维修备件库存的两级优化研究

针对汽车维修备件的库存储备存在配置不合理的问题,提出了一种优化方法。该方法在遗传算法的基础上,采用仿真方法建立汽车的使用可用度模型,实现备件库存配置的两级优化,并实现了在满足备件库存成本约束的前提下,使汽车的使用可用度达到最大,即修复率的最大化。给出了应用该方法的具体步骤,并通过数值分析与讨论,验证了该算法的有效性。     

用全站仪进行隧道拱顶及地表沉降观测初探

在测量麻竹高速公路宜保康隧道的拱顶以及地表沉降时,本工程采用了全站仪三角高程法,实践证明,该方法不仅具有快速、高效以及可靠等优点,其精度也能充分满足施工检测的要求。采用全站仪三角高程测量隧道内拱顶和地表沉降时,测量结果不仅能够很好的反映施工过程中围岩和土体的基本变化趋势,还能反映结果受到施工影响产生的异常变化,这些都是现场安排施工和评价支护稳定性的可靠依据。     

消费者对可追溯牛肉的认知及其影响因素分析——基于结构方程模型

利用针对北京市城区消费者的402份调查问卷数据,运用结构方程模型,分析了消费者对可追溯牛肉的认知及其影响因素。结果显示,消费者对可追溯牛肉的认知水平较低,但消费者在信息强化后对可追溯牛肉安全性的评价较高;信息搜集和经济文化因素显著影响消费者对可追溯牛肉的认知水平,风险感知、牛肉重要性和经济文化因素显著影响消费者对可追溯牛肉的认知内容,但认知水平并不显著影响认知内容。最后提出相关对策建议。     

Modelling the implied volatility surface based on Shanghai 50ETF options

We develop a dynamic factor model to forecast the implied volatility surface (IVS) of Shanghai Stock Exchange 50ETF options. Based on the assumption that dynamic change in IVS is mean-reverting and Markovian, we use a state space model to capture the dynamics of IVS, and set the latent factors to be the Ornstein–Uhlenbeck processes. We obtain the optimal estimations of parameters using the Kalman filter algorithm. Empirical results show that our model performs better than the traditional IVS model in terms of fitting ability and prediction performance.     

Assessment of Consumer Behavior Towards Environmental Responsibility: A Structural Equations Modeling Approach

This paper analyses the factors impacting consumer environmental responsibility using a structural equation modeling approach. Consumer environmental responsibility is the intention of a person to act towards remediation of environmental problems not as an individual user with economic interests but as a responsible citizen having concerns about the social and environmental wellbeing of society. Therefore, awareness of environmental problems and knowledge of remedial alternatives will help individuals to pursue their chosen action and bolster a genuine desire to act and determine the measures for alleviation of environmental challenges. The four dimensions of an environmentally responsible consumer – opinion and beliefs, willingness, awareness, and an ability to act – are analysed. During the analysis, the dimension of ‘ability to move’ is found to be critical, because it has a direct influence on the capacity of the consumer to act. This research is intended to guide policy‐ and decision‐makers of regulatory bodies in understanding consumer behavior towards improving environmental performance index. It also helps organizational managers to make their supply chains green, and competitive, which in turn improves brand image and overall organizational performance. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Assessing the Effects of Climate Change Regulations on the Business Community: A System Dynamic Approach

Based on the business environmental literature and system dynamics, this paper develops a simulation model for managing the business risks derived from climate change. In particular, the purpose of this paper is to transform the valuable findings from the literature regarding climate change and corporate implications into an effective business management model with a broad applicability, regardless of the size of the business or the sector in which it operates. A methodology consistent with the basic principles of the system dynamic modeling process is developed, and a case study is designed to determine the level of completeness of the simulation model and its ability to address different aspects of business performance. To do so, three different scenarios have been simulated to analyze the reactive, proactive and inactive stance of managers against climate change risks. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

How supply chain architecture and product architecture impact firm performance: An empirical examination

In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research.     

Proposal for calculating regulatory capital requirements for reverse mortgages

In the current context in which many people worry about the sustainability of pension systems, reverse mortgages are gaining popularity because they are a way to supplement elderly people's incomes. However, it is necessary to provide banks with an adequate risk measurement and management procedure for reverse mortgages to increase the commercialization of these products, which will result in greater well-being for the retirement age population. In this paper, we propose a method to measure risk and estimate the regulatory capital requirements for a portfolio of reverse mortgages owned by a financial institution according to Basel II and III. The method considers house price risk, mortality risk and interest rate risk; consequently, regulatory capital requirements need to be computed using a Monte Carlo simulation procedure. The proposed method is general and can accommodate several scenarios for reverse mortgage specifications, including fixed or variable mortgage rates and different income stream schemes (with the lump sum as a particular case). The results for the U.K. show that reverse mortgage providers face higher risk when the lender initially advances a higher amount, with the lump-sum case indicating the highest risk, for relatively younger borrowers, the female population, higher interest rates and floating mortgage rates.     

Social capital as a facilitator of successful buyer-supplier performance management

Performance management in supply chains is an increasingly important, rapidly developing but challenging area. It may benefit from sufficient levels of social capital, such as frequent interactions between buyers and suppliers. However, social capital has not yet been studied as a facilitator of performance management. To bridge this knowledge gap, we examine buyer-supplier performance management and social relationship characteristics as perceived by suppliers. We analyze empirical data gathered through a survey of 482 suppliers by employing PLS-SEM and PLS-MGA. The findings elaborate on the role of cognitive, relational, and structural capital in performance management activities within a buyer-supplier relationship. Moreover, the results demonstrate how a supplier's positive perception, in the form of preferred customer status, can be facilitated through performance management activities. The findings reveal that there is a difference in the role of structural and relational capital between key and non-key supplier groups in performance management activities. We conclude that successful performance management in buyer-supplier relationships requires more than simply a system for sharing information. The mature use of performance measurement is also essential, with cognitive capital being especially beneficial in this endeavor.     

Multidimensional configurations of the organizational climate construct

This study describes the creation and validation of a multidimensional model which assesses the level of employee satisfaction based on international theoretical models. It utilizes data collected from a sample of 518 public and private company employees during the year 2009 in the city/state of São Paulo, Brazil. In the first stage of the study, 15 independent dimensions were theoretically obtained. In the second stage, five different multiple dimensions were confirmed using structure equation modeling (SEM) technique, thus characterizing general configurations of the organizational climate construct denominated motivation, management philosophy, leadership, people management and nature of work. It is hoped that the model can contribute by enhancing managerial best practices of an organization by attending a major demand for those listed on stock markets, since these companies must periodically provide information on job satisfaction of their employees to maintain or achieve higher levels of corporate governance.