无限维多目标规划的广义α-较多有效解和广义α-较多最优解

借助无限维线性空间的广义α-较多序,本文引进了无限维多目标规划问题的带参数的广义α-较多有效解和广义α-较多最优解.同时,研究了这些解类的有关性质,得到了α-较多有效解和α-较多最优解存在的充要条件.     

多目标规划αk-较多有效解类的若干性质

在［１］中,作者提出多目标规划的较多有效解和较多最优解概念,并研究了它们的基本性质．文［３］则讨论了ｋ－较多最优解的若干性质．文［４］利用较多序类进一步引进多目标规划问题的αｋ－较多有效解,并证明了这类解的最优性必要条件．本文再给出多目标规划问题的αｋ－较多最优解的概念,并讨论了多目标规划αｋ－较多有效解和αｋ－较多最优解的若干重要性质．     

实无限维线性空间中的较多序

本文引入实无限维线性空间中的较多锥和严格较多锥，利用它们定义较多序，讨论较多序的性质，由此得出，实无限维线性空间中的任何两个元素都可以按较多序进行比较．     

多目标规划ak—较多有效解类的若干性质

在（１）中,作者提出多目标规划的较多有效解和较多最优解概念,并研究了它们的基本性质,文（３）则讨论ｋ－较多最优解的若干性质。文（４）利用较多序类进一步引进多目标规划问题的ａｋ－较多有效解,并证明了这类解的最优性必要条件。本文再给出多目标规划问题的ａｋ－较多最优解的概念,并讨论了多目标规划ａｋ－较多有效解和ａｋ－较多最优解的若干重要性质。     

线路方案比选多目标决策分析

本文通过对线路方案比选的多目标决策分析，建立了线路方案比选的 ＴＯＰＳＩＳ模型，对线路方案非劣解集进行排序，提供方案的优先顺序．     

多目标规划的ak—较多有效点与ak—较多最优点

在[1]中,作引入了多目标规划的较多有效点及较多最优点的概念,并讨论了它们的性质,本首次提出了ak-较多有效点与ak-较多最优点的概念,并讨论了ak-较多有效点,ak-较多最优点、ak-较多有效解,ak-较多最优解的相关性质。     

有错检验情况下抽样方案中的一个近似最优关系

杨继平．有错检验情况下抽样方案中的一个近似最优关系，数理统计与管理，１９９７，１６（１），３０～３４．本文给出并证明了在验收抽样检验中实际上存在误检概率ｐ，ｐ′的情况下，抽样方案中使决策损失最小的样本容量ｎ和合格判定数ｃ之间一个近似最优关系，该结论推广了文［４］中的一个结果     

多目标规划的ακ—较多有效性

本文先讨论带两个参数的ακ－较多锥的个性质，借助它们研究了多目标规划问题的ακ－较多有效解和ακ－较多最优解之间以及它们与Pareto有效解之间的关系，同时，还各自给出这两类解存在的两个充要条件。     

多目标规划的αk-较多有效性

本文先讨论带两个参数的αk-较多锥的几个性质,借助它们研究了多目标规划问题的αk-较多有效解和αk-较多最优解之间以及它们与Pareto有效解之间的关系.同时,还各自给出这两类解存在的两个充要条件.     

一般寿命分布和定时截尾的Bayes变量抽样方案

林（1994）研究了指数分布和定时截尾的变量抽样方案．本文将讨论一般寿命分布和定时截尾的一次抽样方案．在多项式损失函数的假设下,我们讨论了Weibull分布、双参数指数分布和-分布三种情形,并着重讨论Weibull分布的情形．本文还提出了一个可用于近似地确定最优抽样方案的有报算法,并且进行了灵敏度分析,还同林较早的模型（1990,1994）做了比较．     

不确定条件下多属性决策的比较因素法(英文)

本文针对不确定条件下多属性决策问题,扩展了原有多属性决策的概念,引入了比较因素与次比较因素,获得了其一些代数性质以及相应的定理。在此基础上,给出了不确定条件下多属性决策的比较因素法。     

Is the new ECTS system better than the traditional one? An application to the ECTS pilot-project at the University Pablo de Olavide

At the meeting of the joint Bologna Declaration, EU representatives agreed on the establishment of a common European Higher Education Area by 2010. Since then, several universities have implemented pilot projects, although no formal research has been carried out to analyse their results. In this study, we analysed one of these pilot-projects with two objectives. First, we examined the performance of the new system as compared to that of the traditional system. We used a procedure based on a modified model of Data Envelopment Analysis that is able to distinguish students’ efficiency (managerial efficiency) from efficiency based on the educational programme used (programme efficiency). Then we analysed whether the different systems perform differently for different types of students.     

Using revenue management to improve pricing and capacity management in programme management

This paper presents revenue management models for pricing, capacity planning, and capacity reallocation and demonstrates their applicability for programme (project) management. In programme management, the allocation of capacity (resource time) to schedule activities requires the resolution of time versus revenue trade-offs. Thus, capacity planning and scheduling present a hierarchical problem for programme managers. Furthermore, current programme management methods do not consider the issue of price sensitivity exhibited in many programme management situations. Because of this omission, critical linkages between capacity management and scheduling of activities among programmes have not been addressed. Specifically, the issue of the reservation of capacity specifically for higher revenue generating activities has been omitted from programme management research. This paper asserts that, through capacity planning and scheduling, specific capacity should be reserved for customers willing to pay higher prices to have critical activities, for example, change orders, expedited. This capacity has scheduling effects that impact the programme NPV. This paper proposes potential solutions to capacity and programme scheduling problems using revenue management techniques.     

