大型供应链设计的基本数学模型与算法研究

随着信息技术与全球经济一体化的发展,供应链管理成为全球管理科学的研究热点。本文在分析国内外各种关于供应链设计的数学模型与算法的基础上,提出了具有普遍性意义且简单易行的MIP供应链设计的数学模型以及求解供应链问题的有界变量广义上界算法。实例计算表明,提出的模型和方法是可靠实用的。     

我国制造业产能利用率测度与影响因素研究——基于十个重点行业

选取制造业的十个重点行业,使用2001-2014年的面板数据,运用数据包络分析法(DEA)对其产能利用率、技术效率和设备利用率进行了测算,结果显示:我国制造业的部分行业存在严重的产能过剩问题;非金属矿物制品业、黑色金属冶炼和压延加工业等传统行业的产能利用率较低;通信设备、计算机及其他电子设备制造业等新兴行业的产能利用率相对较高.剖析制造业产能过剩的影响因素,发现市场需求与产能利用率存在显著的正相关关系,资本密集度、就业水平、开放度、金融支持与产能利用率有显著的负相关关系.     

新常态下供销社经营模式的转型与创新研究

随着我国新型四化的深入推进,农村经济建设迈入了新阶段。在新常态下,供销社的迫切任务是加快转型升级,切实提高为农服务能力。因而这就要求我们既要把握好传统业务,又要善用改革和创新的思维开拓新型业务,用业务经营发展促使供销社转型升级。面对我国经济发展新常态,供销社过去长期积累起来的服务“三农”的宝贵经验遇到了很大的挑战,在经营过程中所暴露出的经营方式、手段等方面都存在着很多弊端,进而阻碍了供销社的生存与发展。供销社要想走为农服务的道路,转型与创新势在必行。基于经济发展新常态,分析供销社在发展中存在的突出问题;研究供销社进行转型与创新的必要性;最后归纳总结供销社经营模式的创新途径。     

县级政府、供应链管理与农产品上行关系研究

基于中国13省87个电子商务进农村示范县的调研材料,分析政府项目驱动下农产品上行问题。实践表明,政策利好为县域农产品电商发展提供了试错空间,“S2B2C”的供应链管理模式对农产品上行的推动作用明显。但是,多数县级政府未能认识到供应链管理之于农产品上行的作用,普遍存在政府治理方式滞后、公共服务网络不健全、农产品区域公用品牌缺乏、冷链等基础设施投入不足等问题。因此,为有效推动农产品上行,政府应进一步推动“公私合作”、构建一体化的公共服务、注重品牌营销、优化产品供应链管理。     

龚自珍碑志文探微

以《龚自珍全集》收录的碑志文为研究对象,从中透视龚自珍碑志文的思想内容和艺术特色。龚自珍的碑志文主要是较为熟知的人所写,较少有＂谀墓＂的成分,其碑志文不仅在内容上表达了他对封建科举制度的深刻不满和壮志难酬的愤懑之情,而且反映了他对自己所处时代及社会的认真思考。他的碑志文具有很强的形象性、论辩性,在结构上比较注重开头的艺术,语言风格丰富多样。     

广义ATO下基于多种团购模型的供应链协调

针对由多个供应商、单个制造商和零售商所组成的广义按订单装配式供应链，在上游多个供应商不确定的零部件（或商品）供应以及下游客户不确定的需求的环境下，首先分析基本模型中团购前后的零售商和制造商的利润变化，然后提出了团购的标准模型和协调模型，并比较三种不同的团购模型对各成员以及全局供应链绩效的影响。通过数学推导证明和仿真数据算例分析，结果表明：零售商自发的团购基本模型总是对制造商有利，而对零售商的好处是有限的；由制造商主导的团购标准模型在满足一定条件时是优于团购基本模型的，但有使得零售商甚至制造商自身受到损失的可能；而集中决策下的团购协调模型能够提升全局供应链的期望利润，实现渠道的帕累托改善，但协调的效果会受到团购客户组成结构的限制。     

Green supply chain management: the case of the construction sector in the United Arab Emirates (UAE)

Restraining the negative environmental impacts of the construction sector constitutes one of the major challenges of the twenty-first century. However, efforts to address it have been largely fragmented. With environmental consequences of a construction project typically dispersed across its life cycle, i.e. from design through to end-of-life, greening this sector requires a supply chain wide focus inclusive of all key stages and stakeholders; also, all relevant aspects such as the nature of green practices implemented and associated drivers, barriers and performance implications need to be considered. This forms the focus of the present study where a comprehensive, green supply chain management oriented understanding of the construction sector is developed through the context of the UAE construction sector, and incorporating inputs from all key stakeholders, i.e. Developers, Architects/Consultants, Contractors and (material) Suppliers. The study contributes to improving the efficiency and effectiveness of greening of the construction sector.     

Comparing policy advisory systems beyond the OECD: models,dynamics and the second-generation research agenda

ABSTRACT

The concept of “policy advisory systems” was introduced by Halligan in 1995 as a way to characterize and analyze the multiple sources of policy advice utilized by governments in policy-making processes. The concept has proved useful and has influenced thinking about both the nature of policy work in different advisory venues as well as how these systems change over time. However, to date this work has examined mainly cases of developed countries and its application to developing and transitional countries is less certain. This paper sets out existing models of policy advisory systems based on Halligan’s original thinking on the subject and assesses the findings of many existing studies into OECD countries that advisory systems have been changing as a result of the dual effects of increased use of external consultants and others sources of advice – “externalization” – and the increased use of partisan advice inside government itself – “politicization”. Determining whether or not such changes have also characterized the situations found in developing and transitional countries and at the international-domestic and state-sub-state levels is the subject of the papers in this Special Issue.     

Preference for realistic art predicts support for Brexit

Following the UK’s EU referendum in June 2016, there has been considerable interest from scholars in understanding the characteristics that differentiate Leave supporters from Remain supporters. Since Leave supporters score higher on conscientiousness but lower on neuroticism and openness, and given their general proclivity toward conservatism, we hypothesized that preference for realistic art would predict support for Brexit. Data on a large nationally representative sample of the British population were obtained, and preference for realistic art was measured using a four‐item binary choice test. Controlling for a range of personal characteristics, we found that respondents who preferred all four realistic paintings were 15–20 percentage points more likely to support Leave than those who preferred zero or one realistic paintings. This effect was comparable to the difference in support between those with a degree and those with no education, and was robust to controlling for the respondent’s party identity.     

Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities

In this article, an agent‐based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community‐built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent‐based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS–community system is quantified using direct, EPSS‐related, societal, and community‐related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS–community seismic resilience. The use of the agent‐based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent‐based EPSS–community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.