Assembly line designs in manufacturing commonly face the key problem of dividing the assembly tasks among the working stations so that the efficiency of the line is optimized. This problem is known as the assembly line balancing problem which is known to be NP-hard. This study, proposes a bi-objective genetic algorithm to cope with the assembly line balancing problem where the considered objectives are the utilization of the assembly line and the workload smoothness measured as the line efficiency and the variation of workload, respectively. The performance of the proposed genetic algorithm is tested through solving a set of standard problems existing in the literature. The computational results show that the genetic algorithm is promising ...
U-type assembly line is one of the important tools that may increase companies’ production efficienc...
Genetic algorithms are one example of the use of a random element within an algorithm for combinator...
This article deals with assembly line balancing problem and with possibility of using genetic algori...
Assembly line designs in manufacturing commonly face the key problem of dividing the assembly tasks ...
AbstractTwo-sided assembly lines are common industrial practice in the assembly of large-sized produ...
An important and highly complex process in the automotive industry is the balancing of the assembly ...
Purpose – This study aims to propose an efficient optimization algorithm to solve the assembly line ...
Abstract. This work analyzes a version of the line balancing problem of the type GALB (General Assem...
Abstract-Assembly line balancing (ALB) is a well-known combinatorial optimization problem in product...
Assembly line is one of the most commonly used manufacturing processes to produce final products in ...
The assembly line balancing problem is a classical optimisation problem whose objective is to assign...
International audienceAssembly line balancing (ALB) is used in many industries to minimize the numbe...
Assembly line balancing has a considerable place in industrial importance. Hence, a lot of researche...
This paper investigates a flexible assembly line balancing (FALB) problem with work sharing and work...
AbstractThe Assembly Line Balancing Problem (ALBP) is to determine the optimal allocation of assembl...
U-type assembly line is one of the important tools that may increase companies’ production efficienc...
Genetic algorithms are one example of the use of a random element within an algorithm for combinator...
This article deals with assembly line balancing problem and with possibility of using genetic algori...
Assembly line designs in manufacturing commonly face the key problem of dividing the assembly tasks ...
AbstractTwo-sided assembly lines are common industrial practice in the assembly of large-sized produ...
An important and highly complex process in the automotive industry is the balancing of the assembly ...
Purpose – This study aims to propose an efficient optimization algorithm to solve the assembly line ...
Abstract. This work analyzes a version of the line balancing problem of the type GALB (General Assem...
Abstract-Assembly line balancing (ALB) is a well-known combinatorial optimization problem in product...
Assembly line is one of the most commonly used manufacturing processes to produce final products in ...
The assembly line balancing problem is a classical optimisation problem whose objective is to assign...
International audienceAssembly line balancing (ALB) is used in many industries to minimize the numbe...
Assembly line balancing has a considerable place in industrial importance. Hence, a lot of researche...
This paper investigates a flexible assembly line balancing (FALB) problem with work sharing and work...
AbstractThe Assembly Line Balancing Problem (ALBP) is to determine the optimal allocation of assembl...
U-type assembly line is one of the important tools that may increase companies’ production efficienc...
Genetic algorithms are one example of the use of a random element within an algorithm for combinator...
This article deals with assembly line balancing problem and with possibility of using genetic algori...