Abstract—This paper studies the single hoist scheduling problem in no-wait flexible flow shop system with constant process times. The objective is to minimize the make span in the given job tasks. Different jobs have different process routes and process times. When a job starts, workstation must be free to process the job, and as soon as it is finished, the hoist must be free to move it to the next workstation. In this paper, a mathematics model is developed. A hybrid genetic algorithm and simulated annealing algorithm is proposed to find optical solutions to the problem. Examples are given to demonstrate the effectiveness of the model in different types of problem
This paper considers the hybrid flow shop scheduling problem. Most real world scheduling problems ar...
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances ...
In some industries as foundries, it is not technically feasible to interrupt a processor between job...
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two m...
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two m...
In this paper hybrid flowshop scheduling problem where some jobs, not all, have to follow no-wait re...
In this paper, group scheduling problem in no-wait flexible flowshop is considered by considering tw...
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and s...
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and s...
This research uses genetic algorithm for no-wait flowshop scheduling problem. The shop requires the ...
Genetic algorithms are a very popular heuristic which have been suc-cessfully applied to many optimi...
The paper considers the production scheduling problem in a hybrid flow shop environment with sequenc...
In this paper, we propose a flow shop scheduling problem with no-wait flexible lot streaming. The pr...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
This paper considers the hybrid flow shop scheduling problem. Most real world scheduling problems ar...
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances ...
In some industries as foundries, it is not technically feasible to interrupt a processor between job...
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two m...
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two m...
In this paper hybrid flowshop scheduling problem where some jobs, not all, have to follow no-wait re...
In this paper, group scheduling problem in no-wait flexible flowshop is considered by considering tw...
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and s...
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and s...
This research uses genetic algorithm for no-wait flowshop scheduling problem. The shop requires the ...
Genetic algorithms are a very popular heuristic which have been suc-cessfully applied to many optimi...
The paper considers the production scheduling problem in a hybrid flow shop environment with sequenc...
In this paper, we propose a flow shop scheduling problem with no-wait flexible lot streaming. The pr...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
This paper considers the hybrid flow shop scheduling problem. Most real world scheduling problems ar...
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances ...
In some industries as foundries, it is not technically feasible to interrupt a processor between job...