Mixed-model assembly lines allow for the simultaneous assembly of a set of similar models of a product, which may be launched in the assembly line in any order and mix. As current markets are characterized by a growing trend for higher product variability, mixed-model assembly lines are preferred over the traditional single-model assembly lines. This paper presents a mathematical programming mo...

In this paper a process-oriented simulator for assembly lines is presented. The simulator considers mixed model lines, with stochastic task times, the possibility to have parallel stations, and to consider different scheduling sequences. The simulator is a flexible supporting tool in finding solution of the assembly line balancing problem (and the optimal sequencing problem associated to it) an...

This paper proposed a parallel automated assembly line system to produce multiple products having multiple autonomous guided vehicles (AGVs). Several assembly lines are configured to produce multiple products in which the technologies of machines are shared among the assembly lines when required. The transportation between the stations in an assembly line (intra assembly line) and among station...

Assembly line balancing problems consist in partitioning the work necessary to assemble a number of products among di erent stations of an assembly line. We present a hybrid approach for solving such problems, which combines constraint programming and integer programming.

We propose a stronger formulation of the precedence constraints and the station limits for the simple assembly line balancing problem. The linear relaxation of the improved integer program theoretically dominates all previous formulations using impulse variables, and produces solutions of significantly better quality in practice. The improved formulation can be used to strengthen related proble...

The mixed work assignment technique was applied to the modular production concept solve apparel assembly line balancing problem. Specifically, an algorithm implemented generate workstations by first classifying tasks into modules through analysis of manufacturing process and assigning grouped in single task–multiple workers multiple tasks–single worker methods. Then, sequentially performed cons...

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