A classification approach based on the outranking model for multiple criteria ABC analysis

The multiple criteria ABC analysis is widely used in inventory management, and it can help organizations to assign inventory items into different classes with respect to several evaluation criteria. Many approaches have been proposed in the literature for addressing such a problem. However, most of these approaches are fully compensatory in multiple criteria aggregation. This means that an item scoring badly on one or more key criteria could be placed in good classes because these bad performances could be compensated by other criteria. Thus, it is necessary to consider the non-compensation in the multiple criteria ABC analysis. To the best of our knowledge, the ABC classification problem with non-compensation among criteria has not been studied sufficiently. We thus propose a new classification approach based on the outranking model to cope with such a problem in this paper. However, the relational nature of the outranking model makes the search for the optimal classification solution a complex combinatorial optimization problem. It is very time-consuming to solve such a problem using mathematical programming techniques when the inventory size is large. Therefore, we combine the clustering analysis and the simulated annealing algorithm to search for the optimal classification. The clustering analysis groups similar inventory items together and builds up the hierarchy of clusters of items. The simulated annealing algorithm searches for the optimal classification on different levels of the hierarchy. The proposed approach is illustrated by a practical example from a Chinese manufacturer. Furthermore, we validate the performance of the approach through experimental investigation on a large set of artificially generated data at the end of the paper.     

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Abstract

This study presents a novel approach to design and evaluate ‘last-mile’ solutions – encompassing the social and economic perspectives of key stakeholders. While urban system initiatives have been implemented in practice, theoretical gaps remain at the operational design level. A theoretical framework is developed, based on design criteria identified from a critical synthesis of supply chain and operations management literature, and ‘operationalised’ using an in-depth case study demonstrating implementation of a Consumer Choice Portal-Package Consolidation Centre solution, within a densely populated urban geography. Findings suggest that there is a need to re-define the role of institutional actors beyond that of the traditional governance task, to one of being able to facilitate performance outcomes. Similarly, industrial efficiency dimensions need to be reorientated to include consumer participation, social considerations and multi-stakeholder service outcomes. Finally, implications for operations theory and practising managers in city logistics are highlighted, with suggested directions for future research.     

Eligibility Criteria and Entitlements: Defining Need for NHS Continuing Care

The 1995 guidance HSG(95)8 "NHS Responsibilities for Meeting Continuing Health Care Needs" required health authorities to develop local policies and eligibility criteria for a range of continuing care services. The role of criteria in defining health need, and the potential effect on open-ended rights to NHS care, need to be considered in light of the prior erosion of rights associated with changes in continuing care provision. This paper examines whether the development of eligibility criteria has led to a loss of entitlements to NHS care. Analysis of empirical evidence from a study of the policies and criteria of six health authorities found that criteria for fully funded care were generally well defined and restricted access to those with very intense and specialist needs, thereby constituting a loss of rights. In contrast, the criteria for community-based services left eligibility dependent on professional discretion but often failed to clarify the relationship between individual need and levels of service provision. The research found that resource limits are likely to remain a factor in the allocation of services and this will affect the status of the criteria as potential entitlements.     

Establishment of risk acceptance criteria using Life Quality Index: Application to the Indian context

The formulation of risk acceptance criteria may be coupled gainfully with a prediction of the of investment required to comply with it, an exercise which can benefit from the application of socioeconomic indicators. The Life Quality Index (LQI) is one such indicator which amalgamates human mortality and wealth creation and places an implicit economic value on reduction of life risk. While there have been a number of studies to demonstrate the application of LQI pertaining to various technological systems, the present work extends it to estimate the sectoral level investment needed to reduce public risks to within the As Low As Reasonably Predictable region for the chemical industry, with specific illustration of the methodology for India. The potential reduction in public individual risk is computed as a function of percentage increase in safety investment expressed as a fraction of the industry's contribution to the nation's GDP. In addition, using a new, more accurate expression, estimates of a related parameter, the implied cost of averting a fatality (ICAF), are obtained for a number of developed economies and India. The ICAF estimates show reasonable agreement with the value of statistical life (VSL), a parameter which is integral to cost-benefit analysis of safety and environmental regulations.     

