大力发展农产品加工业提高农业市场竞争力

加入WTO后,我省的农业结构调整进入了根本性变革的新阶段,除从农业内部着手外,更需要从农业之外寻找出路.做大做强农产品加工业将提高我省农产品竞争能力,农产品加工业的大发展将担负起优化结构,增加收入的历史重任.而要发展农产品加工业,必须实现六个方面的突破.     

延迟支付条件下易逝品的最优订货决策研究

本文在考虑延期支付的情况下构建了二级供应链关于易逝品的最优订货决策模型,其中供应链由单个供应商和多个面临资金约束的零售商组成。在不允许缺货的情况下,供应商为零售商提供延迟支付来缓解零售商的资金压力,同时零售商对产品的定价将随易逝品的价值变质而变化。本文利用遗传算法对模型进行了算例分析,同时对模型中的相关参数进行了敏感性分析。结果表明,延迟支付能够提高供应链总利润并降低风险,从而有利于供应链整体效益的提高。在延期支付条件下,供应链各成员获得的收益增量存在较大差距,其中供应商能够获得更多收益。最后,通过敏感性分析,我们还发现产量及易逝品保质期的变动会对供应链整体利润产生不同程度的影响。     

生鲜产品供应链最优化决策综述与拓展建议

生鲜产品具有强时效、低残值、高随机的特点。为综合了解生鲜产品企业的优化决策及其供应链的契约协调,采用文献归纳法,综述生鲜产品的易逝性刻画方法、生鲜企业的优化决策模型、以及渠道契约协调机制,并分析进一步可以拓展的研究方向。拓展建议有三点,一是将市场或消费者因素纳入变质率函数;二是寻找全链保鲜投入和终端货架服务与成本效益的均衡点:三是设计兼具收益共享和成本分担功能的契约机制。     

信息不完全确定的区域产品模糊区间聚类方法

区域产品分类与选择是区域经济发展中最重要和最基础的工作.在产品选择与分类时,需要确定指标权系数和分类阈值等参数,这在实际应用中是比较困难的.针对这种情况,提出了一种信息不完全确定的区域产品模糊区间聚类方法.该方法构建了指标权系数信息不完全确定的最优模糊区间聚类模型,利用遗传算法和改进的FCM算法联合求解所得优化模型,得到指标权系数、最优聚类中心和最优划分,进而确定各产品所属类别.最后将该方法应用于某区域的产品分类和主导产品的确定中,实例计算说明该方法的可行性和有效性.     

陕西农产品外贸物流与县域经济发展联盟体系与机制

农产品外贸物流对农业生产发展和县域经济繁荣具有十分重要的作用。基于陕西农产品外贸物流与县域经济发展的条件和基础,分析了制约陕西农产品外贸物流与县域经济发展的主要因素,构建了陕西农产品外贸物流与县域经济发展的“共享联盟”体系,包括：战略联盟、利益联盟、组织联盟、流程联盟、信息联盟、标准联盟。在此基础上提出陕西农产品外贸物流与县域经济发展的机制建设,即一个优化、三个亮点、五个抓手,从而为实现陕西经济的发展奠定保障基础,为我国西部经济未来发展、“丝绸之路”经济带以及整个国家经济和社会和谐发展发挥应有作用。     

企业农产品电子商务能力测度的实证研究

低水平的农产品电子商务能力阻碍了农产品企业的可持续发展和创新。基于社会物质主义理论,构建企业农产品电子商务能力的模型,讨论农产品电子商务能力的内涵、形成机制和作用效果;并对316份企业样本数据,运用内容分析、问卷调查法和结构方程分析方法对理论模型进行实证检验。结果发现,农产品电子商务能力具有多维度结构,包含管理能力、技术能力和人才能力三个核心维度,且三者相互关联,共同对农产品电子商务能力产生作用。由此开发出量表以期为企业提升农产品电子商务能力提供一个可操作和量化的通用工具。     

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。     

Pharmacovigilance in Clinical Trials: Current Practice and Challenges

In view of the MENA increasing participation in multinational trials and the increasing number of national/regional trials, this article explores potential areas of pharmacovigilance, requiring reform and provides recommendations for building a robust safety reporting system. Regulatory silence on expedited reporting requirements creates confusion for local sites that are part of multinational trials. Not allowing waiver for serious adverse events that are protocol specified or are study endpoints, along with lack of emphasis on causality as reporting criteria, adds substantial burden of uninformative cases for regulatory review. Despite global focus on Development Safety Update Report, local regulators are not yet insistent on real-time update of a drug’s cumulative safety profile. Issues like reporting requirements for generic trials, pregnancy reporting and lenient timeline for death/life-threatening events need attention. Finally, the need to formulate an all-encompassing local pharmacovigilance guideline, in sync with global practice cannot be overemphasized.     

A Design of Attributes Double Sampling Plans for Three-class Products

In this article, a new attributes double sampling plan for three-class products (ADSPTP) is presented, and the corresponding operating characteristic function is constructed based on the given procedure of performing ADSPTP. Average sample numbers (ASN) for complete inspection and curtailed inspection of the second sample are derived and the extreme point is discussed on the three-dimensional ASN surface. In addition, the differences arising from different parameters are studied. Sampling plans are designed by a nonlinear optimization model. Finally, numerical examples and discussions are given to illustrate the obtained results, and tables of the designed plans under various conditions are provided.     

Foot-and-Mouth Disease Entrance Assessment Model Through Air Passenger Violations

This article aims to construct a risk model for the prediction of foot-and-mouth disease (FMD) entrance caused by passengers who illegally carry meat products of cloven-hoofed animals through international airports into a country. The risk that meat contaminated with the FMD virus is formulated as the probabilities of FMD factor events (the prevalence of FMD), the commodity factor event (the transportation, storage, and distribution (TSD) factor event), and the passenger event. Data used for analysis were records of illegal meat product carriers from areas A and B intercepted at an international airport in Taiwan. A risk model was proposed to simulate the probability distributions in disease prevalence, probability of FMD virus existing in the meat products after meat processing, and estimation of survival of virus and time period for TSD. The probability of the passenger event was hypothesized with the odds of intercepted passengers and estimated via logistic regression. The results showed that the odds of passengers being intercepted by beagles were higher than those intercepted by Customs. By conducting Monte Carlo simulations, the probability of FMD virus risk caused by FMD factors from area A was 149 times lower than that from area B. The probability of FMD virus risk caused by the passenger event from area A was four times lower than the corresponding probability from area B. The model provides a contribution to FMD prevention and can be a reference for developing models of other diseases.