Abstract. In this paper we propose two novel approaches for solving constrained multi-objective optimization problems using steady state GAs. These methods are intended for solving real-world application problems that have many constraints and very small feasible regions. One method called Objective Exchange Genetic Algorithm for Design Optimization (OEGADO) runs several GAs concurrently with each GA optimizing one objective and exchanging information about its objective with the others. The other method called Objective Switching Genetic Algorithm for Design Optimization (OSGADO) runs each objective sequentially with a common population for all objectives. Empirical results in benchmark and engineering design domains are presented. A comparison between our methods and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) shows that our methods performed better than NSGA-II for difficult problems and found Pareto-optimal solutions in fewer objective evaluations. The results suggest that our methods are better applicable for solving real-world application problems wherein the objective computation time is large.

Palliative care education is inadequate from the perspective of the Chinese medical interns. An improvement in the medical school curriculum is needed.

Abstract:Purpose: The purpose of study is to propose and verify a method of service quality elements classification through integrating fuzzy theory into Kano model. The method has the merit of being more effective in processing customers' psychology of vagueness and uncertainties than traditional Kano model. Design/methodology/approach: In this study, considering the disadvantages of traditional Kano model in service quality elements classification without taking into account customers' complex consuming psychology, and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a new framework of integrating fuzzy theory into Kano model in quality elements classification is proposed. In view of the strong subjectivity of traditional Kano questionnaires, a fuzzy Kano questionnaire considering the evaluators' multi-feelings is proposed. Furthermore, this study will also develop a mathematical calculation performance according to the classification of fuzzy Kano model. With this method, the accurate mentality can be fully reasonable reflected in some unknown circumstances. Finally, an empirical study in Xuzhou Construction Machinery Group Co., Ltd, the largest manufacturing industry in China, is showed to testify its feasibility and validity.-1661-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1708 Findings:The calculation results and the application effect show that the proposed model has good performance in classifying customer requirements. With this method, the accurate mentality can be fully reasonable reflected in unknown circumstances and it is more objective than traditional Kano model to classify the service quality elements. Originality/value:This study provides a method to integrate fuzzy theory and Kano model, and develops a framework to classify service quality elements.

In resources limited circumstances, seeking relationship between customer satisfaction and logistics service performance is meaningful for the development of logistics companies. Therefore, it is crucial for logistics companies to understand that logistics service quality attributes can increase satisfaction and their improvement priorities can help make better decisions. Thus, the identification of logistics service quality attributes importance and their contributions on improving customer satisfaction have become more necessary to logistics companies success. Considering traditional Kano model classification is subjective, the contribution of this study is, therefore, to integrate fuzzy Kano model with importance-performance analysis to address the shortcomings with using these two methods separately. What's more, constructing a decision-making method can help logistics companies determine the priority of logistics service quality attributes. Finally, an empirical study on customer satisfaction was undertaken. The feasibility and effectiveness of this method had been verified.

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