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。     

重庆汽车产业全产业链发展的现状与思考

重庆作为中国汽车产业都城之一,经过多年发展,汽车产业全产业链不断完善,品牌竞争力不断增强,但同时也出现了诸如产业链不紧密、创新能力不强等现实问题,这为研究重庆汽车产业全产业链提出了迫切要求。文章通过实证分析方法,分析重庆汽车产业全产业链发展现状,从理论与实践角度提出进一步完善重庆汽车产业全产业链的建议。     

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。     

全球价值链视角下中国钢铁产能过剩形成机制

国际分工背景下,提升产业价值链地位,破解低端锁定困境,既是化解过剩产能的出发点,也是落脚点。从国内制造业价值链、产业全球价值链及贸易结构等宏观层面,探究中国钢铁产业价值链低端锁定下的产能过剩形成机制,并聚焦于国际大型钢企,挖掘其微观原因。研究表明:钢铁产业处于中国制造业价值链近乎底部的位置,虽然增值能力总体有所增强,产业链条不断延伸,但与发达国家相比仍存在较大差距;在制造业价值链与钢铁产业全球价值链中存在的“微笑曲线”表明,中国钢铁产业的利润空间受到了国内外的双重挤压,产业升级压力巨大;国内议价、盈利能力普遍较差,下游业务联动不足及竞争优势缺乏是导致国内大型钢企的价值链低端锁定主要原因。目前而言,钢铁产业产能过剩与价值链低端锁定相互强化趋势明显。     

A delay-in-payment contract for Pareto improvement of a supply chain with stochastic demand

We consider a supply chain consisting of a single supplier and a single retailer with stochastic customer demand, which is operated over an infinite horizon. We propose a delay-in-payment contract to coordinate the supply chain. With this contract, the supplier allows the retailer to pay partial order cost at the ordering epoch, and to pay the remaining portion after a permissible number of periods. The system is formulated as a stochastic dynamic programming problem. It is shown that there exists a base-stock policy to be optimal. Compared with the traditional wholesale-price contract, the delay-in-payment contract with appropriate parameters can achieve a Pareto improvement (i.e., the performances of both the supplier and the retailer using the delay-in-payment contract are better than those using the wholesale-price contract). Numerical studies are performed to investigate both the effectiveness of the Pareto improvement, and the impact of the major parameters of the delay-in-payment contract on the system performance.     

Independent attributes control chart for Markov-dependent processes

Statistical process monitoring (SPM) is a very efficient tool to maintain and to improve the quality of a product. In many industrial processes, end product has two or more attribute-type quality characteristics. Some of them are independent, but the observations are Markovian dependent. It is essential to develop a control chart for such situations. In this article, we develop an Independent Attributes Control Chart for Markov Dependent Processes based on error probabilities criterion under the assumption of one-step Markov dependency. Implementation of the chart is similar to that of Shewhart-type chart. Performance of the chart has been studied using probability of detecting shift criterion. A procedure to identify the attribute(s) responsible for out-of-control status of the process is given.     

茶叶供应者质量安全认知与行为分析——基于浙江500位茶叶供应者的问卷调查

茶叶质量安全问题制约了中国茶叶产业的可持续发展。通过构建茶叶供应质量控制主要环节结构体系,对各环节供应者质量安全认知与质量控制行为考察,利用TOPSIS模型对茶叶供应质量控制关键点进行分析,归纳出当下茶叶供应链质量控制关键环节、重要环节和普通环节。研究表明:茶叶种植者、加工者质量安全基本认知程度较低;供应者在产前环节、种植管理环节、加工环节、储运销售环节中的部分质量控制行为薄弱。茶叶供应者素质良莠不齐是质量安全认知层次不同的主要原因,因此,需对不同供应者有针对性地进行质量安全认知强化。     

A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing

This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order assignment problem. A novel improvisation process is also proposed to improve the optimum-seeking performance. The effectiveness of the proposed model is validated by numerical experiments. The experimental results show that (1) the proposed model can solve the investigated problem effectively and that (2) the proposed memetic optimization process exhibits better optimum-seeking performance than genetic algorithm-based and traditional memetic optimization processes.     

Robustness to non-normality and autocorrelation of individuals control charts

This paper studies the effects of non-normality and autocorrelation on the performances of various individuals control charts for monitoring the process mean and/or variance. The traditional Shewhart X chart and moving range (MR) chart are investigated as well as several types of exponentially weighted moving average (EWMA) charts and combinations of control charts involving these EWMA charts. It is shown that the combination of the X and MR charts will not detect small and moderate parameter shifts as fast as combinations involving the EWMA charts, and that the performana of the X and MR charts is very sensitive to the normality assumption. It is also shown that certain combinations of EWMA charts can be designed to be robust to non-normality and very effective at detecting small and moderate shifts in the process mean and/or variance. Although autocorrelation can have a significant effect on the in-control performances of these combinations of EWMA charts, their relative out-of-control performances under independence are generally maintained for low to moderate levels of autocorrelation.     

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。