顾客策略行为下基于CVaR和回购契约的供应链决策模型

依据条件风险值CVaR度量准则,建立了顾客策略行为下基于回购契约的供应链决策模型,分析了集中式供应链系统和分散式供应链系统中,风险规避供应商和风险规避零售商的决策行为。在此基础上,通过理论求解和数值分析,进一步探讨了顾客策略行为、成员风险规避性和供应链回购契约的交互影响。主要研究结论如下:第一,当供应链成员均为风险规避时,价格承诺可成为顾客策略行为的完美应对策略;第二,最优回购价格受到零售商和供应商的风险规避度的共同影响,零售商的最优订货量随产品回购价格的增加而增加;第三,当且仅当零售商与供应商的风险规避度相当时,回购契约能够实现分散式供应链系统的协调和利润在不同成员间的任意分配,否则回购契约不能实现供应链利润在不同成员间的任意分配。第四,当供应链成员风险规避不等时,零售商的利润分成随顾客对产品估价的增加而增加。同时,风险规避度较小方需要出让部分利润给风险规避度较大方才能够保证契约的实施。     

一种基于期权的供应商能力预订模型

在供应链中,合作企业实现风险共担,利益共享是供应链管理的基本目标。本文通过引入期权机制,提出了制造商预订上游供应商的生产能力的数学模型,使之能以较低的风险获取外部资源,以保证经营目标的实现。同时,也能使供应商通过期权降低自身的经营风险,增强收益的能力,最终实现供应链利益的整体协调。     

力量不对等供应链中不同定价权下的契约选择

寄存契约为供应商管理库存运营模式中的一种,零售商偏好寄存契约从而把库存风险转移给供应商,而供应商则偏好传统模式从而不需承担库存风险.从批发价格的定价权出发,探讨力量不对等供应链中成员偏好某种契约的务件.分析在力量不对等的供应链中,当批发价格为外生批发价格,即批发价格由外部市场决定时,供应链中成员在传统模式和寄存契约下的决策问题,并分析外生批发价格的大小如何影响供应链中成员的契约选择;当批发价格为内生批发价格,即批发价格由供应链中强势方(零售商或供应商)决定时,分别分析供应链中成员在传统模式和寄存契约下的决策问题,并横向分析不同力量对比度的供应链中,供应链成员如何选择契约和供应链的最终运行模式,从而为供应链成员的运营模式选择提供一定的科学指导.     

资金约束供应链中的融资优化与营运管理协同决策研究

基于供应商主导的Stackelberg博弈假设,对单一供应商和单一零售商组成的二级供应链中三种购销营运模式(预订购、委托代销和组合模式)的运作及契约双方的博弈顺序进行了分析,并构建了供应链融资和营运协同决策模型。研究表明,资金充足供应链中,供应商的最优状况相当于传统报童模型下的优化问题,且会采用委托代销营运模式。为实现最优决策,资金约束供应商会采用外部融资和供应链内部资金转让的组合融资方案,且会选择预订购和委托代销组合营运策略。资金约束供应链中供应商愿意与零售商分担产品市场风险,激励零售商预订购,增加供应链的整体收益。     

采购赋能情境下平台供应链的库存风险共担策略研究

近年来,平台供应链中核心企业的采购赋能行为迅速增加,这有助于帮助供应链成员降本增效,但也可能引发核心企业自身的高库存风险。本文在同时考虑供应商产出不确定和零售商需求不确定的情境下,构建了由一个平台型电商企业、一个供应商和多个零售商组成的三级供应链系统,探讨了采购赋能情境下供应链的库存风险共担机制。研究发现,引入需求风险共担契约有助于提升供应商的生产投入水平、平台的订购量以及零售商的销售努力,并提高供应商与平台的利润。其次,引入产出风险共担契约会降低供应链成员的决策水平和利润。最后,对于不同类型的供应链风险应采取差异化的应对策略。     

基于跨期约束的供应链动态质量激励机制设计

针对供应链质量问题频发的现状,运用单阶段静态质量激励模型揭示了供应商质量投入动机不足的原因,并提出基于跨期约束的供应链动态质量激励机制。研究表明:在基于跨期约束的供应链动态质量激励模型中,博弈末期的双方最优决策与单阶段静态模型一致,即供应商的质量投入水平等于零售商对供应商的转移支付系数,而博弈第一阶段的供应商质量投入水平将大于零售商对供应商的转移支付系数,从而实现了零售商对供应商质量投入的有效激励。最后通过算例仿真验证了当零售商与供应商的绝对风险规避系数、随机冲击的波动增大时,基于跨期约束的动态质量激励模型的供应链总体效用要明显高于静态模型,实现了供应链绩效的帕累托改进。     

