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Research highlights? We integrate a branch & bound and Lagrangian relaxation model to minimize two major types of inspection errors and their subsequent misclassification penalties for the benefits of both producers and consumers. ? The results show the proposed model is effective and computationally feasible when adopted to select the optimal inspection sequence from a group of viable sequences. ? This model can be expected to generate significant contributions to both the academic field and the real-world practice of quality control. The objective of this paper is to formulate a model, integrating the branch and bound and Lagrangian relaxation, to minimize two major types of inspection errors and their subsequent misclassification penalties for the benefits of both producers and consumers. The results show the proposed model is effective and computationally feasible when adopted to select the optimal inspection sequence from a group of viable sequences. The model can be expected to generate significant contributions to both the academic field and the real-world practice of quality control.

Intellectual capital today has become an essential concept for assessing firm value. Universities in Taiwan that are emphasizing knowledge more in order to gain a competitive advantage, as is the case with most organizations, are adopting intellectual capital to measure school performance as well. The objective of this study is to analyze the intellectual capital of universities based on indicators of innovation capital. After reviewing related literature and conducting in-depth interviews with experts in the field, the study extracts critical relevant dimensions and indicators of innovation capital that fit the characteristics of universities and then categorizes the main types of universities in Taiwan. The proposed analysis method is in accordance with the Fuzzy Analytic Hierarchy Process (FAHP) and with VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods. FAHP is used in determining the weights of the innovation capital indicators by educational experts; then, the rankings of the types of universities are determined by VIKOR, based on the result of the weights of indicators.

The paper proposed a Fuzzy Multiple Criteria Decision Making (FMCDM) approach for banking performance evaluation. Drawing on the four perspectives of a Balanced Scorecard (BSC), this research first summarized the evaluation indexes synthesized from the literature relating to banking performance. Then, for screening these indexes, 23 indexes fit for banking performance evaluation were selected through expert questionnaires. Furthermore, the relative weights of the chosen evaluation indexes were calculated by Fuzzy Analytic Hierarchy Process (FAHP). And the three MCDM analytical tools of SAW, TOPSIS, and VIKOR were respectively adopted to rank the banking performance and improve the gaps with three banks as an empirical example. The analysis results highlight the critical aspects of evaluation criteria as well as the gaps to improve banking performance for achieving aspired/desired level. It shows that the proposed FMCDM evaluation model of banking performance using the BSC framework can be a useful and effective assessment tool.