In this paper, a long-term production planning problem is considered with the objective criteria Cmax and Tmax and under resource capacity and precedence constraints. The case study presented is characterized by four years planning horizon, 3552 operations, 51 workers and 57 units of equipment. The solution method elaborated in this study is a heuristic algorithm. Its performances are evaluated in numerical experiments. New procedures for makespan and resource load estimation are developed in order to identify bottleneck resources. The makespan estimation algorithm is tested on the well-known PSPLIB benchmark library where the best known lower bounds are improved for 5 instances. This procedure can also be used for the estimation of the gap...
In order to implement the human-centric manufacturing and sustainability concepts in industry, an im...
Time is a crucial variable in planning and often requires special attention since it introduces a sp...
The training of autonomous agents often requires expensive and unsafe trial-and-error interactions w...
Several algorithms for finding a lower bound on the makespan for the Resource Constrained Project Sc...
In this paper, a new project scheduling problem is introduced, the periodically aggregated resource-...
Current processors have gone through multiple internal opti- mization to speed-up the average execut...
This bibliography reviews the solution methods developed for the design and balancing problems of pr...
Large-scale engineering and construction projects are subject to a great level of uncertainty which ...
We provide steps towards a welfare analysis of a two-country endogenous growth model where a relativ...
We study a resource leveling problem with variable job duration. The considered problem includes bot...
Recent advances have resulted in queue-based algorithms for medium access control which operate in a...
Assembly lines are used for a large variety of products in different industrial sectors. In this pap...
In industrial structural optimization problems, two kinds of variables are involved : continuous var...
Ankara : The Department of Industrial Engineering and the Institute of Engineering and Sciences of B...
In this paper, we study a scheduling problem on a single machine, provided that the jobs have indivi...
In order to implement the human-centric manufacturing and sustainability concepts in industry, an im...
Time is a crucial variable in planning and often requires special attention since it introduces a sp...
The training of autonomous agents often requires expensive and unsafe trial-and-error interactions w...
Several algorithms for finding a lower bound on the makespan for the Resource Constrained Project Sc...
In this paper, a new project scheduling problem is introduced, the periodically aggregated resource-...
Current processors have gone through multiple internal opti- mization to speed-up the average execut...
This bibliography reviews the solution methods developed for the design and balancing problems of pr...
Large-scale engineering and construction projects are subject to a great level of uncertainty which ...
We provide steps towards a welfare analysis of a two-country endogenous growth model where a relativ...
We study a resource leveling problem with variable job duration. The considered problem includes bot...
Recent advances have resulted in queue-based algorithms for medium access control which operate in a...
Assembly lines are used for a large variety of products in different industrial sectors. In this pap...
In industrial structural optimization problems, two kinds of variables are involved : continuous var...
Ankara : The Department of Industrial Engineering and the Institute of Engineering and Sciences of B...
In this paper, we study a scheduling problem on a single machine, provided that the jobs have indivi...
In order to implement the human-centric manufacturing and sustainability concepts in industry, an im...
Time is a crucial variable in planning and often requires special attention since it introduces a sp...
The training of autonomous agents often requires expensive and unsafe trial-and-error interactions w...