战略供应商多任务投入的收入共享激励机制设计

新兴市场企业升级和创新的最优路径是从简单的原始设备制造出发,经由原始设计制造,最终实现完全自主的原始品牌制造.在原始品牌制造产业模式下,供应链中的原始品牌制造商与其战略供应商之间存在着信息不对称、战略供应商投入影响原始品牌制造商收入以及双方共同承担收入不确定风险的特征,根据这些特征建立了供应链中战略供应商单任务投入的收入共享激励机制,发现在单任务激励机制中战略供应商对任务的投入等于原始品牌制造商提供的边际激励系数;根据双方多任务合作的特征,建立了供应链中战略供应商多任务投入的收入共享激励机制,发现在多任务激励机制中战略供应商对各个任务的投入不再等于原始品牌制造商提供的边际激励系数,而受各任务在投入成本和不确定性收入两方面的相关关系影响;最后运用算例仿真证明了多任务激励机制在改善供应链整体绩效上的优势.     

基于熵权的乏燃料公路运输选线模型

由于核电站的特殊性,乏燃料的运输在核电供应体系中占据重要地位.核电站乏燃料具有辐射性,运输过程中对工作人员、沿途公众和环境等可能会产生危害,又属于公路超限货包运输,所以对公路运输线路要求非常高.本文在利用层次分析法构造乏燃料公路运输线路优选系统的综合评价指标体系的基础上,结合熵权和模糊数学理论,构造基于熵权的乏燃料公路运输选线模糊层次分析模型,为确保核电供应链中乏燃料物流的安全、降低其对环境的影响提供决策依据,以达到安全、可靠和经济合理地完成核电站乏燃料运输的目的.     

具有风险规避销售商的供应链最优回购契约

在销售商风险规避下,运用CVaR方法研究了供应商在直营渠道（集中式供应链）和非直营渠道（分散式供应链）下回购契约的设计问题。刻画了集中式供应链下回购契约完成渠道协调的充要条件,求解了分散式供应链的最优回购契约。比较分析了集中式和分散式供应链下回购契约的差异,得到以下结论：相对于集中式供应链,供应商在分散式供应链中趋向于设定更高的批发价格,或更低的回购价格。讨论了销售商的风险规避度对契约设计和供应商收益的影响,研究表明：销售商越规避风险,供应商的收益越低。最后提供一个案例讨论了模型在现实中的应用。     

供应链应收账款融资的决策分析与价值研究

根据供应链应收账款融资交易模型,建立了包含供应商、下游厂商和金融机构的多阶段供应链决策模型,研究了包含和不包含融资情况下相关企业的决策问题,得到供应链中各参与方在各阶段的期望收益,并通过数值分析研究了供应链应收账款融资对供应链成员和整个供应链的价值.分析发现:没有其他融资的情况下,中小供应商有可能出现生产不连续的情况,而供应链应收账款融资能够使其进行连续生产,并在快速增长的市场中能在较短的周期内达到最优产量;应收账款融资也能使厂商得到连续供货,收益持续增长,供应商的初始现金越多,厂商的期望收益越高;当供应商的实力较弱时,金融机构能够得到较大融资总收益,当供应商的实力达到一定程度后,金融机构得到的总收益呈下降趋势.供应链应收账款融资对中小供应商、厂商和金融机构都具有很大的应用价值.     

核电站非连续性需求条件下的业务外包风险研究

在一般业务外包风险研究的基础上结合非连续性需求条件下供应风险的特点,研究了非连续性需求占优的核电站供应管理中的业务外包风险及其产生的原因。由于非连续性需求的特点,容易造成核心竞争力识别错误,容易被承包商锁定,容易失去对承包商经营状况和技术改进的跟踪,从而带来危害更大、后果更严重的风险。     

How a Nuclear Power Plant Accident Influences Acceptance of Nuclear Power: Results of a Longitudinal Study Before and After the Fukushima Disaster

