioration co-exist in many realistic scheduling situations. This paper ...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
Although scheduling with deteriorating jobs and learning effect has been widely investigated, schedu...
AbstractThe deteriorating job scheduling problems have received increasing attention recently. Howev...
This paper investigates a single machine scheduling problem with deteriorating jobs. By a deteriorat...
In this paper, we present both nonlinear job deterioration and nonlinear learning which exist simult...
AbstractThis paper addresses job-shop scheduling problems with deteriorating jobs, i.e. jobs whose p...
This paper studies the single-machine scheduling problem with deteriorating jobs and learning consid...
We present polynomial-time algorithms for single machine problems with generalized positional deteri...
We consider a two-machine flow shop scheduling problem with effects of deterioration and learning. B...
AbstractThis paper concerns scheduling problems with the aging effect and additional resource alloca...
In this paper, three scheduling problems with deteriorating jobs to minimize the total completion ti...