Optimisation of road vehicle passive suspension systems. Part 1. Optimisation algorithm and vehicle model

Numerous problems have in the past been experienced during the development of military vehicle suspension systems. In order to solve some of these problems a two-dimensional multi-body vehicle dynamics simulation model has been developed for computer implementation. This model is linked to a mathematical optimisation algorithm in order to enable the optimisation of vehicle design parameters through the minimisation of a well defined objective function. In part 1 of this paper the concept of multi-disciplinary design optimisation is discussed. This is followed by the presentation of the up to six degrees of freedom vehicle model developed for this study, and a discussion of the specific gradient-based optimisation algorithm selected for the optimisation. In particular the derivation of the set of second-order differential equations, describing the acceleration of the different solid bodies of the vehicle model, is presented. In order to perform the optimisation of the non-linear suspension component characteristics, a six piece-wise continuous and linear approximation is used which is also described in this paper. Part 2 of this study will outline the simulation programme and the qualification of the programme. It will also present a typical case study where the proposed optimisation methodology is applied to improve the damper characteristics of a specific vehicle.     

Analysing the effectiveness of <Emphasis Type="Italic">Chlamydia</Emphasis> screening

Chlamydia is a highly prevalent sexually transmitted infection which is normally asymptomatic. Chlamydia is a major public health concern since it is one of the biggest causes of infertility in the UK. A screening programme has been proposed and here we analyse its potential cost-effectiveness. Previous modelling analyses for Chlamydia screening have been inadequate at representing the dynamic complexity of the impact. Most notably, the impact on the population prevalence has been overlooked as well as the possibility for an individual to become re-infected after treatment. A system dynamics model was built using the array facility in the ithink software to represent a heterogeneous population. This population was disaggregated along two dimensions: age and sexual activity levels. Results suggest that the proposed screening programme would prevent significant numbers of infertility cases annually. Additionally, it could be paying for itself after about four years and recouping the initial outlay after about twelve years.     

Modelling the Implications for Hospital Services of Cervical Cytology Screening: A Case History

A screening programme is being introduced throughout the UK to reduce deaths from cancer of the cervix by early detection of precancerous lesions. A stochastic mathematical model has been developed in order to estimate the resource implications of this programme for hospital services in NW region. The model was developed over a period of 1 year, undergoing many changes in the process. The model has suggested operational policies for smear management and demonstrated the importance of wide coverage of the population.     

Basic modelling of uncertainty: young students’ mental models

This paper focuses on a research programme that aims to explore students?? mental models when acting within elementary situations of uncertainty before stochastics have been addressed in school. In order to frame our research, we begin by reporting briefly on the recent history of research in stochastics education. Then, we discuss the main aspects of our theoretical foundation concerning the research programme. Afterwards we restrict our discussion to an exploratory study aiming to further develop our theoretical framework, describing the development of tasks representing situations of uncertainty and the method of the exploratory study involving students of grade 4 and grade 6. Finally, from the perspective of theory development, we discuss the results of analysing students?? solutions gained through quantitative analysis of tests and qualitative analysis of written rationales and of interviews. We conclude our paper with a discussion of our research results and potential future research questions.     

An integrated revenue sharing and quantity discounts contract for coordinating a supply chain dealing with short life-cycle products

This paper develops a combined contract model for coordinating a two stage supply chain where the demand at the retailer’s end is price sensitive and stock dependent. It has been shown that proposed coordination mechanism achieves perfect coordination and win–win situation for both the members of the supply chain. Further, an extensive sensitivity analysis is performed to examine the impact of various parameters on supply chain performance. It has been found that stock dependency factor has positive impact on order quantity and subsequently on supply chain performance. The paper has also made a comparative statics analysis to see the impact of certain parameters on the pricing and replenishment policies of the retailer.     

Second order fluid models with general boundary behaviour

A crucial property of second order fluid models is the behaviour of the fluid level at the boundaries. Two cases have been considered: the reflecting and the absorbing boundary. This paper presents an approach for the stationary analysis of second order fluid models with any combination of boundary behaviours. The proposed approach is based on the solution of a linear system whose coefficients are obtained from a matrix exponent. A practical example demonstrates the suitability of the technique in performance modeling. This work is partially supported by the Italian-Hungarian bilateral R&D programme, by OTKA grant n. T-34972, by Italian Ministry for University and Research (MIUR) through PRIN project Famous and by EEC project Crutial.     

Analysing maintenance data to gain insight into systems performance

The high cost of maintenance in the processing industry implies the need for optimal planning of maintenance strategy. In order to achieve this there is a need to understand the underlying failure processes, which are often very complex. In this paper, a new semi-parametric approach, combining Cox regression with density kernal smoothing, is introduced to estimate the underlying performance. The approach has been applied to several processes and it allowed insight into each process, which would not have been achieved if traditional approaches had been used. Particularly, the refurbishment of processes had a significant impact on the rate failure. This paper concludes by assessing this impact of refurbishment on the maintenance programme.