社会工作质性评估研究的回顾(1990-2003)对中国社会工作的启示

在社会科学的历史中,定量和定性研究的争论持续了差不多半个世纪。随着研究者对实证主义的质疑,质性研究的数目逐渐增加。根据布瑞曼(Bryman,1988)的看法,质性研究有以下特点:(1)透过被访者的眼睛看世界;(2)描述日常生活情境的细节;(3)了解在不同社会范畴的背景中的行为及意义;(4)强调过程;(5)倾向采用文字及结构灵活的研究设计;(6)尽量避免在研究初期确立理论和观念。邓泽和林肯(Denzin & Lincoln,1998)也指出,质性研究有以下元素:(1)采用多元的研究手法;(2)涉及自然和诠译的角度;(3)在自然的情况下作出研究;(4)尝试理解和分析不同现象的…     

大学竞争力的内涵、指标与构筑

竞争力是大学获得相对优势并在竞争中生存与发展的关键。可以从价值取向与发展定位的角度来理解大学竞争力的内涵。大学竞争力是一个由制度与机制要素、文化与精神要素、物质与财力要素、学科与管理要素有机组合而成的复杂系统。其评价指标由社会竞争力、学科竞争力、服务竞争力、国际竞争力、资源效率竞争力等综合而成。应从主体与客体两方面构筑与提升大学竞争力。     

Model selection using information criteria under a new estimation method: least squares ratio

In this study, we evaluate several forms of both Akaike-type and Information Complexity (ICOMP)-type information criteria, in the context of selecting an optimal subset least squares ratio (LSR) regression model. Our simulation studies are designed to mimic many characteristics present in real data – heavy tails, multicollinearity, redundant variables, and completely unnecessary variables. Our findings are that LSR in conjunction with one of the ICOMP criteria is very good at selecting the true model. Finally, we apply these methods to the familiar body fat data set.     

Topics on Dynamic Panel Data Models with Random Effects Using Semi-Parametric Bayesian Approach

A common assumption in fitting panel data models is normality of stochastic subject effects. This can be extremely restrictive, making vague most potential features of true distributions. The objective of this article is to propose a modeling strategy, from a semi-parametric Bayesian perspective, to specify a flexible distribution for the random effects in dynamic panel data models. This is addressed here by assuming the Dirichlet process mixture model to introduce Dirichlet process prior for the random-effects distribution. We address the role of initial conditions in dynamic processes, emphasizing on joint modeling of start-up and subsequent responses. We adopt Gibbs sampling techniques to approximate posterior estimates. These important topics are illustrated by a simulation study and also by testing hypothetical models in two empirical contexts drawn from economic studies. We use modified versions of information criteria to compare the fitted models.     

Inference after separated hypotheses testing: an empirical investigation for linear models

Model selection problems arise while constructing unbiased or asymptotically unbiased estimators of measures known as discrepancies to find the best model. Most of the usual criteria are based on goodness-of-fit and parsimony. They aim to maximize a transformed version of likelihood. For linear regression models with normally distributed error, the situation is less clear when two models are equivalent: are they close to or far from the unknown true model? In this work, based on stochastic simulation and parametric simulation, we study the results of Vuong's test, Cox's test, Akaike's information criterion, Bayesian information criterion, Kullback information criterion and bias corrected Kullback information criterion and the ability of these tests to discriminate between non-nested linear models.     

构建跨文化传播的伦理规范——以中国香港与大陆一起文化冲突事件为例

摘 自香港回归以来,大陆与香港同胞的交流合作愈加紧密。但由于文化的差异,交际中难免产生误解。加上大众媒体在传播中缺乏伦理导向、对两地文化缺乏深入理解,更容易激发矛盾。文章以哈贝马斯的交往行为理论为框架,并结合跨文化交际学和传播学的理论指导,分析2012年初发生的一起两地文化冲突事件,提倡在“建立共识、促进改变和巩固社会的公众空间”中理性交流,并在宏观文化层面确立一种具有多元化、开放性和主体间性的跨文化伦理。