this research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. this objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. moreover, this type of problem is np-hard and solving this probl...

Assembly line balancing problems (ALBP) consist of distributing the total workload for manufacturing any unit of the products to be assembled among the work stations along a manufacturing line as used in the automotive or the electronics industries. Usually, it is assumed that the production process is fixed, i.e., has been determined in a preceding planning step. However, this sequential plann...

In this paper, we propose a hierarchical optimization technique of the PCB assembly line including multi-head non-identical surface mounting machines. The optimization problem related to the PCB assembly line is generally divided into three sub-problems: a line balancing problem, a reel assignment problem and a pick-and-place sequencing problem. Since each problem is known to be combinatorial a...

The classical Simple Assembly Line Balancing Problem (SALBP) has been widely enriched over the past few years with many realistic approaches and much effort has been made to reduce the distance between the academic theory and the industrial reality. Despite this effort, the scheduling of the execution of tasks assigned to every workstation following the balancing of the assembly line has been s...

Assembly line balancing (ALB) aims at distributing those work required to assemble a product in mass or series production among a set of workstations in an assembly line. Heuristics approaches, in corporation with computer simulation, have demonstrated a number of advantages in practice. In this paper a technique has been presented for the hybridization of the heuristic for the assembly line ba...