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Y. Kara, “Line Balancing and Model Sequencing to Reduce Work Overload in Mixed-Model U-Line Production Environments,” Engineering Optimization, Vol. 40, No. 7, 2008, pp. 669-684.

has been cited by the following article:

• TITLE: Mixed-Model U-Shaped Assembly Line Balancing Problems with Coincidence Memetic Algorithm

  AUTHORS: Parames Chutima, Panuwat Olanviwatchai

  KEYWORDS: Assembly Line Balancing, Mixed-Model U-Line, JIT, COIN

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.3 No.4, May 6, 2010

  ABSTRACT: Mixed-model U-shaped assembly line balancing problems (MMUALBP) is known to be NP-hard resulting in it being nearly impossible to obtain an optimal solution for practical problems with deterministic algorithms. This paper pre-sents a new evolutionary method called combinatorial optimisation with coincidence algorithm (COIN) being applied to Type I problems of MMUALBP in a just-in-time production system. Three objectives are simultaneously considered; minimum number workstations, minimum work relatedness, and minimum workload smoothness. The variances of COIN are also proposed, i.e. CNSGA II, and COIN-MA. COIN and its variances are tested against a well-known algo-rithm namely non-dominated sorting genetic algorithm II (NSGA II) and MNSGA II (a memetic version of NSGA II). Experimental results showed that COIN outperformed NSGA II. In addition, although COIN-MA uses a marginal CPU time than CNSGA II, its other performances are dominated.