A new hybrid tabu search (HTS) method for solving assembly line balancing problems is proposed in this paper. The tabu search (TS) method is combined with the genetic algorithm (GA) to identify and provide solutions for assembly line balancing problems. With the proposed HTS method, the TS method can well address the number of tasks assigned for each workstation, while the GA can also assign th...

The growing global competition compels manufacturing organizations to engage themselves in all productivity improvement activities. In this direction, the consideration of mixed-model assembly line balancing problem and implementing in industries plays a major role in improving organizational productivity. In this paper, the mixed model assembly line balancing problem with deterministic task ti...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

Line balancing means balancing the production line, or any assembly line. The main objective of line balancing is to distribute the task over the each work station so that idle time of labor of machine can be minimized. Line balancing aims at grouping the resources or labor in an efficient and best pattern in order to obtain an optimum or proper balance of the resources and flows of the product...

This paper presents a technique for comparing the results of different assembly line balancing strategies by using Data Envelopment Analysis (DEA). Initially, several heuristics— which can be thought of as assembly line balancing strategies—were used to solve seven line-balancing problems. The resulting line balance solutions provided two pieces of information that were of particular interest: ...