Competency analysis of top managers in the Taiwanese hotel industry

The purpose of this study was to identify top managers’ competencies in hotel unit leaders perceived to be most critical for career development, and using the Fuzzy Delphi and Analytic Hierarchy Process methods to determine perceptions of the importance of various competencies in different dimensions. This study uses snowball sampling methods to collect data from 25 hotel top managers and uses qualitative and quantitative surveys, including interviews, questionnaire review and a questionnaire survey. A two-stage research design is adopted to understand the differences in perceived competency requirements better. The analytical results demonstrate the required competencies of top managers in the hotel industry, and divide them into generic and technical dimensions, 18 competency domains, and 107 competency indices. The top three most important competency domains are “leadership,” “crisis management,” and “problem-solving.” The proposed management competency framework provides an important implication for educators, practitioners, and researchers.     

PLC输入I/O点数的扩展方法

介绍了 PL C输入 I/ O点数的硬件软件扩展方法 ,为在实际应用中解决 PL C输入点数不足 ,降低系统的硬件费用 ,提出了很好的解决方法     

EPP协议在车载地震仪中的设计与应用

针对并行口设备开发的趋势及特点 ,详细介绍了 EPP协议的产生、特点及时序 ;并结合科研项目“ES2 42 0地震仪改造”提出了用 EPP协议仿 Intel 80 86系统接口的详细设计方案 ,该接口由读写逻辑生成电路、地址锁存器及译码器、仿 Intel 80 86总线及一些逻辑延时电路组成。并给出了电路框图及 Windows3 .x/95/98编程。经扩展后总线的双向通信速度为 850 KB/s与 ISA总线的速度相当。     

基于模糊控制的蓄电池快速充电系统

介绍了基于模糊控制原理的蓄电池充电控制技术 ,它实现了对复杂蓄电池充电过程的智能控制和最优控制 ,大大提高了充电系统的性能和工作效率。     

An optimization approach for managing fresh food quality throughout the supply chain

One of the most challenging tasks in today's food industry is controlling the product quality throughout the food supply chain. In this paper, we integrate food quality in decision-making on production and distribution in a food supply chain. We provide a methodology to model food quality degradation in such a way that it can be integrated in a mixed-integer linear programming model used for production and distribution planning. The resulting model is applied in an illustrative case study, and can be used to design and operate food distribution systems, using both food quality and cost criteria.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

中国信用体系建设中的个人信用模糊评估

个人信用体系建设是中国信用制度建设的主要内容之一，个人信用评估是个人信用体系建设的主要应用领域。在信用评分模型和基于先验审批规则法基础上建立起来的模糊推理系统，充分利用了业内人员多年积累的从业经验，是适合我国实际情况的个人信用评估方式。在我国个人信用数据积累到一定程度和一定时期之后，这些数据既可以与专家经验互相补充用于生成模糊推理规则，也可以对模糊推理系统进行检验和修正。     

Maximizing benefits in project selection: a hybrid approach

Charitable foundations and government programmes should endeavour to allocate their limited resources to best serve their constituents. Yet, mathematical programming techniques are rarely used despite overwhelming evidence of their superiority in selecting projects that yield higher levels of total benefits. We present a novel ‘hybrid selection model’ that combines binary linear programming and heuristic rank-based models applied to two case studies. The first case focuses on providing services to women and shows a hybrid model would have selected the top three ‘signature’ projects and maintained an above-average overall project benefit while securing a 180% improvement in the number of projects funded, a 66% improvement in the number of women served and a 132% improvement in the total benefit achieved. In the second case, we apply the hybrid approach to data from the US government’s largest forest preservation programme and demonstrate that the hybrid approach could allow the programme to select up to 11 top-scoring projects while still achieving a 97% gain in the total overall benefit compared to their traditional method. These case studies show that the hybrid approach has the potential to be applied in a variety of settings and improve how foundations and programmes achieve their goals.     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Dynamic supply chain modeling using a new fuzzy hybrid negotiation mechanism

The key part of dynamic supply chain management is negotiating with suppliers and with buyers. Coordination is essential for successful supply chain management. In order to model coordination among suppliers and buyers in a dynamic supply chain, this paper takes a step further and proposes a new fuzzy- logic-based hybrid negotiation mechanism. In most real-world negotiation situations, agents have a common interest to cooperate, but have conflicting interests over exactly how to cooperate. These situations involve restrictions and preferences that may be vaguely and partly defined. Therefore, this study takes the advantage of fuzzy logic and develops a hybrid negotiation-based mechanism, that combines both cooperative and competitive negotiations. Achieving effective coordination in a multi-agent system is non-trivial as no agent possesses the global view of the problem space. Moreover, the different strategies adopted by agents may produce conflicts. While agents coordinate with each other in the operations, they will negotiate about their strategies to reduce conflicts. The proposed fuzzy hybrid negotiation mechanism allows negotiation agents more flexibility and robustness in an automated negotiation system. The proposed mechanism not only helps sellers and buyers to explore various new choices and opportunities that the e-markets offer but also allows them to identify and analyze their resource constraints in a given schedule, and helps them to explore and exploit many alternatives for a better solution. The efficacy of the proposed approach is demonstrated through an illustrative example.