Feeding Systems

Several research has been driven on this topic. For instance, Caputo and Pelagagge (2010) proposed a methodology to help managers in evaluating and selecting the most suitable policy for materials delivery to the assembly line. Kozan (2000) developed an analytical framework to study the differences between alternative material handling and inventory policies for a truck assembly system. His model is an extension of the Vehicle Routing Problem in which the objective function minimizes component handling costs. Choi and Lee (2004) proposed a dynamic component feeding system for an automotive assembly line using a prototype system with simulation.

Wänstron and Medbo (2009) studied how material feeding design at work stations impacts assembly line performance in terms of manufacturing flexibility, process support, materials planning and work task efficiency enhancing the importance of the design of component racks at intermedial points. Souza, Carvalho and Brizon (2000) treated a practical application of packing problems in feeding assembly lines. The objective consisted of determining how to pack the items in the available containers so as to meet the line work stations’ requirements at a minimum cost. They proposed an integer programming model and a GRASP heuristic. Other authors such as Battini et al. (2009) describe an integrated approach considering feeding policies, picking activities, packing activities and vehicle optimization in a parts warehouse.

Heuristics have been applied to problems related to assembly lines. Rekiek et al. (2001) applied a genetic algorithm to optimize the assembly line design. Petit (1999) proposed an enumerative algorithm. Heuristic methods have also been applied to the sequencing problem of the assembly line as seen in Leu, Mathenson and Rees (1996) or Miltemburg and Sinnamon (1989). However, there is still much work to do in the design of feeding routes.