Major nuclear accidents, such as the recent accident in Fukushima, Japan, have been shown to decrease the public's acceptance of nuclear power. However, little is known about how a serious accident affects people's acceptance of nuclear power and the determinants of acceptance. We conducted a longitudinal study (N= 790) in Switzerland: one survey was done five months before and one directly after the accident in Fukushima. We assessed acceptance, perceived risks, perceived benefits, and trust related to nuclear power stations. In our model, we assumed that both benefit and risk perceptions determine acceptance of nuclear power. We further hypothesized that trust influences benefit and risk perceptions and that trust before a disaster relates to trust after a disaster. Results showed that the acceptance and perceptions of nuclear power as well as its trust were more negative after the accident. In our model, perceived benefits and risks determined the acceptance of nuclear power stations both before and after Fukushima. Trust had strong effects on perceived benefits and risks, at both times. People's trust before Fukushima strongly influenced their trust after the accident. In addition, perceived benefits before Fukushima correlated with perceived benefits after the accident. Thus, the nuclear accident did not seem to have changed the relations between the determinants of acceptance. Even after a severe accident, the public may still consider the benefits as relevant, and trust remains important for determining their risk and benefit perceptions. A discussion of the benefits of nuclear power seems most likely to affect the public's acceptance of nuclear power, even after a nuclear accident.     

Living with Nuclear Power: A Q-Method Study of Local Community Perceptions

The issue of new nuclear power is once again high up on the public policy agenda in many countries, and candidate sites for new civilian stations are likely to include those that have existing nuclear facilities. A common assumption is that existing nuclear communities will be more accepting of new build because of the direct economic and other benefits nuclear power already makes to a local area. Surprisingly, there is a dearth of contemporary data on perceptions of the risks, benefits, and values associated with nuclear power within such communities. This study uses Q-methodology to investigate the perspectives on living with nuclear risk among people ( n  = 84) drawn from communities near to two nuclear power stations in the United Kingdom. Both stations, at Bradwell-on-Sea and Oldbury-on-Severn, had been in operation for over 40 years. The Q-analysis identified four main perspectives, or points of view, accounting for 53% of total variance. These were interpreted as: Beneficial and Safe; Threat and Distrust; Reluctant Acceptance; and There's No Point Worrying. We conclude that the "landscape of beliefs" about nuclear power in such communities is both subtle and complex, avoiding simplistic bipolar dichotomies such as "for" or "against," and that there is a need for extensive and meaningful dialogue with such communities over any new build plans. The usefulness of Q-methodology for investigating the ways in which people live with risk is highlighted, as are the implications of the results for theories of risk and trust.     

Insights into the Societal Risk of Nuclear Power Plant Accidents

The elements of societal risk from a nuclear power plant accident are clearly illustrated by the Fukushima accident: land contamination, long‐term relocation of large numbers of people, loss of productive farm area, loss of industrial production, and significant loss of electric capacity. NUREG‐1150 and other studies have provided compelling evidence that the individual health risk of nuclear power plant accidents is effectively negligible relative to other comparable risks, even for people living in close proximity to a plant. The objective of this study is to compare the societal risk of nuclear power plant accidents to that of other events to which the public is exposed. We have characterized the monetized societal risk in the United States from major societally disruptive events, such as hurricanes, in the form of a complementary cumulative distribution function. These risks are compared with nuclear power plant risks, based on NUREG‐1150 analyses and new MACCS code calculations to account for differences in source terms determined in the more recent SOARCA study. A candidate quantitative societal objective is discussed for potential adoption by the NRC. The results are also interpreted with regard to the acceptability of nuclear power as a major source of future energy supply.     

Managing Imbalanced Supply Chain Relationships for Sustainability: A Power Perspective

This study adopts a power perspective to investigate sustainable supply chain relationships and specifically uses resource‐dependence theory (RDT) to critically analyze buyer–supplier–supplier relationships. Empirical evidence is provided, extending the RDT model in this context. The concept of power relationships is explored through a qualitative study of a multinational company and agricultural growers in the UK food industry that work together to implement sustainable practices. We look at multiple triadic relationships involving a large buyer and its small suppliers to investigate how relative power affects the implementation of sustainable supply‐management practices. The study highlights that power as dependence is relevant to understanding compliance in sustainable supply chains and to identifying appropriate relationship‐management strategies to build more sustainable supply chains. We show the influences of power on how players manage their relationships and how it affects organizational responses to the implementation of sustainability initiatives. Power notably influences the sharing of sustainability‐related risks and value between supply chain partners. From a managerial perspective, the study contributes to developing a better understanding of how power can become an effective way to achieve sustainability goals. This article offers insights into the way in which a large organization works with small and medium size enterprises to implement sustainable practices and shows how power management—that is, the way in which power is used—can support or hinder effective cooperation around sustainability in the supply chain.     

