The permutation flowshop problem with makespan objective is a classic machine scheduling problem, known to be NP-hard in the strong sense. We analyse some of the existing lower bounds for the problem, including the “job-based” and “machine-based” bounds, a bound from linear programming (LP), and a recent bound of Kumar and co-authors. We show that the Kumar et al. bound dominates the machine-based bound, but the LP bound is stronger still. On the other hand, the LP bound does not, in general, dominate the jobbased bound. Based on this, we devise simple iterative procedures for strengthening the Kumar et al. and LP bounds. Computational results are encouraging. In particular, we are able to obtain improved lower bounds for the “hard, small” ...
The best performing approximate methods proposed for the permutational flow shop scheduling problem ...
The m-machine permutation flowshop problem with the total tardiness objective is a common scheduling...
This paper addresses optimal job sequencing decisions for various classes of permutation flowshops. ...
The permutation flowshop problem with makespan objective is a classic machine scheduling problem, kn...
Abstract. In flow shop scheduling there are m machines and n jobs, such that every job has to be pro...
[EN] The permutation flowshop problem is a classic machine scheduling problem where n jobs must be p...
We consider the makespan minimization in a flowshop environment where the job sequence does not have...
Colloque avec actes et comité de lecture. internationale.International audienceIt is well known that...
The m-machine permutation flowshop problem with the total flow-time objective is a common scheduling...
Article dans revue scientifique avec comité de lecture. nationale.National audienceIn this paper we ...
In this article, we consider flowshop scheduling problems with minimal and maximal time lag constrai...
The optimization of scheduling problems is based on different criteria to optimize. One of the most ...
International audienceIn this article, we consider flowshop scheduling problems with minimal and max...
This paper addresses the problem of scheduling jobs in a permutation flowshop with the objective of ...
Permutation flowshop scheduling problems (PFSPs) and, in particular, the variant with the objective ...
The best performing approximate methods proposed for the permutational flow shop scheduling problem ...
The m-machine permutation flowshop problem with the total tardiness objective is a common scheduling...
This paper addresses optimal job sequencing decisions for various classes of permutation flowshops. ...
The permutation flowshop problem with makespan objective is a classic machine scheduling problem, kn...
Abstract. In flow shop scheduling there are m machines and n jobs, such that every job has to be pro...
[EN] The permutation flowshop problem is a classic machine scheduling problem where n jobs must be p...
We consider the makespan minimization in a flowshop environment where the job sequence does not have...
Colloque avec actes et comité de lecture. internationale.International audienceIt is well known that...
The m-machine permutation flowshop problem with the total flow-time objective is a common scheduling...
Article dans revue scientifique avec comité de lecture. nationale.National audienceIn this paper we ...
In this article, we consider flowshop scheduling problems with minimal and maximal time lag constrai...
The optimization of scheduling problems is based on different criteria to optimize. One of the most ...
International audienceIn this article, we consider flowshop scheduling problems with minimal and max...
This paper addresses the problem of scheduling jobs in a permutation flowshop with the objective of ...
Permutation flowshop scheduling problems (PFSPs) and, in particular, the variant with the objective ...
The best performing approximate methods proposed for the permutational flow shop scheduling problem ...
The m-machine permutation flowshop problem with the total tardiness objective is a common scheduling...
This paper addresses optimal job sequencing decisions for various classes of permutation flowshops. ...