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    An approach for balancing and sequencing mixed-model JIT U-lines
    (2007) Kara Y.; Ozcan U.; Peker A.
    A successful implementation of a mixed-model U-line requires solutions for balancing and sequencing problems. This study proposes an approach for simultaneously solving the balancing and sequencing problems of mixed-model U-lines. The primary goal of the proposed approach is to minimize the number of workstations required on the line (Type I). To meet this aim, the proposed approach uses such a methodology that enables the minimization of the absolute deviation of workloads among workstations as well. In terms of minimizing the number of workstations required on the mixed-model U-line, as well as minimizing the absolute deviation of workloads among workstations, the proposed approach is the first method in the literature dealing with the balancing and sequencing problems of mixed-model U-lines. The newly developed neighborhood generation method employed in the simulated annealing (SA) method is another significant feature of the proposed approach. An illustrative example to clarify the solution methodology is presented. Some problem factors and algorithm parameters that may affect the performance of the approach are also tested by a comprehensive experimental study. © Springer-Verlag London Limited 2007.
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    A new heuristic approach for line balancing and model sequencing problems of mixed model U shaped assembly lines [Karişik modelli? u-ti?pi? montaj hatlarinda hat dengeleme ve model siralama problemleri? i?çi?n yeni? bi?r sezgi?sel yaklaşim]
    (2007) Özcan U.; Peker A.
    Production of similar products or different models of same product on the same assembly line is called mixed model production. Mixed model production is performed on U shaped assembly lines that utilized in Just in Time production system to meet the customer requirements. Effectiveness of mixed model U shaped assembly lines (MMUL) depends on the solutions to line balancing of mixed model U shaped assembly lines (MMUL-B) problem and model sequencing of mixed model U shaped assembly lines (MMUL-S) problem. In this paper, a new heuristic approach based on tabu search algorithm is proposed for simultaneously solving line balancing and model sequencing of mixed model U shaped assembly lines (MMUL-B/S). The objective of the heuristic approach is to minimize the number of workstations utilized in a mixed model U shaped assembly line. The proposed heuristic approach is compared to mixed integer programming model (MIPM) in the literature. The experimental results demonstrate that the proposed heuristic approach obtains courageous results.