AbstractTraditionally in metal cutting, it is assumed that a machine tool can process at most one operation at a time since machine tools have one spindle and one turret. Yet, with advent of machine tools with multiple spindles and multiple turrets, this assumption does not hold anymore. This paper deals with the integrated problem of process planning and production scheduling for a parallel processing manufacturing cells with multitasking machines. A novel Variable Neighborhood Search (VND) metaheuristic is proposed to solve the problem. This algorithm employs novel operators that cover mechanisms to combine and improve, replace and shake plans and individuals of the VNS population-based search
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
This paper aims to present non-population search algorithms called tabu search (TS), simulated annea...
In this paper we suggest a new variant of Variable neighborhood search designed for solving Mixed in...
Environmental concerns and rising energy prices put great pressure on the manufacturing industry to ...
Manufacturing is a broad field with different types of production processes. Therefore, specific pro...
In this paper, we consider the integrated planning and scheduling problem on parallel and identical ...
In this paper, we compare three multi-objective algorithms based on Variable Neighborhood Search (VN...
In many real scheduling environments, a job processed later needs longer time than the same job when...
Variable neighborhood search is a local search metaheuristic that uses sequentially different neighb...
The production planning and control (PPC) in a company aims to reduce costs related to production. O...
This paper addresses minimizing the makespan of the distributed permutation flow shop scheduling pro...
AbstractIn this paper, we compare three multi-objective algorithms based on Variable Neighborhood Se...
Human labor is generally being replaced with robots for high automation, increased fexibility, and ...
Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combin...
Extended Neighborhood Search Techniques (ENST) are meta-heuristics that are adequate tools for solvi...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
This paper aims to present non-population search algorithms called tabu search (TS), simulated annea...
In this paper we suggest a new variant of Variable neighborhood search designed for solving Mixed in...
Environmental concerns and rising energy prices put great pressure on the manufacturing industry to ...
Manufacturing is a broad field with different types of production processes. Therefore, specific pro...
In this paper, we consider the integrated planning and scheduling problem on parallel and identical ...
In this paper, we compare three multi-objective algorithms based on Variable Neighborhood Search (VN...
In many real scheduling environments, a job processed later needs longer time than the same job when...
Variable neighborhood search is a local search metaheuristic that uses sequentially different neighb...
The production planning and control (PPC) in a company aims to reduce costs related to production. O...
This paper addresses minimizing the makespan of the distributed permutation flow shop scheduling pro...
AbstractIn this paper, we compare three multi-objective algorithms based on Variable Neighborhood Se...
Human labor is generally being replaced with robots for high automation, increased fexibility, and ...
Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combin...
Extended Neighborhood Search Techniques (ENST) are meta-heuristics that are adequate tools for solvi...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
This paper aims to present non-population search algorithms called tabu search (TS), simulated annea...
In this paper we suggest a new variant of Variable neighborhood search designed for solving Mixed in...