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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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    Assembly line balancing with resource dependent task times: An application to parallel assembly lines
    (IFAC Secretariat, 2013) Kara Y.; Atasagun Y.
    In this study, Resource Dependent Assembly Line Balancing approach is adapted to the concept of Parallel Assembly Line Balancing and this problem is called Parallel Assembly Line Balancing with Resource Dependent Task Times (RDALBP). A binary integer linear mathematical model is proposed for RDALBP. The proposed model is validated on an illustrative example and a scenario analysis is performed by comparing the proposed RDALBP solutions of the illustrative problem with independent RDALB solutions for four different cycle time values. The results show that, the RDALBP provides better solutions in total cost for three out of four different cycle time scenarios. The average cost improvement of RDALBP is 8.8% compared to independent RDALB solutions. © IFAC.