Evaluation of performance measures for representing operational objectives of a mixed model assembly line balancing problem

Performance evaluation of a mixed model assembly line is complicated in nature. For some configurations of the mixed model line, operational objectives can directly be evaluated; however, in others some performance measure is required for evaluating the operational objective. This paper reports a comprehensive comparative study of performance measures as to their relevance in representing the operational objectives of a mixed model assembly line balancing problem of type II. Two performance measures are proposed in this work. A genetic algorithm has been developed for comparing the proposed measures with eight others in an effort to investigate their ability to equalize workload along with minimizing cycle time. Through statistical analysis, one of the proposed performance measures has been established to perform better than the others. Application of the performance measures to balance an assembly line taken as part of an industrial case study also corroborates the results obtained by statistical analysis.