Sustainable supply chain management in tourism

Sustainable supply chain management (SSCM) encapsulates the trend to use purchasing policies and practices to facilitate sustainable development at the tourist destination. Most research has focused on environmental aspects of manufacturing, while other aspects of sustainability or the challenges for the service sector are largely ignored. Yet SSCM is particularly important for tour operators, as the product depends on the activities of suppliers, such as accommodation, transport and activities. Therefore, tour operators' contribution to sustainable tourism will be more effective through the definition and implementation of policies that acknowledge responsibility for the impacts of suppliers. Exploratory research of SSCM practices amongst tour operators generated a wide range of examples of good practice across the whole supply chain, and recommendations are made for more widespread engagement. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

基于多维权有向图的多式联运中运输方式的选择研究

建立了以运输费用、运输能力及运输时间三者为基础的模型，同时结合多维权有向图理论对其进行求解，并对其进行了实证分析。     

Nφ型商模上的Toeplitz算子：相似性,酉等价性,约化子空间

利用张量积,研究了Nφ型商模上的符号为一般有限B laschke积的解析Toep litz算子的相似性、酉等价性及极小约化子空间.     

大型体育场馆工程项目LCP融资模式研究

大型体育场馆项目往往存在投资额巨大,融资模式单一,且建设和运营相脱节的现象。为了保证项目在全寿命期内的成功,设计了大型体育场馆工程项目的LCP融资模式。LCP模式不但将经营方引入项目的全生命周期,而且还设计了与该模型相匹配的风险分担、利益共享和信任机制,以保证公共利益和商业利益的实现。     

Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle

Owing to rapidly growing global competition, enterprises are increasingly focusing on their core competencies. The focal company faces the challenge of creating alliances with more suppliers to create outsourcing synergy and provide heterogeneous products for customers. This study proposes a fuzzy multiple attribute decision making (FMADM) method based on the fuzzy linguistic quantifier. An attempt is made to ensure that the evaluation results satisfy the current product competition strategies, and also improve the effectiveness and efficiency of the entire supply chain. The fuzzy concept is applied to both the ordinal and cardinal information. Furthermore, the fuzzy linguistic quantifier guided order-weighted aggregation (FLQG-OWA) operator can be used to satisfy the enterprise product development strategy based on different phases of product life cycle.     

Consistency among trading desks

We consider a bank having several trading desks, each of which trades a different class of contingent claims with each desk using a different model. We assume that the models are arbitrage-free. A practical question is whether a bank using several models can be arbitraged. Surprisingly it can happen that in some cases there must be an arbitrage. We discuss conditions under which the bank trades without offering arbitrage.The second-named author is grateful for support from NSERC Discovery grant 504316. An earlier version has been presented in the seminars at Fields Institute (2003), Cambridge University (2003) and IMA (2004); the authors thank for fruitful discussions. The authors also thank the referee for helpful comments.     

A Note on Linguistic Hybrid Arithmetic Averaging Operator in Multiple Attribute Group Decision Making with Linguistic Information

In this paper, we propose a linguistic hybrid arithmetic averaging (LHAA) operator, which is based on linguistic weighted arithmetic averaging (LWAA) operator and extended ordered weighted averaging (EOWA) operator, and study some desirable properties of the LHAA operator. The LHAA operator can not only reflect the importance degrees of both the given argument and its ordered position, but also relieve the influence of unfair arguments on the decision results by weighting these arguments with small values. Based on the LWAA and LHAA operators, we develop a practical approach to multiple attribute group decision making under linguistic environment. The approach first aggregates the individual linguistic preference values into a collective linguistic preference value for each alternative by using the LWAA and LHAA operators (it is worth pointing out that the aggregation process does not produce any loss of linguistic information), and then orders the collective linguistic preference values to obtain the best alternative(s). Finally, an illustrative example is also given to verify the approach and to demonstrate its feasibility and practicality.     

基于IOWA算子的组合预测模型在物流需求预测中的应用

根据2000~2009年宁波市物流需求的数据,采用灰色GM 1,,1,模型和一元线性回归模型进行组合优化,建立了基于诱导有序加权平均(IOWA)算子的物流需求量组合预测模型。结果表明基于IOWA算子的组合预测模型能有效提高预测精度,说明了该方法用于物流需求预测的可行性和有效性,并在此基础上对2010~2013年宁波市物流需求作出预测。     

基于IFHA算子的水利工程总承包模式选择

为了提供一种公正、合理的水利工程总承包模式选择方法,将IFHA直觉模糊混合平均算子引入水利工程总承包模式决策模型,在建立适用于水利工程的选择指标体系和重新对总承包模式进行细分的基础上,利用IFHA直觉模糊混合平均算子确定指标权重,并集结各专家选择判断意见,利用IFWA直觉模糊加权算子集结各备选模式所有指标判断信息,最终得到备选模式综合指标值,确定某特定水利工程适用的总承包模式。经算例分析,验证该模型符合工程实际,且充分削弱了专家主观性影响,保证了判断信息在集结过程中的完整性。     

Excel高级筛选功能在招生录取工作中的应用

通过利用Excel中ISNA与MATCH两个函数的功能并配合高级筛选,实现了两个数据表之间的差运算,并将其应用到实际招生工作中,有效提高了工作效率,降底了工作误差。