Bayesian Modeling of Initiating Event Frequencies at Nuclear Power Plants1

Probabilistic risk assessments (PRAs) of nuclear power plants proceed by modeling potential accident sequences at the plant of interest. These hypothesized accident sequences begin with initiating events. A very important initiating event phenomenon is the loss of off-site power (LOSP). This is the interruption of the preferred power supply to the essential and nonessential switchgear buses resulting in the use of emergency power supplies. If off-site power is not restored in a reasonable period of time, emergency backup sources of AC and DC power may subsequently fail, resulting in a possible core meltdown. Industry data show 63 LOSP incidents in the operating history of nuclear plants in the United States. Two Bayesian models for the frequency of incidents of LOSP are presented. One model assumes that all nuclear power generating stations share a common incidence rate for LOSP, and a posterior distribution is found for the mean incidence rate for all plants. The second model assumes that the incidence rates for individual plants belong to a superpopulation of incidence rates. Under this model the incidence rate for each plant is unique, but related to the incident rate of all other plants through the superpopulation. These models provide a vehicle for incorporating initiating event uncertainty into PRAs.     

Managing Disruption Risks in Supply Chains

There are two broad categories of risk affecting supply chain design and management: (1) risks arising from the problems of coordinating supply and demand, and (2) risks arising from disruptions to normal activities. This paper is concerned with the second category of risks, which may arise from natural disasters, from strikes and economic disruptions, and from acts of purposeful agents, including terrorists. The paper provides a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains. We then consider empirical results from a rich data set covering the period 1995–2000 on accidents in the U. S. Chemical Industry. Based on these results and other literature, we discuss the implications for the design of management systems intended to cope with supply chain disruption risks.     

Risk Management and Decision Rules for Light Water Reactors

A quantitative approach to risk management for accidents in light water nuclear power reactors is proposed to serve as one focus for discussion. In this proposal risk management is divided into two major tasks: the predominantly social and political task of setting the safety goals and the technical task of estimating the risks and deciding whether the safety goals have been met. The proposed safety goals include limits on the following: risk to the individual of early death or delayed cancer death; overall societal risk of early or delayed death; and the frequency of core melt accidents as well as the frequency of containment failure, given a core melt. Also included are a small element of risk aversion and an "as low as reasonably achievable" (ALARA) approach with a cost-effectviness criterion which includes both economic and health effects.     

Attitudes as an Expression of Knowledge and “Political Anchoring”: The Case of Nuclear Power in the United Kingdom

Attitudes toward the use of nuclear energy pose fundamental issues in the political debate about how to meet future energy needs. Development of new nuclear power facilities faces significant opposition both from knowledgeable individuals who display an understanding of the risks attached to various forms of power generation and those who follow strict politically based ideological dogmas. This article employs data from a 2005 Eurobarometer survey of UK citizens to examine the influence of both political preferences and knowledge in explaining support of nuclear power. Findings reveal that attitudes about nuclear power are highly politically motivated while the influence of knowledge about radioactive waste is dependent upon beliefs about the consequences of nuclear energy use. Perceptions of being informed about radioactive waste and trust in sources providing information about radioactive waste management also predict attitudes toward nuclear power generation.     

NIMBY, CLAMP, and the Location of New Nuclear-Related Facilities: U.S. National and 11 Site-Specific Surveys

Public and political opposition have made finding locations for new nuclear power plants, waste management, and nuclear research and development facilities a challenge for the U.S. government and the nuclear industry. U.S. government-owned properties that already have nuclear-related activities and commercial nuclear power generating stations are logical locations. Several studies and utility applications to the Nuclear Regulatory Commission suggest that concentrating locations at major plants (CLAMP) has become an implicit siting policy. We surveyed 2,101 people who lived within 50 miles of 11 existing major nuclear sites and 600 who lived elsewhere in the United States. Thirty-four percent favored CLAMP for new nuclear power plants, 52% for waste management facilities, and 50% for new nuclear laboratories. College educated, relatively affluent male whites were the strongest CLAMP supporters. They disproportionately trusted those responsible for the facilities and were not worried about existing nuclear facilities or other local environmental issues. Notably, they were concerned about continuing coal use. Not surprisingly, CLAMP proponents tended to be familiar with their existing local nuclear site. In short, likely CLAMP sites have a large and politically powerful core group to support a CLAMP policy. The challenge to proponents of nuclear technologies will be to sustain this support and expand the base among those who clearly are less connected and receptive to new nearby sites.